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Nagarajan P, Winkler TW, Bentley AR, Miller CL, Kraja AT, Schwander K, Lee S, Wang W, Brown MR, Morrison JL, Giri A, O’Connell JR, Bartz TM, de las Fuentes L, Gudmundsdottir V, Guo X, Harris SE, Huang Z, Kals M, Kho M, Lefevre C, Luan J, Lyytikäinen LP, Mangino M, Milaneschi Y, Palmer ND, Rao V, Rauramaa R, Shen B, Stadler S, Sun Q, Tang J, Thériault S, van der Graaf A, van der Most PJ, Wang Y, Weiss S, Westerman KE, Yang Q, Yasuharu T, Zhao W, Zhu W, Altschul D, Ansari MAY, Anugu P, Argoty-Pantoja AD, Arzt M, Aschard H, Attia JR, Bazzanno L, Breyer MA, Brody JA, Cade BE, Chen HH, Ida Chen YD, Chen Z, de Vries PS, Dimitrov LM, Do A, Du J, Dupont CT, Edwards TL, Evans MK, Faquih T, Felix SB, Fisher-Hoch SP, Floyd JS, Graff M, Gu C, Gu D, Hairston KG, Hanley AJ, Heid IM, Heikkinen S, Highland HM, Hood MM, Kähönen M, Karvonen-Gutierrez CA, Kawaguchi T, Kazuya S, Kelly TN, Komulainen P, Levy D, Lin HJ, Liu PY, Marques-Vidal P, McCormick JB, Mei H, Meigs JB, Menni C, Nam K, Nolte IM, Pacheco NL, Petty LE, Polikowsky HG, Province MA, Psaty BM, Raffield LM, Raitakari OT, Rich SS, Riha RL, Risch L, Risch M, Ruiz-Narvaez EA, Scott RJ, Sitlani CM, Smith JA, Sofer T, Teder-Laving M, Völker U, Vollenweider P, Wang G, van Dijk KW, Wilson OD, Xia R, Yao J, Young KL, Zhang R, Zhu X, Below JE, Böger CA, Conen D, Cox SR, Dörr M, Feitosa MF, Fox ER, Franceschini N, Gharib SA, Gudnason V, Harlow SD, He J, Holliday EG, Kutalik Z, Lakka TA, Lawlor DA, Lee S, Lehtimäki T, Li C, Liu CT, Mägi R, Matsuda F, Morrison AC, Penninx BWJH, Peyser PA, Rotter JI, Snieder H, Spector TD, Wagenknecht LE, Wareham NJ, Zonderman AB, North KE, Fornage M, Hung AM, Manning AK, Gauderman J, Chen H, Munroe PB, Rao DC, van Heemst D, Redline S, Noordam R, Wang H. A Large-Scale Genome-Wide Study of Gene-Sleep Duration Interactions for Blood Pressure in 811,405 Individuals from Diverse Populations. medRxiv 2024:2024.03.07.24303870. [PMID: 38496537 PMCID: PMC10942520 DOI: 10.1101/2024.03.07.24303870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
Although both short and long sleep duration are associated with elevated hypertension risk, our understanding of their interplay with biological pathways governing blood pressure remains limited. To address this, we carried out genome-wide cross-population gene-by-short-sleep and long-sleep duration interaction analyses for three blood pressure traits (systolic, diastolic, and pulse pressure) in 811,405 individuals from diverse population groups. We discover 22 novel gene-sleep duration interaction loci for blood pressure, mapped to genes involved in neurological, thyroidal, bone metabolism, and hematopoietic pathways. Non-overlap between short sleep (12) and long sleep (10) interactions underscores the plausibility of distinct influences of both sleep duration extremes in cardiovascular health. With several of our loci reflecting specificity towards population background or sex, our discovery sheds light on the importance of embracing granularity when addressing heterogeneity entangled in gene-environment interactions, and in therapeutic design approaches for blood pressure management.
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Affiliation(s)
- Pavithra Nagarajan
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Thomas W Winkler
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Amy R Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, US National Institutes of Health, Bethesda, MD, USA
| | - Clint L Miller
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesvil le, VA, USA
- Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville ,VA, USA
| | - Aldi T Kraja
- University of Mississippi Medical Center, Jackson, MS, USA
| | - Karen Schwander
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Songmi Lee
- Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX, USA
| | - Wenyi Wang
- Department of Human Genetics, Leiden University Medical Center, Leiden, Netherlands
| | - Michael R Brown
- Human Genetics Center, Department of Epidemiology, University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA
| | - John L Morrison
- Division of Biostatistics, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Ayush Giri
- Division of Quantitative Sciences, Department of Obstetrics & Gynecology, Vanderbilt University Medical Center, Nashville, TN, USA
- Biomedical Laboratory Research and Development, Tennessee Valley Healthcare System (626), Department of Veterans Affairs/ Nashville, TN, USA
| | - Jeffrey R O’Connell
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Lisa de las Fuentes
- Cardiovascular Division, Department of Medicine, Washington University School of Medicine in St. Louis, MO, USA
- Center for Biostatistics and Data Science, Institute for Informatics, Data Science, and Biostatistics, Washington University in St. Louis, School of Medicine, St. Louis, MO, USA
| | - Valborg Gudmundsdottir
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, Department of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Sarah E Harris
- Department of Psychology, The University of Edinburgh, Edinburgh, UK
| | - Zhijie Huang
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, US
| | - Mart Kals
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Minjung Kho
- Graduate School of Data Science, Seoul National University, Seoul, South Korea
| | - Christophe Lefevre
- Department of Data Sciences, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Jian’an Luan
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
- Finnish Cardiovascular Research Center - Tampere, Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere, Finland
| | - Massimo Mangino
- Department of Twin Research, King’s College London, London, UK
- National Heart & Lung Institute, Cardiovascular Genomics and Precision Medicine, Imperial College London, London, UK
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam UMC/Vrije universiteit, Amsterdam, Netherlands
- GGZ inGeest, Amsterdam, Netherlands
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Varun Rao
- Division of Nephrology, Department of Medicine, University of Illinois Chicago, Chicago, USA
| | - Rainer Rauramaa
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Botong Shen
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - Stefan Stadler
- Department of Internal Medicine II, University Hospital Regensburg, Regensburg, Germany
| | - Quan Sun
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jingxian Tang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Sébastien Thériault
- Department of Molecular Biology, Medical Biochemistry and Pathology, Université Laval, Quebec City, Qc, Canada
| | - Adriaan van der Graaf
- Statistical Genetics Group, Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
| | - Peter J van der Most
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Yujie Wang
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Stefan Weiss
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
| | - Kenneth E Westerman
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Mongan Institute, Massachusetts General Hospital, Boston, MA, USA
| | - Qian Yang
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Tabara Yasuharu
- Graduate School of Public Health, Shizuoka Graduate University of Public Health, Shizuoka, Japan
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Wei Zhao
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Wanying Zhu
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Drew Altschul
- Department of Psychology, The University of Edinburgh, Edinburgh, UK
| | - Md Abu Yusuf Ansari
- Department of Data Science, University of Mississippi Medical Center, Jackson, MS, USA
| | - Pramod Anugu
- Jackson Heart Study, University of Mississippi Medical Center, Jackson, MS, USA
| | - Anna D Argoty-Pantoja
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Michael Arzt
- Department of Internal Medicine II, University Hospital Regensburg, Regensburg, Germany
| | - Hugues Aschard
- Department of Computational Biology, F-75015 Paris, France Institut Pasteur, Université Paris Cité, Paris, France
- Department of Epidemiology, Harvard TH School of Public Health, Boston, MA, USA
| | - John R Attia
- School of Medicine and Public Health, College of Health Medicine and Wellbeing, University of Newcastle, New Lambton Heights, NSW, Australia
| | - Lydia Bazzanno
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, US
| | - Max A Breyer
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Brian E Cade
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Hung-hsin Chen
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yii-Der Ida Chen
- The Institute for Translational Genomics and Population Sciences, Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Zekai Chen
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Paul S de Vries
- Human Genetics Center, Department of Epidemiology, University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA
| | - Latchezar M Dimitrov
- Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Anh Do
- Center for Biostatistics and Data Science, Institute for Informatics, Data Science, and Biostatistics, Washington University in St. Louis, School of Medicine, St. Louis, MO, USA
| | - Jiawen Du
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Charles T Dupont
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Todd L Edwards
- Biomedical Laboratory Research and Development, Tennessee Valley Healthcare System (626), Department of Veterans Affairs/ Nashville, TN, USA
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, US A
| | - Michele K Evans
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - Tariq Faquih
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Stephan B Felix
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
- Cardiology, Pneumology, Infectious Diseases, Intensive Care Medicine, Department of Internal Medicine B, Un iversity Medicine Greifswald, Greifswald, Germany
| | - Susan P Fisher-Hoch
- School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Brownsville, TX, USA
| | - James S Floyd
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Mariaelisa Graff
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Charles Gu
- Center for Biostatistics and Data Science, Institute for Informatics, Data Science, and Biostatistics, Washington University in St. Louis, School of Medicine, St. Louis, MO, USA
| | - Dongfeng Gu
- Shenzhen Key Laboratory of Cardiovascular Health and Precision Medicine, Southern University of Science an d Technology, Shenzhen, China
| | - Kristen G Hairston
- Department of Endocrinology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Anthony J Hanley
- Department of Nutritional Sciences, University of Toronto, Toronto, ON, Canada
| | - Iris M Heid
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Sami Heikkinen
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Kuopio
| | - Heather M Highland
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Michelle M Hood
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Mika Kähönen
- Finnish Cardiovascular Research Center - Tampere, Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere, Finland
- Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland
| | | | - Takahisa Kawaguchi
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Setoh Kazuya
- Graduate School of Public Health, Shizuoka Graduate University of Public Health, Shizuoka, Japan
| | - Tanika N Kelly
- Division of Nephrology, Department of Medicine, University of Illinois Chicago, Chicago, USA
| | | | - Daniel Levy
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Henry J Lin
- The Institute for Translational Genomics and Population Sciences, Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Peter Y Liu
- The Institute for Translational Genomics and Population Sciences, Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland
- Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Joseph B McCormick
- School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Brownsville, TX, USA
| | - Hao Mei
- Department of Data Science, University of Mississippi Medical Center, Jackson, MS, USA
| | - James B Meigs
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Cristina Menni
- Department of Twin Research, King’s College London, London, UK
| | - Kisung Nam
- Graduate School of Data Science, Seoul National University, Seoul, South Korea
| | - Ilja M Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Natasha L Pacheco
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - Lauren E Petty
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Hannah G Polikowsky
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Michael A Province
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Laura M Raffield
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Olli T Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, and Department of Clinical Physiology and Nuclear Medicine, University of Turku, and Turku University Hospital, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Renata L Riha
- Department of Sleep Medicine, The University of Edinburgh, Edinburgh, UK
| | - Lorenz Risch
- Faculty of Medical Sciences , Institute for Laboratory Medicine, Private University in the Principality of Liecht enstein, Vaduz, Liechtenstein
- Center of Laboratory Medicine, Institute of Clinical Chemistry, University of Bern and Inselspital, Bern, Switze rland
| | - Martin Risch
- Central Laboratory, Cantonal Hospital Graubünden, Chur, Switzerland
- Medical Laboratory, Dr. Risch Anstalt, Vaduz, Liechtenstein
| | | | - Rodney J Scott
- School of Biomedical Sciences and Pharmacy, College of Health Medicine and Wellbeing, University of Newcastle, New Lambton Heights, NSW, Australia
| | - Colleen M Sitlani
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Jennifer A Smith
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- CardioVascular Institute (CVI), Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Maris Teder-Laving
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Uwe Völker
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
| | - Peter Vollenweider
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland
- Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Guanchao Wang
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Ko Willems van Dijk
- Department of Human Genetics, Leiden University Medical Center, Leiden, Netherlands
- Department of Internal Medicine, Division of Endocrinology, Leiden, Netherlands
| | - Otis D Wilson
- Biomedical Laboratory Research and Development, Tennessee Valley Healthcare System (626), Department of Veterans Affairs/ Nashville, TN, USA
- Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Rui Xia
- Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX, USA
| | - Jie Yao
- The Institute for Translational Genomics and Population Sciences, Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Kristin L Young
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ruiyuan Zhang
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, US
| | - Xiaofeng Zhu
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA
| | - Jennifer E Below
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Carsten A Böger
- Department of Nephrology, University Hospital Regensburg, Regensburg, Germany
- Department of Nephrology and Rheumatology, Kliniken Südostbayern, Traunstein, Germany
- KfH Kidney Centre Traunstein, Traunstein, Germany
| | - David Conen
- Population Health Research Institute, Medicine, McMaster University, Hamilton, On, Canada
| | - Simon R Cox
- Department of Psychology, The University of Edinburgh, Edinburgh, UK
| | - Marcus Dörr
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
- Cardiology, Pneumology, Infectious Diseases, Intensive Care Medicine, Department of Internal Medicine B, Un iversity Medicine Greifswald, Greifswald, Germany
| | - Mary F Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Ervin R Fox
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Nora Franceschini
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sina A Gharib
- Pulmonary, Critical Care and Sleep Medicine, Medicine, University of Washington, Seattle, WA, USA
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, Department of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Sioban D Harlow
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, US
- Tulane University Translational Sciences Institute, New Orleans, LA , USA
| | - Elizabeth G Holliday
- School of Medicine and Public Health, College of Health Medicine and Wellbeing, University of Newcastle, New Lambton Heights, NSW, Australia
| | - Zoltan Kutalik
- Statistical Genetics Group, Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland
| | - Timo A Lakka
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Kuopio
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Seunggeun Lee
- Graduate School of Data Science, Seoul National University, Seoul, South Korea
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
- Finnish Cardiovascular Research Center - Tampere, Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere, Finland
| | - Changwei Li
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, US
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Reedik Mägi
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Fumihiko Matsuda
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA
| | - Brenda WJH Penninx
- Department of Psychiatry, Amsterdam UMC/Vrije universiteit, Amsterdam, Netherlands
- GGZ inGeest, Amsterdam, Netherlands
| | - Patricia A Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Tim D Spector
- Department of Twin Research, King’s College London, London, UK
| | - Lynne E Wagenknecht
- Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | | | - Alan B Zonderman
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - Kari E North
- Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX, USA
- Human Genetics Center, Department of Epidemiology, University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA
| | | | - Adriana M Hung
- Biomedical Laboratory Research and Development, Tennessee Valley Healthcare System (626), Department of Veterans Affairs/ Nashville, TN, USA
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA
| | - Alisa K Manning
- Clinical and Translational Epidemiology Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Metabolism Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - James Gauderman
- Division of Biostatistics, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Han Chen
- Human Genetics Center, Department of Epidemiology, University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA
- Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Patricia B Munroe
- Clinical Pharmacology and Precision Medicine, Queen Mary University of London, London, UK
| | - Dabeeru C Rao
- Center for Biostatistics and Data Science, Institute for Informatics, Data Science, and Biostatistics, Washington University in St. Louis, School of Medicine, St. Louis, MO, USA
| | - Diana van Heemst
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Lei den, Netherlands
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Raymond Noordam
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Lei den, Netherlands
| | - Heming Wang
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
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Bui H, Keshawarz A, Wang M, Lee M, Ratliff SM, Lin L, Birditt KS, Faul JD, Peters A, Gieger C, Delerue T, Kardia SLR, Zhao W, Guo X, Yao J, Rotter JI, Liu D, Tavares JF, Pehlivan G, Breteler MM, Karabegovic I, Ochoa-Rosales C, Voortman T, Ghanbari M, van Meurs JB, Nasr MK, Dörr M, Grabe HJ, London SJ, Teumer A, Waldenberger M, Weir DR, Smith JA, Levy D, Ma J, Liu C. Association analysis between an epigenetic alcohol risk score and blood pressure. medRxiv 2024:2024.02.29.24303545. [PMID: 38464320 PMCID: PMC10925472 DOI: 10.1101/2024.02.29.24303545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Epigenome-wide association studies have revealed multiple DNA methylation sites (CpGs) associated with alcohol consumption, an important lifestyle risk factor for cardiovascular diseases. We generated an alcohol consumption epigenetic risk score (ERS) based on previously reported 144 alcohol-associated CpGs and examined the association of the ERS with systolic blood pressure (SBP), diastolic blood pressure (DBP), and hypertension (HTN) in 3,898 Framingham Heart Study (FHS) participants. We found an association of alcohol intake with the ERS in the meta-analysis with 0.09 units higher ERS per drink consumed per day (p<0.0001). Cross-sectional analyses in FHS revealed that a one-unit increment of the ERS was associated with 1.93 mm Hg higher SBP (p=4.64E-07), 0.68 mm Hg higher DBP (p=0.006), and an odds ratio of 1.78 for HTN (p<2E-16). Meta-analysis of the cross-sectional association of the ERS with BP traits in eight independent external cohorts (n=11,544) showed similar relationships with blood pressure levels, i.e., a one-unit increase in ERS was associated with 0.74 (p=0.002) and 0.50 (p=0.0006) mm Hg higher SBP and DBP, but could not confirm the association with hypertension. Longitudinal analyses in FHS (n=3,260) and five independent external cohorts (n=4,021) showed that the baseline ERS was not associated with a change in blood pressure over time or with incident HTN. Our findings provide proof-of-concept that utilizing an ERS is a useful approach to capture the recent health consequences of lifestyle behaviors such as alcohol consumption.
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Affiliation(s)
- Helena Bui
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Amena Keshawarz
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Mengyao Wang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Mikyeong Lee
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Scott M. Ratliff
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Lisha Lin
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Kira S. Birditt
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI
| | - Jessica D. Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Munich, German Research Center for Environmental Health, German
- Institute for Medical Informatics, Biometrics and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
| | - Christian Gieger
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Munich, German Research Center for Environmental Health, Bavaria, Germany
| | - Thomas Delerue
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Munich, German Research Center for Environmental Health, Bavaria, Germany
| | - Sharon L. R. Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Xiuqing Guo
- The Institute for Translational Genomics and Populations, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Jie Yao
- The Institute for Translational Genomics and Populations, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Populations, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Dan Liu
- Population Health Sciences, German Centre for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Juliana F. Tavares
- Population Health Sciences, German Centre for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Gökhan Pehlivan
- Population Health Sciences, German Centre for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Monique M.B. Breteler
- Population Health Sciences, German Centre for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Irma Karabegovic
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Carolina Ochoa-Rosales
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Centro de Vida Saludable de la Universidad de Concepción, Concepción, Chile
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Joyce B.J. van Meurs
- Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Mohamed Kamal Nasr
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
| | - Marcus Dörr
- German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | - Hans J. Grabe
- Department of Psychiatry and Psychotherapy, University Medicine, Greifswald, Germany
- German Center of Neurodegenerative Diseases (DZNE), Rostock/Greifswald, site Greifswald, Germany
| | - Stephanie J. London
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, Bialystok, Poland
| | - Melanie Waldenberger
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Munich, German Research Center for Environmental Health, Bavaria, Germany
| | - David R. Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI
| | - Jennifer A. Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI
| | - Daniel Levy
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Jiantao Ma
- Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Chunyu Liu
- Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
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3
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Singer A, Darchi S, Levy D, Sadeh T. Intentional forgetting needs intentional remembering. J Exp Psychol Gen 2024; 153:827-836. [PMID: 38190196 DOI: 10.1037/xge0001536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
Episodic memories may become suppressed, both incidentally and intentionally. Incidental suppression is a result of a competition induced by interfering items or responses. In contrast, intentional suppression is said to result from conscious attempts to suppress certain memory items, and should thus not depend on competition induced by interfering items or responses. However, intentional suppression is typically engendered using the Think/No-Think paradigm, in which participants are required to retrieve some target items and to suppress others. Therefore, rather than intentional suppression, forgetting in this paradigm may reflect incidental suppression of No-Think items induced by interference via prior retrieval of the Think items. To distinguish between these possibilities, we tested participants (n = 40) using an adjusted suppression paradigm, which did not include the Think condition (ExcludeThink paradigm) and compared it with the standard suppression paradigm (IncludeThink paradigm; n = 39) which included a think condition. We found that suppression was not observed in the ExcludeThink paradigm, but only in the IncludeThink paradigm. These results indicate that interference via prior retrieval is necessary to induce forgetting. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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Affiliation(s)
- Adam Singer
- Department of Cognitive and Brain Sciences, Ben-Gurion University of the Negev
| | - Shira Darchi
- Department of Psychology, Ben-Gurion University of the Negev
| | - Daniel Levy
- Baruch Ivcher School of Psychology, Reichman University
| | - Talya Sadeh
- Department of Cognitive and Brain Sciences, Ben-Gurion University of the Negev
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4
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Guirette M, Lan J, McKeown NM, Brown MR, Chen H, de Vries PS, Kim H, Rebholz CM, Morrison AC, Bartz TM, Fretts AM, Guo X, Lemaitre RN, Liu CT, Noordam R, de Mutsert R, Rosendaal FR, Wang CA, Beilin LJ, Mori TA, Oddy WH, Pennell CE, Chai JF, Whitton C, van Dam RM, Liu J, Tai ES, Sim X, Neuhouser ML, Kooperberg C, Tinker LF, Franceschini N, Huan T, Winkler TW, Bentley AR, Gauderman WJ, Heerkens L, Tanaka T, van Rooij J, Munroe PB, Warren HR, Voortman T, Chen H, Rao DC, Levy D, Ma J. Genome-Wide Interaction Analysis With DASH Diet Score Identified Novel Loci for Systolic Blood Pressure. Hypertension 2024; 81:552-560. [PMID: 38226488 PMCID: PMC10922535 DOI: 10.1161/hypertensionaha.123.22334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 12/28/2023] [Indexed: 01/17/2024]
Abstract
BACKGROUND The Dietary Approaches to Stop Hypertension (DASH) diet score lowers blood pressure (BP). We examined interactions between genotype and the DASH diet score in relation to systolic BP. METHODS We analyzed up to 9 420 585 single nucleotide polymorphisms in up to 127 282 individuals of 6 population groups (91% of European population) from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium (n=35 660) and UK Biobank (n=91 622) and performed European population-specific and cross-population meta-analyses. RESULTS We identified 3 loci in European-specific analyses and an additional 4 loci in cross-population analyses at Pinteraction<5e-8. We observed a consistent interaction between rs117878928 at 15q25.1 (minor allele frequency, 0.03) and the DASH diet score (Pinteraction=4e-8; P for heterogeneity, 0.35) in European population, where the interaction effect size was 0.42±0.09 mm Hg (Pinteraction=9.4e-7) and 0.20±0.06 mm Hg (Pinteraction=0.001) in Cohorts for Heart and Aging Research in Genomic Epidemiology and the UK Biobank, respectively. The 1 Mb region surrounding rs117878928 was enriched with cis-expression quantitative trait loci (eQTL) variants (P=4e-273) and cis-DNA methylation quantitative trait loci variants (P=1e-300). Although the closest gene for rs117878928 is MTHFS, the highest narrow sense heritability accounted by single nucleotide polymorphisms potentially interacting with the DASH diet score in this locus was for gene ST20 at 15q25.1. CONCLUSIONS We demonstrated gene-DASH diet score interaction effects on systolic BP in several loci. Studies with larger diverse populations are needed to validate our findings.
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Affiliation(s)
- Mélanie Guirette
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (M.G., J.L., J.M.)
| | - Jessie Lan
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (M.G., J.L., J.M.)
| | - Nicola M McKeown
- Programs of Nutrition, Department of Health Sciences, Sargent College of Health & Rehabilitation Sciences, Boston University, MA (N.M.M.)
| | - Michael R Brown
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston (M.R.B., H.C., P.S.d.V., A.C.M.)
| | - Han Chen
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston (M.R.B., H.C., P.S.d.V., A.C.M.)
| | - Paul S de Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston (M.R.B., H.C., P.S.d.V., A.C.M.)
| | - Hyunju Kim
- Department of Epidemiology (H.K., A.M.F.), Cardiovascular Health Research Unit, University of Washington, Seattle, WA
| | - Casey M Rebholz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (C.M.R.)
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston (M.R.B., H.C., P.S.d.V., A.C.M.)
| | - Traci M Bartz
- Departments of Biostatistics and Medicine (T.M.B.), Cardiovascular Health Research Unit, University of Washington, Seattle, WA
| | - Amanda M Fretts
- Department of Epidemiology (H.K., A.M.F.), Cardiovascular Health Research Unit, University of Washington, Seattle, WA
| | - Xiuqing Guo
- The Lundquist Institute at Harbor-University of California, Los Angeles, Torrance, CA (X.G.)
| | - Rozenn N Lemaitre
- Department of Medicine (R.N.L.), Cardiovascular Health Research Unit, University of Washington, Seattle, WA
| | - Ching-Ti Liu
- Biostatistics, Boston University School of Public Health, MA (C.-T.L.)
| | - Raymond Noordam
- Department of Internal Medicine, Section of Gerontology and Geriatrics (R.N.), Leiden University Medical Center, the Netherlands
| | - Renée de Mutsert
- Department of Clinical Epidemiology (R.d.M., F.R.R.), Leiden University Medical Center, the Netherlands
| | - Frits R Rosendaal
- Department of Clinical Epidemiology (R.d.M., F.R.R.), Leiden University Medical Center, the Netherlands
| | - Carol A Wang
- School of Medicine and Public Health, University of Newcastle, NSW, Australia (C.A.W., C.E.P)
- Mothers' and Babies' Research Program, Hunter Medical Research Institute, NSW, Australia (C.A.W., C.E.P.)
| | - Lawrence J Beilin
- Medical School, Royal Perth Hospital Unit, University of Western Australia, Crawley (L.J.B., T.A.M.)
| | - Trevor A Mori
- Medical School, Royal Perth Hospital Unit, University of Western Australia, Crawley (L.J.B., T.A.M.)
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia (W.H.O.)
| | - Craig E Pennell
- School of Medicine and Public Health, University of Newcastle, NSW, Australia (C.A.W., C.E.P)
- Mothers' and Babies' Research Program, Hunter Medical Research Institute, NSW, Australia (C.A.W., C.E.P.)
| | - Jin Fang Chai
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System (J.F.C., C.W., R.M.v.D., E.S.T., X.S.)
| | - Clare Whitton
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System (J.F.C., C.W., R.M.v.D., E.S.T., X.S.)
- School of Population Health, Curtin University, Perth, Western Australia, Australia (C.W.)
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System (J.F.C., C.W., R.M.v.D., E.S.T., X.S.)
- Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, The George Washington University (R.M.v.D.)
| | - Jianjun Liu
- Genome Institute of Singapore, Agency for Science, Technology and Research (J.L.)
| | - E Shyong Tai
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System (J.F.C., C.W., R.M.v.D., E.S.T., X.S.)
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore (E.S.T.)
| | - Xueling Sim
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System (J.F.C., C.W., R.M.v.D., E.S.T., X.S.)
| | - Marian L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA (M.L.N., C.K., L.F.T.)
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA (M.L.N., C.K., L.F.T.)
| | - Lesley F Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA (M.L.N., C.K., L.F.T.)
| | - Nora Franceschini
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill (N.F.)
| | - TianXiao Huan
- Framingham Heart Study and Population Sciences Branch, National Heart, Lung, and Blood Institute, MA (T.H., D.L.)
| | - Thomas W Winkler
- Department of Genetic Epidemiology, University of Regensburg, Germany (T.W.W.)
| | - Amy R Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD (A.R.B.)
| | - W James Gauderman
- Division of Biostatistics, Department of Population and Public Health Sciences, University of Southern California (W.J.G.)
| | - Luc Heerkens
- Division of Human Nutrition and Health, Wageningen University & Research, the Netherlands (L.H.)
| | - Toshiko Tanaka
- Longitudinal Studies Section, National Institute on Aging, Baltimore, MD (T.T.)
| | - Jeroen van Rooij
- Department of Internal Medicine (J.v.R.), Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Patricia B Munroe
- Centre of Clinical Pharmacology & Precision Medicine, William Harvey Research Institute, Barts and the London Faculty of Medicine and Dentistry, Queen Mary University of London, United Kingdom (P.B.M., H.R.W.)
| | - Helen R Warren
- Centre of Clinical Pharmacology & Precision Medicine, William Harvey Research Institute, Barts and the London Faculty of Medicine and Dentistry, Queen Mary University of London, United Kingdom (P.B.M., H.R.W.)
| | - Trudy Voortman
- Department of Epidemiology (T.V.), Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Honglei Chen
- Department of Epidemiology and Biostatistics College of Human Medicine, Michigan State University, East Lansing (H.C.)
| | - D C Rao
- Center for Biostatistics and Data Science, Institute for Informatics, Data Science, and Biostatistics, Washington University School of Medicine, St. Louis, MO (D.C.R.)
| | - Daniel Levy
- Framingham Heart Study and Population Sciences Branch, National Heart, Lung, and Blood Institute, MA (T.H., D.L.)
| | - Jiantao Ma
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (M.G., J.L., J.M.)
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5
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Zhou JC, Zhao Y, Bello N, Benjamin EJ, Ramachandran VS, Levy D, Cheng S, Murabito JM, Ho JE, Lau ES. Infertility and Subclinical Antecedents of Heart Failure With Preserved Ejection Fraction in the Framingham Heart Study. J Card Fail 2024; 30:513-515. [PMID: 37979670 PMCID: PMC10947933 DOI: 10.1016/j.cardfail.2023.10.482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 10/18/2023] [Accepted: 10/19/2023] [Indexed: 11/20/2023]
Abstract
BACKGROUND Infertility has been shown to be associated with a greater risk of incident heart failure with preserved ejection fraction. We studied the association of infertility with subclinical markers of heart failure with preserved ejection fraction, including echocardiographic signs of cardiac remodeling and cardiac biomarkers. METHODS AND RESULTS A history of infertility was ascertained in 2002 women enrolled in the Framingham Heart Study. We examined the association of infertility with echocardiographic measures and cardiac biomarkers with multivariable-adjusted linear regression models. Among 2002 women (mean age 40.84 ± 9.71 years), 285 (14%) reported a history of infertility. Infertility was associated with a greater E/e' ratio (β = 0.120, standard error 0.057, P = .04), even after adjustment for common confounders. Infertility was not associated with other echocardiographic measures or cardiac biomarkers. CONCLUSIONS Infertility was associated with a greater E/e' ratio, a marker of diastolic dysfunction that may signal earlier subclinical cardiac remodeling in women with infertility.
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Affiliation(s)
- Joyce C Zhou
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts
| | - Yunong Zhao
- Harvard Medical School, Boston, Massachusetts; Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Natalie Bello
- Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Emelia J Benjamin
- Section of Cardiovascular Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts; Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Vasan S Ramachandran
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts; Section of Preventive Medicine and Cardiology and Cardiovascular Medicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts; The Framingham Heart Study, Framingham, Massachusetts
| | - Daniel Levy
- Section of Preventive Medicine and Cardiology and Cardiovascular Medicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts; The Framingham Heart Study, Framingham, Massachusetts; Population Sciences Branch, Division of Intramural Research National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Susan Cheng
- Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Joanne M Murabito
- Section of Preventive Medicine and Cardiology and Cardiovascular Medicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts; The Framingham Heart Study, Framingham, Massachusetts; Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
| | - Jennifer E Ho
- CardioVascular Institute and Division of Cardiology, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Emily S Lau
- Harvard Medical School, Boston, Massachusetts; Cardiovascular Research Center, Massachusetts General Hospital, Boston Massachusetts.
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6
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Levy D, Solomon TJ, Jay SM. Extracellular vesicles as therapeutics for inflammation and infection. Curr Opin Biotechnol 2024; 85:103067. [PMID: 38277970 PMCID: PMC10922601 DOI: 10.1016/j.copbio.2024.103067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 01/02/2024] [Accepted: 01/03/2024] [Indexed: 01/28/2024]
Abstract
Extracellular vesicles (EVs) are an emergent next-generation biotechnology with broad application potential. In particular, immunomodulatory bioactivity of EVs leading to anti-inflammatory effects is well-characterized. Cell source and culture conditions are critical determinants of EV therapeutic efficacy, while augmenting EV anti-inflammatory bioactivity via diverse strategies, including RNA cargo loading and protein surface display, has proven effective. Yet, translational challenges remain. Additionally, the potential of direct antimicrobial EV functionality has only recently emerged but offers the possibility of overcoming drug-resistant bacterial and fungal infections through novel, multifactorial mechanisms. As discussed herein, these application areas are brought together by the potential for synergistic benefit from technological developments related to EV cargo loading and biomanufacturing.
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Affiliation(s)
- Daniel Levy
- Fischell Department of Bioengineering, University of Maryland, 3113 A. James Clark Hall, 8278 Paint Branch Dr., College Park, MD 20742, USA
| | - Talia J Solomon
- Fischell Department of Bioengineering, University of Maryland, 3113 A. James Clark Hall, 8278 Paint Branch Dr., College Park, MD 20742, USA
| | - Steven M Jay
- Fischell Department of Bioengineering, University of Maryland, 3113 A. James Clark Hall, 8278 Paint Branch Dr., College Park, MD 20742, USA; Program in Molecular Biology, University of Maryland, 3113 A. James Clark Hall, 8278 Paint Branch Dr., College Park, MD 20742, USA.
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7
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Guan Y, Levy D. Estimation of inbreeding and kinship coefficients via latent identity-by-descent states. Bioinformatics 2024; 40:btae082. [PMID: 38364309 PMCID: PMC10902678 DOI: 10.1093/bioinformatics/btae082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 01/15/2024] [Accepted: 02/12/2024] [Indexed: 02/18/2024] Open
Abstract
MOTIVATION Estimating the individual inbreeding coefficient and pairwise kinship is an important problem in human genetics (e.g. in disease mapping) and in animal and plant genetics (e.g. inbreeding design). Existing methods, such as sample correlation-based genetic relationship matrix, KING, and UKin, are either biased, or not able to estimate inbreeding coefficients, or produce a large proportion of negative estimates that are difficult to interpret. This limitation of existing methods is partly due to failure to explicitly model inbreeding. Since all humans are inbred to various degrees by virtue of shared ancestries, it is prudent to account for inbreeding when inferring kinship between individuals. RESULTS We present "Kindred," an approach that estimates inbreeding and kinship by modeling latent identity-by-descent states that accounts for all possible allele sharing-including inbreeding-between two individuals. Kindred used non-negative least squares method to fit the model, which not only increases computation efficiency compared to the maximum likelihood method, but also guarantees non-negativity of the kinship estimates. Through simulation, we demonstrate the high accuracy and non-negativity of kinship estimates by Kindred. By selecting a subset of SNPs that are similar in allele frequencies across different continental populations, Kindred can accurately estimate kinship between admixed samples. In addition, we demonstrate that the realized kinship matrix estimated by Kindred is effective in reducing genomic control values via linear mixed model in genome-wide association studies. Finally, we demonstrate that Kindred produces sensible heritability estimates on an Australian height dataset. AVAILABILITY AND IMPLEMENTATION Kindred is implemented in C with multi-threading. It takes vcf file or stream as input and works seamlessly with bcftools. Kindred is freely available at https://github.com/haplotype/kindred.
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Affiliation(s)
- Yongtao Guan
- Framingham Heart Study, Framingham, MA 01702, United States
- Population Sciences Branch, National Heart, Lung, and Blood Institute, Bethesda, DC 20892, United States
| | - Daniel Levy
- Framingham Heart Study, Framingham, MA 01702, United States
- Population Sciences Branch, National Heart, Lung, and Blood Institute, Bethesda, DC 20892, United States
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8
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Shah R, Zhong J, Massier L, Tanriverdi K, Hwang SJ, Haessler J, Nayor M, Zhao S, Perry AS, Wilkins JT, Shadyab AH, Manson JE, Martin L, Levy D, Kooperberg C, Freedman JE, Rydén M, Murthy VL. Targeted Proteomics Reveals Functional Targets for Early Diabetes Susceptibility in Young Adults. Circ Genom Precis Med 2024; 17:e004192. [PMID: 38323454 PMCID: PMC10940209 DOI: 10.1161/circgen.123.004192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 11/05/2023] [Indexed: 02/08/2024]
Abstract
BACKGROUND The circulating proteome may encode early pathways of diabetes susceptibility in young adults for surveillance and intervention. Here, we define proteomic correlates of tissue phenotypes and diabetes in young adults. METHODS We used penalized models and principal components analysis to generate parsimonious proteomic signatures of diabetes susceptibility based on phenotypes and on diabetes diagnosis across 184 proteins in >2000 young adults in the CARDIA (Coronary Artery Risk Development in Young Adults study; mean age, 32 years; 44% women; 43% Black; mean body mass index, 25.6±4.9 kg/m2), with validation against diabetes in >1800 individuals in the FHS (Framingham Heart Study) and WHI (Women's Health Initiative). RESULTS In 184 proteins in >2000 young adults in CARDIA, we identified 2 proteotypes of diabetes susceptibility-a proinflammatory fat proteotype (visceral fat, liver fat, inflammatory biomarkers) and a muscularity proteotype (muscle mass), linked to diabetes in CARDIA and WHI/FHS. These proteotypes specified broad mechanisms of early diabetes pathogenesis, including transorgan communication, hepatic and skeletal muscle stress responses, vascular inflammation and hemostasis, fibrosis, and renal injury. Using human adipose tissue single cell/nuclear RNA-seq, we demonstrate expression at transcriptional level for implicated proteins across adipocytes and nonadipocyte cell types (eg, fibroadipogenic precursors, immune and vascular cells). Using functional assays in human adipose tissue, we demonstrate the association of expression of genes encoding these implicated proteins with adipose tissue metabolism, inflammation, and insulin resistance. CONCLUSIONS A multifaceted discovery effort uniting proteomics, underlying clinical susceptibility phenotypes, and tissue expression patterns may uncover potentially novel functional biomarkers of early diabetes susceptibility in young adults for future mechanistic evaluation.
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Affiliation(s)
- Ravi Shah
- Vanderbilt Translational & Clinical Cardiovascular Research Center, Vanderbilt Univ, Nashville, TN
| | - Jiawei Zhong
- Dept of Medicine (H7), Karolinska Institutet, Stockholm, Sweden
| | - Lucas Massier
- Dept of Medicine (H7), Karolinska Institutet, Stockholm, Sweden
| | - Kahraman Tanriverdi
- Vanderbilt Translational & Clinical Cardiovascular Research Center, Vanderbilt Univ, Nashville, TN
| | - Shih-Jen Hwang
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | | | - Matthew Nayor
- Sections of Preventive Medicine & Epidemiology & Cardiovascular Medicine, Dept of Medicine, Dept of Epidemiology, Boston University Schools of Medicine & Public Health, Boston, MA & Framingham Heart Study, Framingham, MA
| | | | - Andrew S. Perry
- Vanderbilt Translational & Clinical Cardiovascular Research Center, Vanderbilt Univ, Nashville, TN
| | | | - Aladdin H. Shadyab
- Herbert Wertheim School of Public Health & Human Longevity Science, Univ of California, San Diego, La Jolla, CA
| | - JoAnn E. Manson
- Dept of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Lisa Martin
- George Washington Univ School of Medicine & Health Sciences
| | - Daniel Levy
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | | | - Jane E. Freedman
- Vanderbilt Translational & Clinical Cardiovascular Research Center, Vanderbilt Univ, Nashville, TN
| | - Mikael Rydén
- Dept of Medicine (H7), Karolinska Institutet, Stockholm, Sweden
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9
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Kuku KO, Oyetoro R, Hashemian M, Livinski AA, Shearer JJ, Joo J, Psaty BM, Levy D, Ganz P, Roger VL. Proteomics for heart failure risk stratification: a systematic review. BMC Med 2024; 22:34. [PMID: 38273315 PMCID: PMC10809595 DOI: 10.1186/s12916-024-03249-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 01/05/2024] [Indexed: 01/27/2024] Open
Abstract
BACKGROUND Heart failure (HF) is a complex clinical syndrome with persistently high mortality. High-throughput proteomic technologies offer new opportunities to improve HF risk stratification, but their contribution remains to be clearly defined. We aimed to systematically review prognostic studies using high-throughput proteomics to identify protein signatures associated with HF mortality. METHODS We searched four databases and two clinical trial registries for articles published from 2012 to 2023. HF proteomics studies measuring high numbers of proteins using aptamer or antibody-based affinity platforms on human plasma or serum with outcomes of all-cause or cardiovascular death were included. Two reviewers independently screened articles, extracted data, and assessed the risk of bias. A third reviewer resolved conflicts. We assessed the risk of bias using the Risk Of Bias In Non-randomized Studies-of Exposure tool. RESULTS Out of 5131 unique articles identified, nine articles were included in the review. The nine studies were observational; three used the aptamer platform, and six used the antibody platform. We found considerable heterogeneity across studies in measurement panels, HF definitions, ejection fraction categorization, follow-up duration, and outcome definitions, and a lack of risk estimates for most protein associations. Hence, we proceeded with a systematic review rather than a meta-analysis. In two comparable aptamer studies in patients with HF with reduced ejection fraction, 21 proteins were identified in common for the association with all-cause death. Among these, one protein, WAP four-disulfide core domain protein 2 was also reported in an antibody study on HFrEF and for the association with CV death. We proposed standardized reporting criteria to facilitate the interpretation of future studies. CONCLUSIONS In this systematic review of nine studies evaluating the association of proteomics with mortality in HF, we identified a limited number of proteins common across several studies. Heterogeneity across studies compromised drawing broad inferences, underscoring the importance of standardized approaches to reporting.
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Affiliation(s)
- Kayode O Kuku
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Rebecca Oyetoro
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Maryam Hashemian
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Alicia A Livinski
- Office of Research Services, Office of the Director, National Institutes of Health Library, National Institutes of Health, Bethesda, MD, USA
| | - Joseph J Shearer
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jungnam Joo
- Office of Biostatistics Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology and Health Systems and Population Health, University of Washington, Seattle, WA, USA
| | - Daniel Levy
- Laboratory for Cardiovascular Epidemiology and Genomics, Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Peter Ganz
- Zuckerberg San Francisco General Hospital, University of California, San Francisco, San Francisco, CA, USA
| | - Véronique L Roger
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
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10
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Sun X, Bulekova K, Yang J, Lai M, Pitsillides AN, Liu X, Zhang Y, Guo X, Yong Q, Raffield LM, Rotter JI, Rich SS, Abecasis G, Carson AP, Vasan RS, Bis JC, Psaty BM, Boerwinkle E, Fitzpatrick AL, Satizabal CL, Arking DE, Ding J, Levy D, Liu C. Association analysis of mitochondrial DNA heteroplasmic variants: methods and application. medRxiv 2024:2024.01.12.24301233. [PMID: 38260412 PMCID: PMC10802757 DOI: 10.1101/2024.01.12.24301233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
We rigorously assessed a comprehensive association testing framework for heteroplasmy, employing both simulated and real-world data. This framework employed a variant allele fraction (VAF) threshold and harnessed multiple gene-based tests for robust identification and association testing of heteroplasmy. Our simulation studies demonstrated that gene-based tests maintained an appropriate type I error rate at α=0.001. Notably, when 5% or more heteroplasmic variants within a target region were linked to an outcome, burden-extension tests (including the adaptive burden test, variable threshold burden test, and z-score weighting burden test) outperformed the sequence kernel association test (SKAT) and the original burden test. Applying this framework, we conducted association analyses on whole-blood derived heteroplasmy in 17,507 individuals of African and European ancestries (31% of African Ancestry, mean age of 62, with 58% women) with whole genome sequencing data. We performed both cohort- and ancestry-specific association analyses, followed by meta-analysis on both pooled samples and within each ancestry group. Our results suggest that mtDNA-encoded genes/regions are likely to exhibit varying rates in somatic aging, with the notably strong associations observed between heteroplasmy in the RNR1 and RNR2 genes (p<0.001) and advance aging by the Original Burden test. In contrast, SKAT identified significant associations (p<0.001) between diabetes and the aggregated effects of heteroplasmy in several protein-coding genes. Further research is warranted to validate these findings. In summary, our proposed statistical framework represents a valuable tool for facilitating association testing of heteroplasmy with disease traits in large human populations.
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Affiliation(s)
- Xianbang Sun
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA 02118, USA
| | - Katia Bulekova
- Research Computing Services, Boston University, Boston, MA 02215, USA
| | - Jian Yang
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA 02118, USA
| | - Meng Lai
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA 02118, USA
| | | | - Xue Liu
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA 02118, USA
| | - Yuankai Zhang
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA 02118, USA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Qian Yong
- Longitudinal Studies Section, Translational Gerontology Branch, NIA/NIH, Baltimore, MD 21224, USA
| | - Laura M. Raffield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Stephen S. Rich
- Department of Public Health Services, Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA
| | - Goncalo Abecasis
- TOPMed Informatics Research Center, University of Michigan, Ann Arbor, MI 48109, USA
| | - April P. Carson
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Ramachandran S. Vasan
- Sections of Preventive Medicine and Epidemiology, and Cardiovascular Medicine, Boston University School of Medicine, Boston, MA, 02118, USA
- Framingham Heart Study, NHLBI/NIH, Framingham, MA 01702, USA
| | - Joshua C. Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
- Departments of Epidemiology, and Health Services, University of Washington, Seattle, WA 98101, USA
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Annette L. Fitzpatrick
- Departments of Family Medicine, Epidemiology, and Global Health, University of Washington, Seattle, WA 98195, USA
| | - Claudia L. Satizabal
- Framingham Heart Study, NHLBI/NIH, Framingham, MA 01702, USA
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA
| | - Dan E. Arking
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, MD 21205, USA
| | - Jun Ding
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Daniel Levy
- Framingham Heart Study, NHLBI/NIH, Framingham, MA 01702, USA
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | | | - Chunyu Liu
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA 02118, USA
- Framingham Heart Study, NHLBI/NIH, Framingham, MA 01702, USA
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11
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Tang J, Xu H, Xin Z, Mei Q, Gao M, Yang T, Zhang X, Levy D, Liu CT. Identifying BMI-associated genes via a genome-wide multi-omics integrative approach using summary data. Hum Mol Genet 2024:ddad212. [PMID: 38215789 DOI: 10.1093/hmg/ddad212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 11/30/2023] [Accepted: 12/19/2023] [Indexed: 01/14/2024] Open
Abstract
OBJECTIVE This study aims to identify BMI-associated genes by integrating aggregated summary information from different omics data. METHODS We conducted a meta-analysis to leverage information from a genome-wide association study (n = 339 224), a transcriptome-wide association study (n = 5619), and an epigenome-wide association study (n = 3743). We prioritized the significant genes with a machine learning-based method, netWAS, which borrows information from adipose tissue-specific interaction networks. We also used the brain-specific network in netWAS to investigate genes potentially involved in brain-adipose interaction. RESULTS We identified 195 genes that were significantly associated with BMI through meta-analysis. The netWAS analysis narrowed down the list to 21 genes in adipose tissue. Among these 21 genes, six genes, including FUS, STX4, CCNT2, FUBP1, NDUFS3, and RAPSN, were not reported to be BMI-associated in PubMed or GWAS Catalog. We also identified 11 genes that were significantly associated with BMI in both adipose and whole brain tissues. CONCLUSION This study integrated three types of omics data and identified a group of genes that have not previously been reported to be associated with BMI. This strategy could provide new insights for future studies to identify molecular mechanisms contributing to BMI regulation.
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Affiliation(s)
- Jingxian Tang
- Department of Biostatistics, Boston University School of Public Health, 801 Massachusetts Ave, Boston, MA 02118, United States
| | - Hanfei Xu
- Department of Biostatistics, Boston University School of Public Health, 801 Massachusetts Ave, Boston, MA 02118, United States
| | - Zihao Xin
- Department of Biostatistics, Boston University School of Public Health, 801 Massachusetts Ave, Boston, MA 02118, United States
| | - Quanshun Mei
- Department of Biostatistics, Boston University School of Public Health, 801 Massachusetts Ave, Boston, MA 02118, United States
| | - Musong Gao
- Department of Biostatistics, Boston University School of Public Health, 801 Massachusetts Ave, Boston, MA 02118, United States
| | - Tiantian Yang
- Department of Biostatistics, Boston University School of Public Health, 801 Massachusetts Ave, Boston, MA 02118, United States
| | - Xiaoyu Zhang
- Department of Biostatistics, Boston University School of Public Health, 801 Massachusetts Ave, Boston, MA 02118, United States
| | - Daniel Levy
- Framingham Heart Study, National Heart, Lung, and Blood Institute's Framingham Heart Study, 73 Mt Wayte Ave, Framingham, MA, United States
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, 9000 Rockville Pike, Bethesda, MD, United States
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, 801 Massachusetts Ave, Boston, MA 02118, United States
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12
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Kim SJ, Miller B, Hartel NG, Ramirez R, Braniff RG, Leelaprachakul N, Huang A, Wang Y, Arpawong TE, Crimmins EM, Wang P, Sun X, Liu C, Levy D, Yen K, Petzinger GM, Graham NA, Jakowec MW, Cohen P. A naturally occurring variant of SHLP2 is a protective factor in Parkinson's disease. Mol Psychiatry 2024:10.1038/s41380-023-02344-0. [PMID: 38167865 DOI: 10.1038/s41380-023-02344-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Revised: 11/20/2023] [Accepted: 11/27/2023] [Indexed: 01/05/2024]
Abstract
Mitochondrial DNA single nucleotide polymorphisms (mtSNPs) have been associated with a reduced risk of developing Parkinson's disease (PD), yet the underlying mechanisms remain elusive. In this study, we investigate the functional role of a PD-associated mtSNP that impacts the mitochondrial-derived peptide (MDP) Small Humanin-like Peptide 2 (SHLP2). We identify m.2158 T > C, a mtSNP associated with reduced PD risk, within the small open reading frame encoding SHLP2. This mtSNP results in an alternative form of SHLP2 (lysine 4 replaced with arginine; K4R). Using targeted mass spectrometry, we detect specific tryptic fragments of SHLP2 in neuronal cells and demonstrate its binding to mitochondrial complex 1. Notably, we observe that the K4R variant, associated with reduced PD risk, exhibits increased stability compared to WT SHLP2. Additionally, both WT and K4R SHLP2 show enhanced protection against mitochondrial dysfunction in in vitro experiments and confer protection against a PD-inducing toxin, a mitochondrial complex 1 inhibitor, in a mouse model. This study sheds light on the functional consequences of the m.2158 T > C mtSNP on SHLP2 and provides insights into the potential mechanisms by which this mtSNP may reduce the risk of PD.
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Affiliation(s)
- Su-Jeong Kim
- The Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Brendan Miller
- The Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Nicolas G Hartel
- Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, CA, USA
| | - Ricardo Ramirez
- The Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Regina Gonzalez Braniff
- The Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Naphada Leelaprachakul
- The Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
- Environmental Toxicology Program, Chulabhorn Graduate Institute, Bangkok, 10210, Thailand
| | - Amy Huang
- The Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Yuzhu Wang
- The Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Thalida Em Arpawong
- The Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Eileen M Crimmins
- The Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Penglong Wang
- The Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Xianbang Sun
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Chunyu Liu
- The Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Boston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, USA
| | - Daniel Levy
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Boston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, USA
| | - Kelvin Yen
- The Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Giselle M Petzinger
- Department of Neurology, University of Southern California, Los Angeles, CA, USA
| | - Nicholas A Graham
- The Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
- Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, CA, USA
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Michael W Jakowec
- Department of Neurology, University of Southern California, Los Angeles, CA, USA
- Department of Biokinesiology and Physical Therapy, The George and MaryLou Boone Center for Parkinson's Disease Research, University of Southern California, Los Angeles, CA, USA
| | - Pinchas Cohen
- The Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA.
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13
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Kuku KO, Shearer JJ, Hashemian M, Oyetoro R, Park H, Dulek B, Bielinski SJ, Larson NB, Ganz P, Levy D, Psaty BM, Joo J, Roger VL. Development and Validation of a Protein Risk Score for Mortality in Heart Failure : A Community Cohort Study. Ann Intern Med 2024; 177:39-49. [PMID: 38163367 PMCID: PMC10958437 DOI: 10.7326/m23-2328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2024] Open
Abstract
BACKGROUND Heart failure (HF) is a complex clinical syndrome with high mortality. Current risk stratification approaches lack precision. High-throughput proteomics could improve risk prediction. Its use in clinical practice to guide the management of patients with HF depends on validation and evidence of clinical benefit. OBJECTIVE To develop and validate a protein risk score for mortality in patients with HF. DESIGN Community-based cohort. SETTING Southeast Minnesota. PARTICIPANTS Patients with HF enrolled between 2003 and 2012 and followed through 2021. MEASUREMENTS A total of 7289 plasma proteins in 1351 patients with HF were measured using the SomaScan Assay (SomaLogic). A protein risk score was derived using least absolute shrinkage and selection operator regression and temporal validation in patients enrolled between 2003 and 2007 (development cohort) and 2008 and 2012 (validation cohort). Multivariable Cox regression was used to examine the association between the protein risk score and mortality. The performance of the protein risk score to predict 5-year mortality risk was assessed using calibration plots, decision curves, and relative utility analyses and compared with a clinical model, including the Meta-Analysis Global Group in Chronic Heart Failure mortality risk score and N-terminal pro-B-type natriuretic peptide. RESULTS The development (n = 855; median age, 78 years; 50% women; 29% with ejection fraction <40%) and validation cohorts (n = 496; median age, 76 years; 45% women; 33% with ejection fraction <40%) were mostly similar. In the development cohort, 38 unique proteins were selected for the protein risk score. Independent of ejection fraction, the protein risk score demonstrated good calibration, reclassified mortality risk particularly at the extremes of the risk distribution, and showed greater clinical utility compared with the clinical model. LIMITATION Participants were predominantly of European ancestry, potentially limiting the generalizability of the findings to different patient populations. CONCLUSION Validation of the protein risk score demonstrated good calibration and evidence of predicted benefits to stratify the risk for death in HF superior to that of clinical methods. Further studies are needed to prospectively evaluate the score's performance in diverse populations and determine risk thresholds for interventions. PRIMARY FUNDING SOURCE Division of Intramural Research at the National Heart, Lung, and Blood Institute of the National Institutes of Health.
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Affiliation(s)
- Kayode O Kuku
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Joseph J. Shearer
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Maryam Hashemian
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Rebecca Oyetoro
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Hoyoung Park
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Brittany Dulek
- Integrated Data Science Section, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Suzette, J. Bielinski
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Nicholas B. Larson
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Peter Ganz
- Zuckerberg San Francisco General Hospital, University of California, San Francisco, San Francisco, CA, USA
| | - Daniel Levy
- Laboratory for Cardiovascular Epidemiology and Genomics, Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology and Health Systems and Population Health, University of Washington, Seattle, Washington, USA
| | - Jungnam Joo
- Office of Biostatistics Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Véronique L. Roger
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
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14
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Hrytsenko Y, Shea B, Elgart M, Kurniansyah N, Lyons G, Morrison AC, Carson AP, Haring B, Mitchel BD, Psaty BM, Jaeger BC, Gu CC, Kooperberg C, Levy D, Lloyd-Jones D, Choi E, Brody JA, Smith JA, Rotter JI, Moll M, Fornage M, Simon N, Castaldi P, Casanova R, Chung RH, Kaplan R, Loos RJ, Kardia SLR, Rich SS, Redline S, Kelly T, O’Connor T, Zhao W, Kim W, Guo X, Der Ida Chen Y, Sofer T. Machine learning models for blood pressure phenotypes combining multiple polygenic risk scores. medRxiv 2023:2023.12.13.23299909. [PMID: 38168328 PMCID: PMC10760279 DOI: 10.1101/2023.12.13.23299909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
We construct non-linear machine learning (ML) prediction models for systolic and diastolic blood pressure (SBP, DBP) using demographic and clinical variables and polygenic risk scores (PRSs). We developed a two-model ensemble, consisting of a baseline model, where prediction is based on demographic and clinical variables only, and a genetic model, where we also include PRSs. We evaluate the use of a linear versus a non-linear model at both the baseline and the genetic model levels and assess the improvement in performance when incorporating multiple PRSs. We report the ensemble model's performance as percentage variance explained (PVE) on a held-out test dataset. A non-linear baseline model improved the PVEs from 28.1% to 30.1% (SBP) and 14.3% to 17.4% (DBP) compared with a linear baseline model. Including seven PRSs in the genetic model computed based on the largest available GWAS of SBP/DBP improved the genetic model PVE from 4.8% to 5.1% (SBP) and 4.7% to 5% (DBP) compared to using a single PRS. Adding additional 14 PRSs computed based on two independent GWASs further increased the genetic model PVE to 6.3% (SBP) and 5.7% (DBP). PVE differed across self-reported race/ethnicity groups, with primarily all non-White groups benefitting from the inclusion of additional PRSs.
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Affiliation(s)
- Yana Hrytsenko
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
- CardioVascular Institute (CVI), Beth Israel Deaconess Medical Center, Boston, MA
| | - Benjamin Shea
- CardioVascular Institute (CVI), Beth Israel Deaconess Medical Center, Boston, MA
| | - Michael Elgart
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | | | - Genevieve Lyons
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Alanna C. Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - April P. Carson
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Bernhard Haring
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Medicine III, Saarland University, Homburg, Saarland, Germany
| | - Braxton D. Mitchel
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Bruce M. Psaty
- Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA
- Health Systems and Population Health, University of Washington, Seattle, WA, USA
| | - Byron C. Jaeger
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - C Charles Gu
- The Center for Biostatistics and Data Science, Washington University, St. Louis, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Daniel Levy
- The Population Sciences Branch of the National Heart, Lung and Blood Institute, Bethesda, MD, USA
- The Framingham Heart Study, Framingham, MA, USA
| | - Donald Lloyd-Jones
- Department of Preventive Medicine, Northwestern University, Chicago, IL, USA
| | - Eunhee Choi
- Columbia Hypertension Laboratory, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Jennifer A Brody
- Department of Medicine, University of Washington, Seattle, WA, USA
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Matthew Moll
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
- VA Boston Healthcare System, West Roxbury, MA, USA
| | - Myriam Fornage
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Noah Simon
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA
| | - Peter Castaldi
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Ramon Casanova
- Health Systems and Population Health, University of Washington, Seattle, WA, USA
| | - Ren-Hua Chung
- Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Taipei City, Taiwan
| | - Robert Kaplan
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Ruth J.F. Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty for Health and Medical Sciences, University of Copenhagen, Denmark, DK
| | - Sharon L. R. Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Susan Redline
- Department of Medicine, Harvard Medical School, Boston, MA
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA
| | - Tanika Kelly
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Timothy O’Connor
- Department of Medicine III, Saarland University, Homburg, Saarland, Germany
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Wonji Kim
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Yii Der Ida Chen
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | | | - Tamar Sofer
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
- CardioVascular Institute (CVI), Beth Israel Deaconess Medical Center, Boston, MA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA
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15
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Møller AL, Vasan RS, Levy D, Andersson C, Lin H. Integrated omics analysis of coronary artery calcifications and myocardial infarction: the Framingham Heart Study. Sci Rep 2023; 13:21581. [PMID: 38062110 PMCID: PMC10703905 DOI: 10.1038/s41598-023-48848-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 11/30/2023] [Indexed: 12/18/2023] Open
Abstract
Gene function can be described using various measures. We integrated association studies of three types of omics data to provide insights into the pathophysiology of subclinical coronary disease and myocardial infarction (MI). Using multivariable regression models, we associated: (1) single nucleotide polymorphism, (2) DNA methylation, and (3) gene expression with coronary artery calcification (CAC) scores and MI. Among 3106 participants of the Framingham Heart Study, 65 (2.1%) had prevalent MI and 60 (1.9%) had incident MI, median CAC value was 67.8 [IQR 10.8, 274.9], and 1403 (45.2%) had CAC scores > 0 (prevalent CAC). Prevalent CAC was associated with AHRR (linked to smoking) and EXOC3 (affecting platelet function and promoting hemostasis). CAC score was associated with VWA1 (extracellular matrix protein associated with cartilage structure in endomysium). For prevalent MI we identified FYTTD1 (down-regulated in familial hypercholesterolemia) and PINK1 (linked to cardiac tissue homeostasis and ischemia-reperfusion injury). Incident MI was associated with IRX3 (enhancing browning of white adipose tissue) and STXBP3 (controlling trafficking of glucose transporter type 4 to plasma). Using an integrative trans-omics approach, we identified both putatively novel and known candidate genes associated with CAC and MI. Replication of findings is warranted.
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Affiliation(s)
- Amalie Lykkemark Møller
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, MA, USA.
- Department of Cardiology, Nordsjællands Hospital, Hillerød, Denmark.
| | - Ramachandran S Vasan
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
- Boston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, USA
- University of Texas School of Public Health San Antonio, and Departments of Medicine and Population Health Sciences, University of Texas Health Science Center, San Antonio, TX, USA
| | - Daniel Levy
- Boston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, USA
- Population Sciences Branch, Division of Intramural Research, National Institutes of Health, Bethesda, MD, USA
| | - Charlotte Andersson
- Section of Cardiovascular Medicine, Department of Medicine, Boston Medical Center, Boston University School of Medicine, Boston, MA, USA
| | - Honghuang Lin
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
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16
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Keshawarz A, Joehanes R, Ma J, Lee GY, Costeira R, Tsai PC, Masachs OM, Bell JT, Wilson R, Thorand B, Winkelmann J, Peters A, Linseisen J, Waldenberger M, Lehtimäki T, Mishra PP, Kähönen M, Raitakari O, Helminen M, Wang CA, Melton PE, Huang RC, Pennell CE, O’Sullivan TA, Ochoa-Rosales C, Voortman T, van Meurs JB, Young KL, Graff M, Wang Y, Kiel DP, Smith CE, Jacques PF, Levy D. Dietary and supplemental intake of vitamins C and E is associated with altered DNA methylation in an epigenome-wide association study meta-analysis. Epigenetics 2023; 18:2211361. [PMID: 37233989 PMCID: PMC10228397 DOI: 10.1080/15592294.2023.2211361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 04/28/2023] [Indexed: 05/27/2023] Open
Abstract
BACKGROUND Dietary intake of antioxidants such as vitamins C and E protect against oxidative stress, and may also be associated with altered DNA methylation patterns. METHODS We meta-analysed epigenome-wide association study (EWAS) results from 11,866 participants across eight population-based cohorts to evaluate the association between self-reported dietary and supplemental intake of vitamins C and E with DNA methylation. EWAS were adjusted for age, sex, BMI, caloric intake, blood cell type proportion, smoking status, alcohol consumption, and technical covariates. Significant results of the meta-analysis were subsequently evaluated in gene set enrichment analysis (GSEA) and expression quantitative trait methylation (eQTM) analysis. RESULTS In meta-analysis, methylation at 4,656 CpG sites was significantly associated with vitamin C intake at FDR ≤ 0.05. The most significant CpG sites associated with vitamin C (at FDR ≤ 0.01) were enriched for pathways associated with systems development and cell signalling in GSEA, and were associated with downstream expression of genes enriched in the immune response in eQTM analysis. Furthermore, methylation at 160 CpG sites was significantly associated with vitamin E intake at FDR ≤ 0.05, but GSEA and eQTM analysis of the top most significant CpG sites associated with vitamin E did not identify significant enrichment of any biological pathways investigated. CONCLUSIONS We identified significant associations of many CpG sites with vitamin C and E intake, and our results suggest that vitamin C intake may be associated with systems development and the immune response.
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Affiliation(s)
| | - Roby Joehanes
- Framingham Heart Study, Framingham, Framingham, MA, USA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jiantao Ma
- Framingham Heart Study, Framingham, Framingham, MA, USA
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Gha Young Lee
- Framingham Heart Study, Framingham, Framingham, MA, USA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ricardo Costeira
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Pei-Chien Tsai
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
- Department of Biomedical Sciences, Chang Gung University, Taoyuan, Taiwan
- Genomic Medicine Research Core Laboratory, Chang Gung Memorial Hospital, Linkou, Taiwan
| | - Olatz M. Masachs
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Jordana T. Bell
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Rory Wilson
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, Ingolstädter Landstrasse 1, Neuherberg, Germany
| | - Barbara Thorand
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, München, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Juliane Winkelmann
- Institute of Neurogenomics, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Institute of Human Genetics, School of Medicine, Technical University of Munich, Munich, Germany
- Chair of Neurogenetics, School of Medicine, Technical University of Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, München, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Chair of Epidemiology, Medical Faculty, Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany
- German Center for Cardiovascular Research (DZHK), München Heart Alliance, Munich, Germany
| | - Jakob Linseisen
- Chair of Epidemiology, University Augsburg at University Hospital Augsburg, Augsburg, Germany
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, Ingolstädter Landstrasse 1, Neuherberg, Germany
- German Center for Cardiovascular Research (DZHK), München Heart Alliance, Munich, Germany
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
| | - Pashupati P. Mishra
- Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
| | - Mika Kähönen
- Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland
| | - Olli Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Mika Helminen
- Tays Research Services, Tampere University Hospital, Tampere, Finland
- Faculty of Social Sciences, Health Sciences, Tampere University, Tampere, Finland
| | - Carol A. Wang
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Newcastle, New South Wales, Australia
- Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Phillip E. Melton
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
- School of Population and Global Health, University of Western Australia, Perth, Australia
| | - Rae-Chi Huang
- Nutrition & Health Innovation Research Institute, Edith Cowan University, Perth, Australia
| | - Craig E. Pennell
- Faculty of Social Sciences, Health Sciences, Tampere University, Tampere, Finland
- Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | | | - Carolina Ochoa-Rosales
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
- Centro de Vida Saludable, Universidad de Concepción, Concepción, Chile
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Joyce B.J. van Meurs
- Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Kristin L. Young
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Hebrew Senior Life, Chapel Hill, North Carolina, USA
| | - Misa Graff
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Hebrew Senior Life, Chapel Hill, North Carolina, USA
| | - Yujie Wang
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Hebrew Senior Life, Chapel Hill, North Carolina, USA
| | - Douglas P. Kiel
- Department of Medicine, Beth Israel Deaconess Medical Center, Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Caren E. Smith
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Paul F. Jacques
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Daniel Levy
- Framingham Heart Study, Framingham, Framingham, MA, USA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
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17
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Gargula S, Tran A, Daval M, Levy D, Tuset MP, Ayache D. Carotid-Cochlear Apex Dehiscence: A Family Affair. Laryngoscope 2023. [PMID: 37975432 DOI: 10.1002/lary.31183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 10/11/2023] [Accepted: 11/02/2023] [Indexed: 11/19/2023]
Abstract
We report two cases of carotid-cochlea dehiscence involving the cochlear apex, with, to our knowledge, the first description of this anomaly in two members of a family (mother-daughter). Pure tone audiometry revealed a bilateral mild sensorineural hearing loss predominantly on the left in the daughter, and a left mild mixed hearing loss with a predominance of sensorineural loss in the medium frequencies in the mother Carotid-cochlear dehiscence is a rare anomaly with a multiform expression, which should be investigated in cases of third mobile window symptoms, but also atypical sensorineural hearing loss, or before any cochlear implantation. Laryngoscope, 2023.
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Affiliation(s)
- Stéphane Gargula
- Department of Otolaryngology, Hôpital Fondation Adolphe de Rothschild, Paris, France
| | - Alexia Tran
- Department of Radiology, Hôpital Fondation Adolphe de Rothschild, Paris, France
| | - Mary Daval
- Department of Otolaryngology, Hôpital Fondation Adolphe de Rothschild, Paris, France
| | - Daniel Levy
- Department of Otolaryngology, Hôpital Fondation Adolphe de Rothschild, Paris, France
| | - Maria-Pia Tuset
- Department of Otolaryngology, Hôpital Fondation Adolphe de Rothschild, Paris, France
| | - Denis Ayache
- Department of Otolaryngology, Hôpital Fondation Adolphe de Rothschild, Paris, France
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18
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Li Y, Wang M, Liu X, Rong J, Miller PE, Joehanes R, Huan T, Guo X, Rotter JI, Smith JA, Yu B, Nayor M, Levy D, Liu C, Ma J. Circulating metabolites may illustrate relationship of alcohol consumption with cardiovascular disease. BMC Med 2023; 21:443. [PMID: 37968697 PMCID: PMC10652547 DOI: 10.1186/s12916-023-03149-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Accepted: 10/31/2023] [Indexed: 11/17/2023] Open
Abstract
BACKGROUND Metabolite signatures of long-term alcohol consumption are lacking. To better understand the molecular basis linking alcohol drinking and cardiovascular disease (CVD), we investigated circulating metabolites associated with long-term alcohol consumption and examined whether these metabolites were associated with incident CVD. METHODS Cumulative average alcohol consumption (g/day) was derived from the total consumption of beer, wine, and liquor on average of 19 years in 2428 Framingham Heart Study Offspring participants (mean age 56 years, 52% women). We used linear mixed models to investigate the associations of alcohol consumption with 211 log-transformed plasma metabolites, adjusting for age, sex, batch, smoking, diet, physical activity, BMI, and familial relationship. Cox models were used to test the association of alcohol-related metabolite scores with fatal and nonfatal incident CVD (myocardial infarction, coronary heart disease, stroke, and heart failure). RESULTS We identified 60 metabolites associated with cumulative average alcohol consumption (p < 0.05/211 ≈ 0.00024). For example, 1 g/day increase of alcohol consumption was associated with higher levels of cholesteryl esters (e.g., CE 16:1, beta = 0.023 ± 0.002, p = 6.3e - 45) and phosphatidylcholine (e.g., PC 32:1, beta = 0.021 ± 0.002, p = 3.1e - 38). Survival analysis identified that 10 alcohol-associated metabolites were also associated with a differential CVD risk after adjusting for age, sex, and batch. Further, we built two alcohol consumption weighted metabolite scores using these 10 metabolites and showed that, with adjustment age, sex, batch, and common CVD risk factors, the two scores had comparable but opposite associations with incident CVD, hazard ratio 1.11 (95% CI = [1.02, 1.21], p = 0.02) vs 0.88 (95% CI = [0.78, 0.98], p = 0.02). CONCLUSIONS We identified 60 long-term alcohol consumption-associated metabolites. The association analysis with incident CVD suggests a complex metabolic basis between alcohol consumption and CVD.
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Affiliation(s)
- Yi Li
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, USA
| | - Mengyao Wang
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, USA
| | - Xue Liu
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, USA
| | - Jian Rong
- Department of Neurology, School of Medicine, Boston University, Chobanian & Avedisian, Boston, MA, USA
| | | | - Roby Joehanes
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Tianxiao Huan
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Bing Yu
- Department of Epidemiology, School of Public Health, Human Genetics, and Environmental Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Matthew Nayor
- Sections of Cardiovascular Medicine and Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Daniel Levy
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Chunyu Liu
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, USA.
| | - Jiantao Ma
- Nutrition Epidemiology and Data Science, Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.
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19
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Guirette M, Lan J, McKeown N, Brown MR, Chen H, DE Vries PS, Kim H, Rebholz CM, Morrison AC, Bartz TM, Fretts AM, Guo X, Lemaitre RN, Liu CT, Noordam R, DE Mutsert R, Rosendaal FR, Wang CA, Beilin L, Mori TA, Oddy WH, Pennell CE, Chai JF, Whitton C, VAN Dam RM, Liu J, Tai ES, Sim X, Neuhouser ML, Kooperberg C, Tinker L, Franceschini N, Huan T, Winkler TW, Bentley AR, Gauderman WJ, Heerkens L, Tanaka T, van Rooij J, Munroe PB, Warren HR, Voortman T, Chen H, Rao DC, Levy D, Ma J. Genome-Wide Interaction Analysis with DASH Diet Score Identified Novel Loci for Systolic Blood Pressure. medRxiv 2023:2023.11.10.23298402. [PMID: 37986948 PMCID: PMC10659476 DOI: 10.1101/2023.11.10.23298402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
Objective We examined interactions between genotype and a Dietary Approaches to Stop Hypertension (DASH) diet score in relation to systolic blood pressure (SBP). Methods We analyzed up to 9,420,585 biallelic imputed single nucleotide polymorphisms (SNPs) in up to 127,282 individuals of six population groups (91% of European population) from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium (CHARGE; n=35,660) and UK Biobank (n=91,622) and performed European population-specific and cross-population meta-analyses. Results We identified three loci in European-specific analyses and an additional four loci in cross-population analyses at P for interaction < 5e-8. We observed a consistent interaction between rs117878928 at 15q25.1 (minor allele frequency = 0.03) and the DASH diet score (P for interaction = 4e-8; P for heterogeneity = 0.35) in European population, where the interaction effect size was 0.42±0.09 mm Hg (P for interaction = 9.4e-7) and 0.20±0.06 mm Hg (P for interaction = 0.001) in CHARGE and the UK Biobank, respectively. The 1 Mb region surrounding rs117878928 was enriched with cis-expression quantitative trait loci (eQTL) variants (P = 4e-273) and cis-DNA methylation quantitative trait loci (mQTL) variants (P = 1e-300). While the closest gene for rs117878928 is MTHFS, the highest narrow sense heritability accounted by SNPs potentially interacting with the DASH diet score in this locus was for gene ST20 at 15q25.1. Conclusion We demonstrated gene-DASH diet score interaction effects on SBP in several loci. Studies with larger diverse populations are needed to validate our findings.
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Affiliation(s)
- Mélanie Guirette
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Jessie Lan
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Nicola McKeown
- Programs of Nutrition, Department of Health Sciences, Sargent College of Health & Rehabilitation Sciences, Boston University, Boston, MA, USA
| | - Michael R Brown
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Han Chen
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Paul S DE Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Hyunju Kim
- Cardiovascular Health Research Unit, Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Casey M Rebholz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Departments of Biostatistics and Medicine, University of Washington, Seattle, WA, USA
| | - Amanda M Fretts
- Cardiovascular Health Research Unit, Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Xiuqing Guo
- The Lundquist Institute at Harbor-UCLA, Torrance, CA, USA
| | - Rozenn N Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Ching-Ti Liu
- Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Raymond Noordam
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
| | - Renée DE Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Frits R Rosendaal
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Carol A Wang
- School of Medicine and Public Health, University of Newcastle, NSW, Australia
- Hunter Medical Research Institute, NSW, Australia
| | - Lawrence Beilin
- Medical School, Royal Perth Hospital Unit, University of Western Australia, Crawley, Western Australia, Australia
| | - Trevor A Mori
- Medical School, Royal Perth Hospital Unit, University of Western Australia, Crawley, Western Australia, Australia
| | - Wendy H Oddy
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia Saw Swee Hock, School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Craig E Pennell
- School of Medicine and Public Health, University of Newcastle, NSW, Australia
- Hunter Medical Research Institute, NSW, Australia
| | - Jin Fang Chai
- School of Population Health, Curtin University, Perth, Western Australia, Australia
| | - Clare Whitton
- School of Population Health, Curtin University, Perth, Western Australia, Australia
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore
| | - Rob M VAN Dam
- School of Population Health, Curtin University, Perth, Western Australia, Australia
| | - Jianjun Liu
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore
| | - E Shyong Tai
- School of Population Health, Curtin University, Perth, Western Australia, Australia
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Xueling Sim
- School of Population Health, Curtin University, Perth, Western Australia, Australia
| | - Marian L Neuhouser
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Lesley Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Nora Franceschini
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Tianxiao Huan
- Framingham Heart Study and Population Sciences Branch, NHLBI, Framingham, MA, USA
| | - Thomas W Winkler
- Department of Genetic Epidemiology, University of Regensburg; Regensburg, Germany
| | - Amy R Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - W James Gauderman
- Division of Biostatistics, Department of Population and Public Health Sciences, University of Southern California; CA, USA
| | - Luc Heerkens
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands
| | - Toshiko Tanaka
- Longitudinal Studies Section, National Institute on Aging, Baltimore, MD, USA
| | - Jeroen van Rooij
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Patricia B Munroe
- Centre of Clinical Pharmacology & Precision Medicine, William Harvey Research Institute, Barts and The London Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Helen R Warren
- Centre of Clinical Pharmacology & Precision Medicine, William Harvey Research Institute, Barts and The London Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Honglei Chen
- Department of Epidemiology and Biostatistics College of Human Medicine, Michigan State University, East Lansing, Michigan, USA
| | - D C Rao
- Center for Biostatistics and Data Science, Institute for Informatics, Data Science, and Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Daniel Levy
- Framingham Heart Study and Population Sciences Branch, NHLBI, Framingham, MA, USA
| | - Jiantao Ma
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
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20
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Shah RV, Hwang S, Murthy VL, Zhao S, Tanriverdi K, Gajjar P, Duarte K, Schoenike M, Farrell R, Brooks LC, Gopal DM, Ho JE, Girerd N, Vasan RS, Levy D, Freedman JE, Lewis GD, Nayor M. Proteomics and Precise Exercise Phenotypes in Heart Failure With Preserved Ejection Fraction: A Pilot Study. J Am Heart Assoc 2023; 12:e029980. [PMID: 37889181 PMCID: PMC10727424 DOI: 10.1161/jaha.122.029980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 07/06/2023] [Indexed: 10/28/2023]
Abstract
BACKGROUND While exercise impairments are central to symptoms and diagnosis of heart failure with preserved ejection fraction (HFpEF), prior studies of HFpEF biomarkers have mostly focused on resting phenotypes. We combined precise exercise phenotypes with cardiovascular proteomics to identify protein signatures of HFpEF exercise responses and new potential therapeutic targets. METHODS AND RESULTS We analyzed 277 proteins (Olink) in 151 individuals (N=103 HFpEF, 48 controls; 62±11 years; 56% women) with cardiopulmonary exercise testing with invasive monitoring. Using ridge regression adjusted for age/sex, we defined proteomic signatures of 5 physiological variables involved in HFpEF: peak oxygen uptake, peak cardiac output, pulmonary capillary wedge pressure/cardiac output slope, peak pulmonary vascular resistance, and peak peripheral O2 extraction. Multiprotein signatures of each of the exercise phenotypes captured a significant proportion of variance in respective exercise phenotypes. Interrogating the importance (ridge coefficient magnitude) of specific proteins in each signature highlighted proteins with putative links to HFpEF pathophysiology (eg, inflammatory, profibrotic proteins), and novel proteins linked to distinct physiologies (eg, proteins involved in multiorgan [kidney, liver, muscle, adipose] health) were implicated in impaired O2 extraction. In a separate sample (N=522, 261 HF events), proteomic signatures of peak oxygen uptake and pulmonary capillary wedge pressure/cardiac output slope were associated with incident HFpEF (odds ratios, 0.67 [95% CI, 0.50-0.90] and 1.43 [95% CI, 1.11-1.85], respectively) with adjustment for clinical factors and B-type natriuretic peptides. CONCLUSIONS The cardiovascular proteome is associated with precision exercise phenotypes in HFpEF, suggesting novel mechanistic targets and potential methods for risk stratification to prevent HFpEF early in its pathogenesis.
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Affiliation(s)
- Ravi V. Shah
- Vanderbilt Translational and Clinical Research Center, Cardiology DivisionVanderbilt University Medical CenterNashvilleTN
| | - Shih‐Jen Hwang
- Population Sciences Branch, Division of Intramural ResearchNational Heart, Lung, and Blood Institute, National Institutes of HealthBethesdaMD
| | - Venkatesh L. Murthy
- Departments of Medicine and RadiologyUniversity of Michigan Medical SchoolAnn ArborMI
| | - Shilin Zhao
- Vanderbilt Center for Quantitative SciencesVanderbilt University Medical CenterNashvilleTN
| | - Kahraman Tanriverdi
- Vanderbilt Translational and Clinical Research Center, Cardiology DivisionVanderbilt University Medical CenterNashvilleTN
| | - Priya Gajjar
- Cardiology Section, Department of MedicineBoston University School of MedicineBostonMA
| | - Kevin Duarte
- Université de Lorraine, Centre d’Investigations Cliniques Plurithématique 1433, INSERM 1116NancyFrance
| | - Mark Schoenike
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical SchoolBostonMA
| | - Robyn Farrell
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical SchoolBostonMA
| | - Liana C. Brooks
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical SchoolBostonMA
| | - Deepa M. Gopal
- Cardiology Section, Department of MedicineBoston University School of MedicineBostonMA
| | - Jennifer E. Ho
- CardioVascular Institute and Division of Cardiology, Department of Medicine, Beth Israel Deaconess Medical CenterBostonMA
| | - Nicholas Girerd
- Université de Lorraine, Centre d’Investigations Cliniques Plurithématique 1433, INSERM 1116NancyFrance
| | - Ramachandran S. Vasan
- University of Texas School of Public Health San Antonio, and Departments of Medicine and Population Health Sciences, University of Texas Health Science CenterSan AntonioTX
| | - Daniel Levy
- Population Sciences Branch, Division of Intramural ResearchNational Heart, Lung, and Blood Institute, National Institutes of HealthBethesdaMD
| | - Jane E. Freedman
- Vanderbilt Translational and Clinical Research Center, Cardiology DivisionVanderbilt University Medical CenterNashvilleTN
| | - Gregory D. Lewis
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical SchoolBostonMA
| | - Matthew Nayor
- Cardiology Section, Department of MedicineBoston University School of MedicineBostonMA
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21
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Sarnowski C, Huan T, Ma Y, Joehanes R, Beiser A, DeCarli CS, Heard-Costa NL, Levy D, Lin H, Liu CT, Liu C, Meigs JB, Satizabal CL, Florez JC, Hivert MF, Dupuis J, De Jager PL, Bennett DA, Seshadri S, Morrison AC. Multi-tissue epigenetic analysis identifies distinct associations underlying insulin resistance and Alzheimer's disease at CPT1A locus. Clin Epigenetics 2023; 15:173. [PMID: 37891690 PMCID: PMC10612362 DOI: 10.1186/s13148-023-01589-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 10/20/2023] [Indexed: 10/29/2023] Open
Abstract
BACKGROUND Insulin resistance (IR) is a major risk factor for Alzheimer's disease (AD) dementia. The mechanisms by which IR predisposes to AD are not well-understood. Epigenetic studies may help identify molecular signatures of IR associated with AD, thus improving our understanding of the biological and regulatory mechanisms linking IR and AD. METHODS We conducted an epigenome-wide association study of IR, quantified using the homeostatic model assessment of IR (HOMA-IR) and adjusted for body mass index, in 3,167 participants from the Framingham Heart Study (FHS) without type 2 diabetes at the time of blood draw used for methylation measurement. We identified DNA methylation markers associated with IR at the genome-wide level accounting for multiple testing (P < 1.1 × 10-7) and evaluated their association with neurological traits in participants from the FHS (N = 3040) and the Religious Orders Study/Memory and Aging Project (ROSMAP, N = 707). DNA methylation profiles were measured in blood (FHS) or dorsolateral prefrontal cortex (ROSMAP) using the Illumina HumanMethylation450 BeadChip. Linear regressions (ROSMAP) or mixed-effects models accounting for familial relatedness (FHS) adjusted for age, sex, cohort, self-reported race, batch, and cell type proportions were used to assess associations between DNA methylation and neurological traits accounting for multiple testing. RESULTS We confirmed the strong association of blood DNA methylation with IR at three loci (cg17901584-DHCR24, cg17058475-CPT1A, cg00574958-CPT1A, and cg06500161-ABCG1). In FHS, higher levels of blood DNA methylation at cg00574958 and cg17058475 were both associated with lower IR (P = 2.4 × 10-11 and P = 9.0 × 10-8), larger total brain volumes (P = 0.03 and P = 9.7 × 10-4), and smaller log lateral ventricular volumes (P = 0.07 and P = 0.03). In ROSMAP, higher levels of brain DNA methylation at the same two CPT1A markers were associated with greater risk of cognitive impairment (P = 0.005 and P = 0.02) and higher AD-related indices (CERAD score: P = 5 × 10-4 and 0.001; Braak stage: P = 0.004 and P = 0.01). CONCLUSIONS Our results suggest potentially distinct epigenetic regulatory mechanisms between peripheral blood and dorsolateral prefrontal cortex tissues underlying IR and AD at CPT1A locus.
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Affiliation(s)
- Chloé Sarnowski
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA.
| | - Tianxiao Huan
- Population Sciences Branch, National Heart, Lung and Blood Institutes of Health, Bethesda, MD, USA
| | - Yiyi Ma
- Center for Translational and Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
| | - Roby Joehanes
- Population Sciences Branch, National Heart, Lung and Blood Institutes of Health, Bethesda, MD, USA
- The Framingham Heart Study, Framingham, MA, USA
| | - Alexa Beiser
- The Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | | | - Nancy L Heard-Costa
- The Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, USA
| | - Daniel Levy
- Center for Translational and Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
- The Framingham Heart Study, Framingham, MA, USA
| | - Honghuang Lin
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Ching-Ti Liu
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, USA
| | - Chunyu Liu
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, USA
| | - James B Meigs
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Claudia L Satizabal
- The Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
- Department of Population Health Sciences, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Jose C Florez
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine and Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Harvard University, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Josée Dupuis
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, USA
- Department of Epidemiology, Biostatistics and Occupational Health, School of Population and Global Health, McGill University, Montreal, Canada
| | - Philip L De Jager
- Center for Translational and Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Sudha Seshadri
- The Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
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22
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Wang M, Li Y, Lai M, Nannini DR, Hou L, Joehanes R, Huan T, Levy D, Ma J, Liu C. Alcohol consumption and epigenetic age acceleration across human adulthood. Aging (Albany NY) 2023; 15:10938-10971. [PMID: 37889500 PMCID: PMC10637803 DOI: 10.18632/aging.205153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Accepted: 10/04/2023] [Indexed: 10/28/2023]
Abstract
The alcohol-associated biological aging remains to be studied across adulthood. We conducted linear regression analyses to investigate the associations between alcohol consumption and two DNA methylation-based biological age acceleration metrics in 3823 Framingham Heart Study participants (24-92 years and 53.8% women) adjusting for covariates. We also investigated whether the two epigenetic aging metrics mediated the association of alcohol consumption with hypertension. We found that higher long-term average alcohol consumption was significantly associated with biological age acceleration assessed by GrimAge acceleration (GAA) and PhenoAge acceleration (PAA) in middle-aged (45-64 years, n = 1866) and older (65-92 years, n = 1267) participants while not in young participants (24-44 years, n = 690). For example, one additional standard drink of alcohol (~14 grams of ethanol per day) was associated with a 0.71 ± 0.15-year (p = 2.1e-6) and 0.60 ± 0.18-year (p = 7.5e-4) increase in PAA in middle-aged and older participants, respectively, but the association was not significant in young participants (p = 0.23). One additional standard serving of liquor (~14 grams of ethanol) was associated with a greater increase in GAA (0.82-year, p = 4.8e-4) and PAA (1.45-year, p = 7.4e-5) than beer (GAA: 0.45-year, p = 5.2e-4; PAA: 0.48-year, p = 0.02) and wine (GAA: 0.51-year, p = 0.02; PAA: 0.91-year, p = 0.008) in middle-aged participant group. We observed that up to 28% of the association between alcohol consumption and hypertension was mediated by GAA or PAA in the pooled sample. Our findings suggest that alcohol consumption is associated with greater biological aging quantified by epigenetic aging metrics, which may mediate the association of alcohol consumption with quantitative traits, such as hypertension.
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Affiliation(s)
- Mengyao Wang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Yi Li
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Meng Lai
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Drew R. Nannini
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Roby Joehanes
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Tianxiao Huan
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Daniel Levy
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
- Framingham Heart Study, Framingham, MA 01702, USA
| | - Jiantao Ma
- Nutrition Epidemiology and Data Science, Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA 02111, USA
| | - Chunyu Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
- Framingham Heart Study, Framingham, MA 01702, USA
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23
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Pershad Y, Mack T, Poisner H, Jakubek YA, Stilp AM, Mitchell BD, Lewis JP, Boerwinkle E, Loos RJ, Chami N, Wang Z, Barnes K, Pankratz N, Fornage M, Redline S, Psaty BM, Bis JC, Shojaie A, Silverman EK, Cho MH, Yun J, DeMeo D, Levy D, Johnson A, Mathias R, Taub M, Arnett D, North K, Raffield LM, Carson A, Doyle MF, Rich SS, Rotter JI, Guo X, Cox N, Roden DM, Franceschini N, Desai P, Reiner A, Auer PL, Scheet P, Jaiswal S, Weinstock JS, Bick AG. Determinants of mosaic chromosomal alteration fitness. medRxiv 2023:2023.10.20.23297280. [PMID: 37905118 PMCID: PMC10615010 DOI: 10.1101/2023.10.20.23297280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Abstract
Clonal hematopoiesis (CH) is characterized by the acquisition of a somatic mutation in a hematopoietic stem cell that results in a clonal expansion. These driver mutations can be single nucleotide variants in cancer driver genes or larger structural rearrangements called mosaic chromosomal alterations (mCAs). The factors that influence the variations in mCA fitness and ultimately result in different clonal expansion rates are not well-understood. We used the Passenger-Approximated Clonal Expansion Rate (PACER) method to estimate clonal expansion rate for 6,381 individuals in the NHLBI TOPMed cohort with gain, loss, and copy-neutral loss of heterozygosity mCAs. Our estimates of mCA fitness were correlated (R 2 = 0.49) with an alternative approach that estimated fitness of mCAs in the UK Biobank using a theoretical probability distribution. Individuals with lymphoid-associated mCAs had a significantly higher white blood cell count and faster clonal expansion rate. In a cross-sectional analysis, genome-wide association study of estimates of mCA expansion rate identified TCL1A , NRIP1 , and TERT locus variants as modulators of mCA clonal expansion rate.
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24
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Liu X, Sun X, Zhang Y, Jiang W, Lai M, Wiggins KL, Raffield LM, Bielak LF, Zhao W, Pitsillides A, Haessler J, Zheng Y, Blackwell TW, Yao J, Guo X, Qian Y, Thyagarajan B, Pankratz N, Rich SS, Taylor KD, Peyser PA, Heckbert SR, Seshadri S, Boerwinkle E, Grove ML, Larson NB, Smith JA, Vasan RS, Fitzpatrick AL, Fornage M, Ding J, Carson AP, Abecasis G, Dupuis J, Reiner A, Kooperberg C, Hou L, Psaty BM, Wilson JG, Levy D, Rotter JI, Bis JC, Satizabal CL, Arking DE, Liu C. Association Between Whole Blood-Derived Mitochondrial DNA Copy Number, Low-Density Lipoprotein Cholesterol, and Cardiovascular Disease Risk. J Am Heart Assoc 2023; 12:e029090. [PMID: 37804200 PMCID: PMC10757530 DOI: 10.1161/jaha.122.029090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Accepted: 09/08/2023] [Indexed: 10/09/2023]
Abstract
Background The relationship between mitochondrial DNA copy number (mtDNA CN) and cardiovascular disease remains elusive. Methods and Results We performed cross-sectional and prospective association analyses of blood-derived mtDNA CN and cardiovascular disease outcomes in 27 316 participants in 8 cohorts of multiple racial and ethnic groups with whole-genome sequencing. We also performed Mendelian randomization to explore causal relationships of mtDNA CN with coronary heart disease (CHD) and cardiometabolic risk factors (obesity, diabetes, hypertension, and hyperlipidemia). P<0.01 was used for significance. We validated most of the previously reported associations between mtDNA CN and cardiovascular disease outcomes. For example, 1-SD unit lower level of mtDNA CN was associated with 1.08 (95% CI, 1.04-1.12; P<0.001) times the hazard for developing incident CHD, adjusting for covariates. Mendelian randomization analyses showed no causal effect from a lower level of mtDNA CN to a higher CHD risk (β=0.091; P=0.11) or in the reverse direction (β=-0.012; P=0.076). Additional bidirectional Mendelian randomization analyses revealed that low-density lipoprotein cholesterol had a causal effect on mtDNA CN (β=-0.084; P<0.001), but the reverse direction was not significant (P=0.059). No causal associations were observed between mtDNA CN and obesity, diabetes, and hypertension, in either direction. Multivariable Mendelian randomization analyses showed no causal effect of CHD on mtDNA CN, controlling for low-density lipoprotein cholesterol level (P=0.52), whereas there was a strong direct causal effect of higher low-density lipoprotein cholesterol on lower mtDNA CN, adjusting for CHD status (β=-0.092; P<0.001). Conclusions Our findings indicate that high low-density lipoprotein cholesterol may underlie the complex relationships between mtDNA CN and vascular atherosclerosis.
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Affiliation(s)
- Xue Liu
- Department of Biostatistics, School of Public HealthBoston UniversityBostonMAUSA
| | - Xianbang Sun
- Department of Biostatistics, School of Public HealthBoston UniversityBostonMAUSA
| | - Yuankai Zhang
- Department of Biostatistics, School of Public HealthBoston UniversityBostonMAUSA
| | - Wenqing Jiang
- Department of Biostatistics, School of Public HealthBoston UniversityBostonMAUSA
| | - Meng Lai
- Department of Biostatistics, School of Public HealthBoston UniversityBostonMAUSA
| | - Kerri L. Wiggins
- Cardiovascular Health Research Unit, Department of MedicineUniversity of WashingtonSeattleWAUSA
| | - Laura M. Raffield
- Department of GeneticsUniversity of North Carolina at Chapel HillChapel HillNCUSA
| | - Lawrence F. Bielak
- Department of Epidemiology, School of Public HealthUniversity of MichiganAnn ArborMIUSA
| | - Wei Zhao
- Department of Epidemiology, School of Public HealthUniversity of MichiganAnn ArborMIUSA
- Survey Research Center, Institute for Social ResearchUniversity of MichiganAnn ArborMIUSA
| | | | - Jeffrey Haessler
- Fred Hutchinson Cancer Center, Division of Public Health ScienceSeattleWAUSA
| | - Yinan Zheng
- Feinberg School of MedicineNorthwestern UniversityChicagoILUSA
| | | | - Jie Yao
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor‐UCLA Medical CenterTorranceCAUSA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor‐UCLA Medical CenterTorranceCAUSA
| | - Yong Qian
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of HealthBaltimoreMDUSA
| | - Bharat Thyagarajan
- Department of Laboratory Medicine and PathologyUniversity of MinnesotaMinneapolisMNUSA
| | - Nathan Pankratz
- Department of Computational PathologyUniversity of MinnesotaMinneapolisMNUSA
| | - Stephen S. Rich
- Center for Public Health GenomicsUniversity of VirginiaCharlottesvilleVAUSA
| | - Kent D. Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor‐UCLA Medical CenterTorranceCAUSA
| | - Patricia A. Peyser
- Department of Epidemiology, School of Public HealthUniversity of MichiganAnn ArborMIUSA
| | - Susan R. Heckbert
- Cardiovascular Health Research Unit and Department of EpidemiologyUniversity of WashingtonSeattleWAUSA
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative DiseasesUniversity of Texas Health Science Center at San AntonioSan AntonioTXUSA
- Framingham Heart Study, National Heart, Lung, and Blood InstituteFraminghamMAUSA
- Department of NeurologyBoston University School of MedicineBostonMAUSA
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental SciencesThe University of Texas Health Science Center at HoustonHoustonTXUSA
- Human Genome Sequencing Center, Baylor College of MedicineHoustonTXUSA
| | - Megan L. Grove
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental SciencesThe University of Texas Health Science Center at HoustonHoustonTXUSA
| | - Nicholas B. Larson
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic College of Medicine and ScienceRochesterMNUSA
| | - Jennifer A. Smith
- Department of Epidemiology, School of Public HealthUniversity of MichiganAnn ArborMIUSA
- Survey Research Center, Institute for Social ResearchUniversity of MichiganAnn ArborMIUSA
| | - Ramachandran S. Vasan
- Framingham Heart Study, National Heart, Lung, and Blood InstituteFraminghamMAUSA
- Sections of Preventive Medicine and Epidemiology, and Cardiovascular MedicineBoston University School of MedicineBostonMAUSA
| | - Annette L. Fitzpatrick
- Departments of Family Medicine, Epidemiology, and Global HealthUniversity of WashingtonSeattleWAUSA
| | - Myriam Fornage
- Center for Human GeneticsUniversity of Texas Health Science Center at HoustonHoustonTXUSA
| | - Jun Ding
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of HealthBaltimoreMDUSA
| | - April P. Carson
- Department of MedicineUniversity of Mississippi Medical CenterJacksonMSUSA
| | - Goncalo Abecasis
- TOPMed Informatics Research CenterUniversity of MichiganAnn ArborMIUSA
| | - Josée Dupuis
- Department of Biostatistics, School of Public HealthBoston UniversityBostonMAUSA
- Department of Epidemiology, Biostatistics and Occupational Health, School of Population and Global HealthMcGill University Faculty of Medicine and Health SciencesMontréalQuebecCanada
| | - Alexander Reiner
- Fred Hutchinson Cancer Center, Division of Public Health ScienceSeattleWAUSA
| | - Charles Kooperberg
- Fred Hutchinson Cancer Center, Division of Public Health ScienceSeattleWAUSA
| | - Lifang Hou
- Feinberg School of MedicineNorthwestern UniversityChicagoILUSA
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Department of MedicineUniversity of WashingtonSeattleWAUSA
- Departments of Epidemiology, and Health Systems and Population HealthUniversity of WashingtonSeattleWAUSA
| | - James G. Wilson
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical CenterBostonMAUSA
| | - Daniel Levy
- Framingham Heart Study, National Heart, Lung, and Blood InstituteFraminghamMAUSA
- Population Sciences BranchNational Heart, Lung, and Blood Institute, National Institutes of HealthMDBethesdaUSA
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor‐UCLA Medical CenterTorranceCAUSA
| | - Joshua C. Bis
- Cardiovascular Health Research Unit, Department of MedicineUniversity of WashingtonSeattleWAUSA
| | | | - Claudia L. Satizabal
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative DiseasesUniversity of Texas Health Science Center at San AntonioSan AntonioTXUSA
- Framingham Heart Study, National Heart, Lung, and Blood InstituteFraminghamMAUSA
- Department of NeurologyBoston University School of MedicineBostonMAUSA
| | - Dan E. Arking
- McKusick‐Nathans InstituteDepartment of Genetic MedicineJohns Hopkins University School of MedicineMDBaltimoreUSA
| | - Chunyu Liu
- Department of Biostatistics, School of Public HealthBoston UniversityBostonMAUSA
- Framingham Heart Study, National Heart, Lung, and Blood InstituteFraminghamMAUSA
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25
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Wang Y, Selvaraj MS, Li X, Li Z, Holdcraft JA, Arnett DK, Bis JC, Blangero J, Boerwinkle E, Bowden DW, Cade BE, Carlson JC, Carson AP, Chen YDI, Curran JE, de Vries PS, Dutcher SK, Ellinor PT, Floyd JS, Fornage M, Freedman BI, Gabriel S, Germer S, Gibbs RA, Guo X, He J, Heard-Costa N, Hildalgo B, Hou L, Irvin MR, Joehanes R, Kaplan RC, Kardia SL, Kelly TN, Kim R, Kooperberg C, Kral BG, Levy D, Li C, Liu C, Lloyd-Jone D, Loos RJ, Mahaney MC, Martin LW, Mathias RA, Minster RL, Mitchell BD, Montasser ME, Morrison AC, Murabito JM, Naseri T, O'Connell JR, Palmer ND, Preuss MH, Psaty BM, Raffield LM, Rao DC, Redline S, Reiner AP, Rich SS, Ruepena MS, Sheu WHH, Smith JA, Smith A, Tiwari HK, Tsai MY, Viaud-Martinez KA, Wang Z, Yanek LR, Zhao W, Rotter JI, Lin X, Natarajan P, Peloso GM. Rare variants in long non-coding RNAs are associated with blood lipid levels in the TOPMed whole-genome sequencing study. Am J Hum Genet 2023; 110:1704-1717. [PMID: 37802043 PMCID: PMC10577076 DOI: 10.1016/j.ajhg.2023.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 09/01/2023] [Accepted: 09/01/2023] [Indexed: 10/08/2023] Open
Abstract
Long non-coding RNAs (lncRNAs) are known to perform important regulatory functions in lipid metabolism. Large-scale whole-genome sequencing (WGS) studies and new statistical methods for variant set tests now provide an opportunity to assess more associations between rare variants in lncRNA genes and complex traits across the genome. In this study, we used high-coverage WGS from 66,329 participants of diverse ancestries with measurement of blood lipids and lipoproteins (LDL-C, HDL-C, TC, and TG) in the National Heart, Lung, and Blood Institute (NHLBI) Trans-Omics for Precision Medicine (TOPMed) program to investigate the role of lncRNAs in lipid variability. We aggregated rare variants for 165,375 lncRNA genes based on their genomic locations and conducted rare-variant aggregate association tests using the STAAR (variant-set test for association using annotation information) framework. We performed STAAR conditional analysis adjusting for common variants in known lipid GWAS loci and rare-coding variants in nearby protein-coding genes. Our analyses revealed 83 rare lncRNA variant sets significantly associated with blood lipid levels, all of which were located in known lipid GWAS loci (in a ±500-kb window of a Global Lipids Genetics Consortium index variant). Notably, 61 out of 83 signals (73%) were conditionally independent of common regulatory variation and rare protein-coding variation at the same loci. We replicated 34 out of 61 (56%) conditionally independent associations using the independent UK Biobank WGS data. Our results expand the genetic architecture of blood lipids to rare variants in lncRNAs.
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Affiliation(s)
- Yuxuan Wang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Margaret Sunitha Selvaraj
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Xihao Li
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Zilin Li
- School of Mathematics and Statistics, Northeast Normal University, Changchun, Jilin, China; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jacob A Holdcraft
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Donna K Arnett
- Provost Office, University of South Carolina, Columbia, SC, USA; Department of Epidemiology and Biostatistics, University of South Carolina Arnold School of Public Health, Columbia, SC, USA
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Donald W Bowden
- Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Brian E Cade
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Jenna C Carlson
- Department of Human Genetics, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA; Department of Biostatistics, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - April P Carson
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Yii-Der Ida Chen
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Joanne E Curran
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Paul S de Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Susan K Dutcher
- The McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Patrick T Ellinor
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA; Cardiovascular Disease Initiative, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - James S Floyd
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA; Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Myriam Fornage
- Center for Human Genetics, University of Texas Health at Houston, Houston, TX, USA
| | - Barry I Freedman
- Department of Internal Medicine, Nephrology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | | | | | - Richard A Gibbs
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA; Tulane University Translational Science Institute, New Orleans, LA, USA
| | - Nancy Heard-Costa
- Framingham Heart Study, Framingham, MA, USA; Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Bertha Hildalgo
- Department of Epidemiology, University of Alabama at Birmingham School of Public Health, Birmingham, AL, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University, Chicago, IL, USA
| | - Marguerite R Irvin
- Department of Epidemiology, University of Alabama at Birmingham School of Public Health, Birmingham, AL, USA
| | - Roby Joehanes
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Robert C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA; Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Sharon Lr Kardia
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Tanika N Kelly
- Department of Medicine, Division of Nephrology, University of Illinois Chicago, Chicago, IL, USA
| | - Ryan Kim
- Psomagen, Inc. (formerly Macrogen USA), Rockville, MD, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Brian G Kral
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Daniel Levy
- Framingham Heart Study, Framingham, MA, USA; Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Changwei Li
- Tulane University Translational Science Institute, New Orleans, LA, USA; Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Chunyu Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA; Framingham Heart Study, Framingham, MA, USA
| | - Don Lloyd-Jone
- Department of Preventive Medicine, Northwestern University, Chicago, IL, USA
| | - Ruth Jf Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA; NNF Center for Basic Metabolic Research, University of Copenhagen, Cophenhagen, Denmark
| | - Michael C Mahaney
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Lisa W Martin
- George Washington University School of Medicine and Health Sciences, Washington, DC, USA
| | - Rasika A Mathias
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ryan L Minster
- Department of Human Genetics, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Braxton D Mitchell
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - May E Montasser
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Joanne M Murabito
- Framingham Heart Study, Framingham, MA, USA; Department of Medicine, Boston Medical Center, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA
| | - Take Naseri
- Naseri & Associates Public Health Consultancy Firm and Family Health Clinic, Apia, Samoa; International Health Institute, School of Public Health, Brown University, Providence, RI, USA
| | - Jeffrey R O'Connell
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Michael H Preuss
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA; Department of Epidemiology, University of Washington, Seattle, WA, USA; Department of Health Systems and Population Health, University of Washington, Seattle, WA, USA
| | - Laura M Raffield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Dabeeru C Rao
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Susan Redline
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | | | - Wayne H-H Sheu
- Institute of Molecular and Genomic Medicine, National Health Research Institute (NHRI), Miaoli County, Taiwan
| | - Jennifer A Smith
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Albert Smith
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Hemant K Tiwari
- Department of Biostatistics, University of Alabama, Birmingham, AL, USA
| | - Michael Y Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | | | - Zhe Wang
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Lisa R Yanek
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Wei Zhao
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Xihong Lin
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Statistics, Harvard University, Cambridge, MA, USA
| | - Pradeep Natarajan
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Gina M Peloso
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
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26
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Levy D, Abadchi SN, Shababi N, Ravari MR, Pirolli NH, Bergeron C, Obiorah A, Mokhtari-Esbuie F, Gheshlaghi S, Abraham JM, Smith IM, Powsner EH, Solomon TJ, Harmon JW, Jay SM. Induced Pluripotent Stem Cell-Derived Extracellular Vesicles Promote Wound Repair in a Diabetic Mouse Model via an Anti-Inflammatory Immunomodulatory Mechanism. Adv Healthc Mater 2023; 12:e2300879. [PMID: 37335811 PMCID: PMC10592465 DOI: 10.1002/adhm.202300879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Revised: 06/07/2023] [Indexed: 06/21/2023]
Abstract
Extracellular vesicles (EVs) derived from mesenchymal stem/stromal cells (MSCs) have recently been explored in clinical trials for treatment of diseases with complex pathophysiologies. However, production of MSC EVs is currently hampered by donor-specific characteristics and limited ex vivo expansion capabilities before decreased potency, thus restricting their potential as a scalable and reproducible therapeutic. Induced pluripotent stem cells (iPSCs) represent a self-renewing source for obtaining differentiated iPSC-derived MSCs (iMSCs), circumventing both scalability and donor variability concerns for therapeutic EV production. Thus, it is initially sought to evaluate the therapeutic potential of iMSC EVs. Interestingly, while utilizing undifferentiated iPSC EVs as a control, it is found that their vascularization bioactivity is similar and their anti-inflammatory bioactivity is superior to donor-matched iMSC EVs in cell-based assays. To supplement this initial in vitro bioactivity screen, a diabetic wound healing mouse model where both the pro-vascularization and anti-inflammatory activity of these EVs would be beneficial is employed. In this in vivo model, iPSC EVs more effectively mediate inflammation resolution within the wound bed. Combined with the lack of additional differentiation steps required for iMSC generation, these results support the use of undifferentiated iPSCs as a source for therapeutic EV production with respect to both scalability and efficacy.
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Affiliation(s)
- Daniel Levy
- Fischell Department of Bioengineering, University of Maryland, College Park, MD 20742, USA
| | | | - Niloufar Shababi
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD 21224, USA
| | - Mohsen Rouhani Ravari
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD 21224, USA
| | - Nicholas H. Pirolli
- Fischell Department of Bioengineering, University of Maryland, College Park, MD 20742, USA
| | - Cade Bergeron
- Fischell Department of Bioengineering, University of Maryland, College Park, MD 20742, USA
| | - Angel Obiorah
- Fischell Department of Bioengineering, University of Maryland, College Park, MD 20742, USA
| | - Farzad Mokhtari-Esbuie
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD 21224, USA
| | - Shayan Gheshlaghi
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD 21224, USA
| | - John M. Abraham
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD 21224, USA
| | - Ian M. Smith
- Fischell Department of Bioengineering, University of Maryland, College Park, MD 20742, USA
| | - Emily H. Powsner
- Fischell Department of Bioengineering, University of Maryland, College Park, MD 20742, USA
| | - Talia J. Solomon
- Fischell Department of Bioengineering, University of Maryland, College Park, MD 20742, USA
| | - John W. Harmon
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD 21224, USA
| | - Steven M. Jay
- Fischell Department of Bioengineering, University of Maryland, College Park, MD 20742, USA
- Program in Molecular and Cell Biology, University of Maryland, College Park, MD 20742, USA
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27
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Domingo-Relloso A, Joehanes R, Rodriguez-Hernandez Z, Lahousse L, Haack K, Fallin MD, Herreros-Martinez M, Umans JG, Best LG, Huan T, Liu C, Ma J, Yao C, Jerolon A, Bermudez JD, Cole SA, Rhoades DA, Levy D, Navas-Acien A, Tellez-Plaza M. Smoking, blood DNA methylation sites and lung cancer risk. Environ Pollut 2023; 334:122153. [PMID: 37442331 PMCID: PMC10528956 DOI: 10.1016/j.envpol.2023.122153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 06/07/2023] [Accepted: 07/04/2023] [Indexed: 07/15/2023]
Abstract
Altered DNA methylation (DNAm) might be a biological intermediary in the pathway from smoking to lung cancer. In this study, we investigated the contribution of differential blood DNAm to explain the association between smoking and lung cancer incidence. Blood DNAm was measured in 2321 Strong Heart Study (SHS) participants. Incident lung cancer was assessed as time to event diagnoses. We conducted mediation analysis, including validation with DNAm and paired gene expression data from the Framingham Heart Study (FHS). In the SHS, current versus never smoking and pack-years single-mediator models showed, respectively, 29 and 21 differentially methylated positions (DMPs) for lung cancer with statistically significant mediated effects (14 of 20 available, and five of 14 available, positions, replicated, respectively, in FHS). In FHS, replicated DMPs showed gene expression downregulation largely in trans, and were related to biological pathways in cancer. The multimediator model identified that DMPs annotated to the genes AHRR and IER3 jointly explained a substantial proportion of lung cancer. Thus, the association of smoking with lung cancer was partly explained by differences in baseline blood DNAm at few relevant sites. Experimental studies are needed to confirm the biological role of identified eQTMs and to evaluate potential implications for early detection and control of lung cancer.
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Affiliation(s)
- Arce Domingo-Relloso
- Integrative Epidemiology Group, Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institute, Madrid, Spain; Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA; Department of Statistics and Operations Research, University of Valencia, Spain.
| | - Roby Joehanes
- Population Sciences Branch, National Heart, Lung, And Blood Institute, National Institutes of Health, Bethesda, MD, USA; Framingham Heart Study, Framingham, MA, USA
| | - Zulema Rodriguez-Hernandez
- Integrative Epidemiology Group, Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institute, Madrid, Spain
| | - Lies Lahousse
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Bioanalysis, Faculty of Pharmaceutical Sciences, Ghent University, Ghent, Belgium
| | - Karin Haack
- Population Health Program, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - M Daniele Fallin
- Department of Mental Health, Johns Hopkins University, Baltimore, USA; Department of Epidemiology, Johns Hopkins University, Baltimore, USA
| | | | - Jason G Umans
- MedStar Health Research Institute, Washington DC, USA; Georgetown-Howard Universities Center for Clinical and Translational Science, Washington DC, USA
| | - Lyle G Best
- Missouri Breaks Industries and Research Inc., Eagle Butte, SD, USA
| | - Tianxiao Huan
- Framingham Heart Study, Framingham, MA, USA; University of Massachusetts Medical School, Worcester, MA, USA
| | - Chunyu Liu
- Framingham Heart Study, Framingham, MA, USA; Boston University School of Public Health, Boston, MA, USA
| | - Jiantao Ma
- Framingham Heart Study, Framingham, MA, USA; Tufts University Friedman School of Nutrition Science and Policy, Boston, MA, USA
| | - Chen Yao
- Framingham Heart Study, Framingham, MA, USA; Bristol Myers Squibb, Cambridge, MA, USA
| | - Allan Jerolon
- Université Paris Cité, CNRS, MAP5, F-75006, Paris, France
| | - Jose D Bermudez
- Department of Statistics and Operations Research, University of Valencia, Spain
| | - Shelley A Cole
- Population Health Program, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Dorothy A Rhoades
- Stephenson Cancer Center, University of Oklahoma Health Sciences Department of Medicine, Oklahoma City, OK, USA
| | - Daniel Levy
- Population Sciences Branch, National Heart, Lung, And Blood Institute, National Institutes of Health, Bethesda, MD, USA; Framingham Heart Study, Framingham, MA, USA
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Maria Tellez-Plaza
- Integrative Epidemiology Group, Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institute, Madrid, Spain
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28
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Hong YS, Battle SL, Shi W, Puiu D, Pillalamarri V, Xie J, Pankratz N, Lake NJ, Lek M, Rotter JI, Rich SS, Kooperberg C, Reiner AP, Auer PL, Heard-Costa N, Liu C, Lai M, Murabito JM, Levy D, Grove ML, Alonso A, Gibbs R, Dugan-Perez S, Gondek LP, Guallar E, Arking DE. Deleterious heteroplasmic mitochondrial mutations are associated with an increased risk of overall and cancer-specific mortality. Nat Commun 2023; 14:6113. [PMID: 37777527 PMCID: PMC10542802 DOI: 10.1038/s41467-023-41785-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Accepted: 09/14/2023] [Indexed: 10/02/2023] Open
Abstract
Mitochondria carry their own circular genome and disruption of the mitochondrial genome is associated with various aging-related diseases. Unlike the nuclear genome, mitochondrial DNA (mtDNA) can be present at 1000 s to 10,000 s copies in somatic cells and variants may exist in a state of heteroplasmy, where only a fraction of the DNA molecules harbors a particular variant. We quantify mtDNA heteroplasmy in 194,871 participants in the UK Biobank and find that heteroplasmy is associated with a 1.5-fold increased risk of all-cause mortality. Additionally, we functionally characterize mtDNA single nucleotide variants (SNVs) using a constraint-based score, mitochondrial local constraint score sum (MSS) and find it associated with all-cause mortality, and with the prevalence and incidence of cancer and cancer-related mortality, particularly leukemia. These results indicate that mitochondria may have a functional role in certain cancers, and mitochondrial heteroplasmic SNVs may serve as a prognostic marker for cancer, especially for leukemia.
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Affiliation(s)
- Yun Soo Hong
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Stephanie L Battle
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Natural Sciences, College of Arts and Sciences, Bowie State University, Bowie, MD, USA
| | - Wen Shi
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Daniela Puiu
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Vamsee Pillalamarri
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jiaqi Xie
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Nathan Pankratz
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Nicole J Lake
- Department of Genetics, Yale School of Medicine, New Haven, CT, USA
- Murdoch Children's Research Institute, Royal Children's Hospital, Melbourne, VIC, Australia
| | - Monkol Lek
- Department of Genetics, Yale School of Medicine, New Haven, CT, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Stephen S Rich
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Alex P Reiner
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Paul L Auer
- Division of Biostatistics, Institute for Health & Equity, and Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Nancy Heard-Costa
- Departments of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Chunyu Liu
- Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, USA
| | - Meng Lai
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, USA
| | - Joanne M Murabito
- Section of General Internal Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Daniel Levy
- National Heart, Lung, and Blood Institute, NIH, Bethesda, MD, USA
| | - Megan L Grove
- Human Genetics Center; Department of Epidemiology, Human Genetics, and Environmental Sciences; School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Richard Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Shannon Dugan-Perez
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Lukasz P Gondek
- Division of Hematological Malignancies, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD, USA
| | - Eliseo Guallar
- Department of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Dan E Arking
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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29
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Yu Z, Fidler TP, Ruan Y, Vlasschaert C, Nakao T, Uddin MM, Mack T, Niroula A, Heimlich JB, Zekavat SM, Gibson CJ, Griffin GK, Wang Y, Peloso GM, Heard-Costa N, Levy D, Vasan RS, Aguet F, Ardlie KG, Taylor KD, Rich SS, Rotter JI, Libby P, Jaiswal S, Ebert BL, Bick AG, Tall AR, Natarajan P. Genetic modification of inflammation- and clonal hematopoiesis-associated cardiovascular risk. J Clin Invest 2023; 133:e168597. [PMID: 37498674 PMCID: PMC10503804 DOI: 10.1172/jci168597] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 07/25/2023] [Indexed: 07/29/2023] Open
Abstract
Clonal hematopoiesis of indeterminate potential (CHIP) is associated with an increased risk of cardiovascular diseases (CVDs), putatively via inflammasome activation. We pursued an inflammatory gene modifier scan for CHIP-associated CVD risk among 424,651 UK Biobank participants. We identified CHIP using whole-exome sequencing data of blood DNA and modeled as a composite, considering all driver genes together, as well as separately for common drivers (DNMT3A, TET2, ASXL1, and JAK2). We developed predicted gene expression scores for 26 inflammasome-related genes and assessed how they modify CHIP-associated CVD risk. We identified IL1RAP as a potential key molecule for CHIP-associated CVD risk across genes and increased AIM2 gene expression leading to heightened JAK2- and ASXL1-associated CVD risk. We show that CRISPR-induced Asxl1-mutated murine macrophages had a particularly heightened inflammatory response to AIM2 agonism, associated with an increased DNA damage response, as well as increased IL-10 secretion, mirroring a CVD-protective effect of IL10 expression in ASXL1 CHIP. Our study supports the role of inflammasomes in CHIP-associated CVD and provides evidence to support gene-specific strategies to address CHIP-associated CVD risk.
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Affiliation(s)
- Zhi Yu
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Trevor P. Fidler
- Division of Molecular Medicine, Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Yunfeng Ruan
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | | | - Tetsushi Nakao
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Md Mesbah Uddin
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Taralynn Mack
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Abhishek Niroula
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
- Department of Laboratory Medicine, Lund University, Lund, Sweden
| | - J. Brett Heimlich
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Seyedeh M. Zekavat
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Ophthalmology, Massachusetts Eye and Ear Institute, Boston, Massachusetts, USA
| | - Christopher J. Gibson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Gabriel K. Griffin
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Department of Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
- Department of Pathology, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Yuxuan Wang
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Gina M. Peloso
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Nancy Heard-Costa
- Department of Medicine, School of Medicine, Boston University, Boston, Massachusetts, USA
- Framingham Heart Study, Framingham, Massachusetts, USA
| | - Daniel Levy
- Framingham Heart Study, Framingham, Massachusetts, USA
- Division of Intramural Research, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, Maryland, USA
| | - Ramachandran S. Vasan
- Department of Medicine, School of Medicine, Boston University, Boston, Massachusetts, USA
- Framingham Heart Study, Framingham, Massachusetts, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA
| | - François Aguet
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | | | - Kent D. Taylor
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California, USA
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, USA
| | - Jerome I. Rotter
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California, USA
| | - Peter Libby
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Siddhartha Jaiswal
- Department of Pathology and Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Benjamin L. Ebert
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Alexander G. Bick
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Alan R. Tall
- Division of Molecular Medicine, Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Pradeep Natarajan
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA
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30
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Recto K, Kachroo P, Huan T, Van Den Berg D, Lee GY, Bui H, Lee DH, Gereige J, Yao C, Hwang SJ, Joehanes R, Weiss ST, O'Connor GT, Levy D, DeMeo DL. Epigenome-wide DNA methylation association study of circulating IgE levels identifies novel targets for asthma. EBioMedicine 2023; 95:104758. [PMID: 37598461 PMCID: PMC10462855 DOI: 10.1016/j.ebiom.2023.104758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 08/01/2023] [Accepted: 08/02/2023] [Indexed: 08/22/2023] Open
Abstract
BACKGROUND Identifying novel epigenetic signatures associated with serum immunoglobulin E (IgE) may improve our understanding of molecular mechanisms underlying asthma and IgE-mediated diseases. METHODS We performed an epigenome-wide association study using whole blood from Framingham Heart Study (FHS; n = 3,471, 46% females) participants and validated results using the Childhood Asthma Management Program (CAMP; n = 674, 39% females) and the Genetic Epidemiology of Asthma in Costa Rica Study (CRA; n = 787, 41% females). Using the closest gene to each IgE-associated CpG, we highlighted biologically plausible pathways underlying IgE regulation and analyzed the transcription patterns linked to IgE-associated CpGs (expression quantitative trait methylation loci; eQTMs). Using prior UK Biobank summary data from genome-wide association studies of asthma and allergy, we performed Mendelian randomization (MR) for causal inference testing using the IgE-associated CpGs from FHS with methylation quantitative trait loci (mQTLs) as instrumental variables. FINDINGS We identified 490 statistically significant differentially methylated CpGs associated with IgE in FHS, of which 193 (39.3%) replicated in CAMP and CRA (FDR < 0.05). Gene ontology analysis revealed enrichment in pathways related to transcription factor binding, asthma, and other immunological processes. eQTM analysis identified 124 cis-eQTMs for 106 expressed genes (FDR < 0.05). MR in combination with drug-target analysis revealed CTSB and USP20 as putatively causal regulators of IgE levels (Bonferroni adjusted P < 7.94E-04) that can be explored as potential therapeutic targets. INTERPRETATION By integrating eQTM and MR analyses in general and clinical asthma populations, our findings provide a deeper understanding of the multidimensional inter-relations of DNA methylation, gene expression, and IgE levels. FUNDING US NIH/NHLBI grants: P01HL132825, K99HL159234. N01-HC-25195 and HHSN268201500001I.
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Affiliation(s)
- Kathryn Recto
- The Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA; The Framingham Heart Study, Framingham, MA 01702, USA
| | - Priyadarshini Kachroo
- Brigham and Women's Hospital, Channing Division of Network Medicine, Boston, MA 02115, USA
| | - Tianxiao Huan
- The Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA; The Framingham Heart Study, Framingham, MA 01702, USA
| | - David Van Den Berg
- University of Southern California Methylation Characterization Center, University of Southern California, Los Angeles, CA 90033, USA
| | - Gha Young Lee
- The Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA; The Framingham Heart Study, Framingham, MA 01702, USA
| | - Helena Bui
- The Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA; The Framingham Heart Study, Framingham, MA 01702, USA
| | - Dong Heon Lee
- The Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA; The Framingham Heart Study, Framingham, MA 01702, USA
| | - Jessica Gereige
- Boston University School of Medicine, Pulmonary Center, Boston, MA 02118, USA
| | - Chen Yao
- The Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA; The Framingham Heart Study, Framingham, MA 01702, USA
| | - Shih-Jen Hwang
- The Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA; The Framingham Heart Study, Framingham, MA 01702, USA
| | - Roby Joehanes
- The Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA; The Framingham Heart Study, Framingham, MA 01702, USA
| | - Scott T Weiss
- Brigham and Women's Hospital, Channing Division of Network Medicine, Boston, MA 02115, USA
| | - George T O'Connor
- The Framingham Heart Study, Framingham, MA 01702, USA; Boston University School of Medicine, Pulmonary Center, Boston, MA 02118, USA
| | - Daniel Levy
- The Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA; The Framingham Heart Study, Framingham, MA 01702, USA.
| | - Dawn L DeMeo
- Brigham and Women's Hospital, Channing Division of Network Medicine, Boston, MA 02115, USA.
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31
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Ramirez MF, Honigberg M, Wang D, Parekh JK, Bielawski K, Courchesne P, Larson MD, Levy D, Murabito JM, Ho JE, Lau ES. Protein Biomarkers of Early Menopause and Incident Cardiovascular Disease. J Am Heart Assoc 2023; 12:e028849. [PMID: 37548169 PMCID: PMC10492938 DOI: 10.1161/jaha.122.028849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 06/20/2023] [Indexed: 08/08/2023]
Abstract
Background Premature and early menopause are independently associated with greater risk of cardiovascular disease (CVD). However, mechanisms linking age of menopause with CVD remain poorly characterized. Methods and Results We measured 71 circulating CVD protein biomarkers in 1565 postmenopausal women enrolled in the FHS (Framingham Heart Study). We examined the association of early menopause with biomarkers and tested whether early menopause modified the association of biomarkers with incident cardiovascular outcomes (heart failure, major CVD, and all-cause death) using multivariable-adjusted linear regression and Cox models, respectively. Among 1565 postmenopausal women included (mean age 62 years), 395 (25%) had a history of early menopause. Of 71 biomarkers examined, we identified 7 biomarkers that were significantly associated with early menopause, of which 5 were higher in women with early menopause including adrenomedullin and resistin, and 2 were higher in women without early menopause including insulin growth factor-1 and CNTN1 (contactin-1) (Benjamini-Hochberg adjusted P<0.1 for all). Early menopause also modified the association of specific biomarkers with incident cardiovascular outcomes including adrenomedullin (Pint<0.05). Conclusions Early menopause is associated with circulating levels of CVD protein biomarkers and appears to modify the association between select biomarkers with incident cardiovascular outcomes. Identified biomarkers reflect several distinct biological pathways, including inflammation, adiposity, and neurohormonal regulation. Further investigation of these pathways may provide mechanistic insights into the pathogenesis, prevention, and treatment of early menopause-associated CVD.
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Affiliation(s)
- Mariana F. Ramirez
- CardioVascular Institute and Division of Cardiology, Department of MedicineBeth Israel Deaconess Medical CenterBostonMAUSA
| | - Michael Honigberg
- Cardiovascular Research Center and Division of Cardiology, Department of MedicineMassachusetts General HospitalBostonMAUSA
| | - Dongyu Wang
- CardioVascular Institute and Division of Cardiology, Department of MedicineBeth Israel Deaconess Medical CenterBostonMAUSA
- Department of BiostatisticsBoston University School of Public HealthBostonMAUSA
| | - Juhi K. Parekh
- CardioVascular Institute and Division of Cardiology, Department of MedicineBeth Israel Deaconess Medical CenterBostonMAUSA
| | - Kamila Bielawski
- Cardiovascular Research Center and Division of Cardiology, Department of MedicineMassachusetts General HospitalBostonMAUSA
| | - Paul Courchesne
- Framingham Heart StudyFraminghamMAUSA
- Population Sciences Branch, Division of Intramural ResearchNational Heart, Lung, and Blood InstituteFraminghamMAUSA
| | | | - Daniel Levy
- Framingham Heart StudyFraminghamMAUSA
- Population Sciences Branch, Division of Intramural ResearchNational Heart, Lung, and Blood InstituteFraminghamMAUSA
| | - Joanne M. Murabito
- Framingham Heart StudyFraminghamMAUSA
- Department of Medicine, Section of General Internal MedicineBoston University School of Medicine and Boston Medical CenterBostonMAUSA
| | - Jennifer E. Ho
- CardioVascular Institute and Division of Cardiology, Department of MedicineBeth Israel Deaconess Medical CenterBostonMAUSA
| | - Emily S. Lau
- Cardiovascular Research Center and Division of Cardiology, Department of MedicineMassachusetts General HospitalBostonMAUSA
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32
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Keshawarz A, Bui H, Joehanes R, Ma J, Liu C, Huan T, Hwang SJ, Tejada B, Sooda M, Courchesne P, Munson PJ, Demirkale CY, Yao C, Heard-Costa NL, Pitsillides AN, Lin H, Liu CT, Wang Y, Peloso GM, Lundin J, Haessler J, Du Z, Cho M, Hersh CP, Castaldi P, Raffield LM, Wen J, Li Y, Reiner AP, Feolo M, Sharopova N, Vasan RS, DeMeo DL, Carson AP, Kooperberg C, Levy D. Expression quantitative trait methylation analysis elucidates gene regulatory effects of DNA methylation: the Framingham Heart Study. Sci Rep 2023; 13:12952. [PMID: 37563237 PMCID: PMC10415314 DOI: 10.1038/s41598-023-39936-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 08/02/2023] [Indexed: 08/12/2023] Open
Abstract
Expression quantitative trait methylation (eQTM) analysis identifies DNA CpG sites at which methylation is associated with gene expression. The present study describes an eQTM resource of CpG-transcript pairs derived from whole blood DNA methylation and RNA sequencing gene expression data in 2115 Framingham Heart Study participants. We identified 70,047 significant cis CpG-transcript pairs at p < 1E-7 where the top most significant eGenes (i.e., gene transcripts associated with a CpG) were enriched in biological pathways related to cell signaling, and for 1208 clinical traits (enrichment false discovery rate [FDR] ≤ 0.05). We also identified 246,667 significant trans CpG-transcript pairs at p < 1E-14 where the top most significant eGenes were enriched in biological pathways related to activation of the immune response, and for 1191 clinical traits (enrichment FDR ≤ 0.05). Independent and external replication of the top 1000 significant cis and trans CpG-transcript pairs was completed in the Women's Health Initiative and Jackson Heart Study cohorts. Using significant cis CpG-transcript pairs, we identified significant mediation of the association between CpG sites and cardiometabolic traits through gene expression and identified shared genetic regulation between CpGs and transcripts associated with cardiometabolic traits. In conclusion, we developed a robust and powerful resource of whole blood eQTM CpG-transcript pairs that can help inform future functional studies that seek to understand the molecular basis of disease.
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Affiliation(s)
- Amena Keshawarz
- Framingham Heart Study, Framingham, MA, USA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Helena Bui
- Framingham Heart Study, Framingham, MA, USA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Roby Joehanes
- Framingham Heart Study, Framingham, MA, USA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jiantao Ma
- Framingham Heart Study, Framingham, MA, USA
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Chunyu Liu
- Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Tianxiao Huan
- Framingham Heart Study, Framingham, MA, USA
- Department of Ophthalmology and Visual Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Shih-Jen Hwang
- Framingham Heart Study, Framingham, MA, USA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Brandon Tejada
- Framingham Heart Study, Framingham, MA, USA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Meera Sooda
- Framingham Heart Study, Framingham, MA, USA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Paul Courchesne
- Framingham Heart Study, Framingham, MA, USA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Peter J Munson
- Framingham Heart Study, Framingham, MA, USA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Cumhur Y Demirkale
- Mathematical and Statistical Computing Laboratory, Office of Intramural Research, Center for Information Technology, National Institutes of Health, Bethesda, MD, USA
| | - Chen Yao
- Framingham Heart Study, Framingham, MA, USA
| | - Nancy L Heard-Costa
- Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Achilleas N Pitsillides
- Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Honghuang Lin
- Framingham Heart Study, Framingham, MA, USA
- Division of Clinical Informatics, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Ching-Ti Liu
- Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Yuxuan Wang
- Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Gina M Peloso
- Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | | | | | - Zhaohui Du
- Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Michael Cho
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Craig P Hersh
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Peter Castaldi
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- General Medicine and Primary Care, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Laura M Raffield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jia Wen
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Yun Li
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Alexander P Reiner
- Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Mike Feolo
- National Center for Biotechnology Information, National Institutes of Health, Bethesda, MD, USA
| | - Nataliya Sharopova
- National Center for Biotechnology Information, National Institutes of Health, Bethesda, MD, USA
| | - Ramachandran S Vasan
- Framingham Heart Study, Framingham, MA, USA
- Department of Medicine, Preventive Medicine and Epidemiology, Boston University School of Medicine, Boston, MA, USA
| | - Dawn L DeMeo
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - April P Carson
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | | | - Daniel Levy
- Framingham Heart Study, Framingham, MA, USA.
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
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Dutta D, Pirolli NH, Levy D, Tsao J, Seecharan N, Wang Z, Xu X, Jia X, Jay SM. Differentiation state and culture conditions impact neural stem/progenitor cell-derived extracellular vesicle bioactivity. Biomater Sci 2023; 11:5474-5489. [PMID: 37367824 PMCID: PMC10529403 DOI: 10.1039/d3bm00340j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/28/2023]
Abstract
Extracellular vesicles (EVs) derived from neural progenitor/stem cells (NPSCs) have shown promising efficacy in a variety of preclinical models. However, NPSCs lack critical neuroregenerative functionality such as myelinating capacity. Further, culture conditions used in NPSC EV production lack standardization, limiting reproducibility challenging and potentially potency of the overall approach via lack of optimization. Here, we assessed whether oligodendrocyte precursor cells (OPCs) and immature oligodendrocytes (iOLs), which are further differentiated than NPSCs and which both give rise to mature myelinating oligodendrocytes, could yield EVs with neurotherapeutic properties comparable or superior to those from NPSCs. We additionally examined the effects of extracellular matrix (ECM) coating materials and the presence or absence of growth factors in cell culture on the ultimate properties of EVs. The data show that OPC EVs and iOL EVs performed similarly to NPSC EVs in cell proliferation and anti-inflammatory assays, but NPSC EVs performed better in a neurite outgrowth assay. Additionally, the presence of nerve growth factor (NGF) in culture was found to maximize NPSC EV bioactivity among the conditions tested. NPSC EVs produced under rationally-selected culture conditions (fibronectin + NGF) enhanced axonal regeneration and muscle reinnervation in a rat nerve crush injury model. These results highlight the need for standardization of culture conditions for neurotherapeutic NPSC EV production.
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Affiliation(s)
- Dipankar Dutta
- Fischell Department of Bioengineering, University of Maryland, College Park, MD, USA.
| | - Nicholas H Pirolli
- Fischell Department of Bioengineering, University of Maryland, College Park, MD, USA.
| | - Daniel Levy
- Fischell Department of Bioengineering, University of Maryland, College Park, MD, USA.
| | - Jeffrey Tsao
- Fischell Department of Bioengineering, University of Maryland, College Park, MD, USA.
| | - Nicholas Seecharan
- Fischell Department of Bioengineering, University of Maryland, College Park, MD, USA.
| | - Zihui Wang
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD, USA.
| | - Xiang Xu
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD, USA.
| | - Xiaofeng Jia
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD, USA.
- Department of Orthopaedics, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Steven M Jay
- Fischell Department of Bioengineering, University of Maryland, College Park, MD, USA.
- Program in Molecular and Cell Biology, University of Maryland, College Park, MD, USA
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34
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Kronstadt SM, Patel DB, Born LJ, Levy D, Lerman MJ, Mahadik B, McLoughlin ST, Fasuyi A, Fowlkes L, Van Heyningen LH, Aranda A, Abadchi SN, Chang KH, Hsu ATW, Bengali S, Harmon JW, Fisher JP, Jay SM. Mesenchymal Stem Cell Culture within Perfusion Bioreactors Incorporating 3D-Printed Scaffolds Enables Improved Extracellular Vesicle Yield with Preserved Bioactivity. Adv Healthc Mater 2023; 12:e2300584. [PMID: 36930747 PMCID: PMC10505252 DOI: 10.1002/adhm.202300584] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 03/13/2023] [Indexed: 03/19/2023]
Abstract
Extracellular vesicles (EVs) are implicated as promising therapeutics and drug delivery vehicles in various diseases. However, successful clinical translation will depend on the development of scalable biomanufacturing approaches, especially due to the documented low levels of intrinsic EV-associated cargo that may necessitate repeated doses to achieve clinical benefit in certain applications. Thus, here the effects of a 3D-printed scaffold-perfusion bioreactor system are assessed on the production and bioactivity of EVs secreted from bone marrow-derived mesenchymal stem cells (MSCs), a cell type widely implicated in generating EVs with therapeutic potential. The results indicate that perfusion bioreactor culture induces an ≈40-80-fold increase (depending on measurement method) in MSC EV production compared to conventional cell culture. Additionally, MSC EVs generated using the perfusion bioreactor system significantly improve wound healing in a diabetic mouse model, with increased CD31+ staining in wound bed tissue compared to animals treated with flask cell culture-generated MSC EVs. Overall, this study establishes a promising solution to a major EV translational bottleneck, with the capacity for tunability for specific applications and general improvement alongside advancements in 3D-printing technologies.
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Affiliation(s)
- Stephanie M Kronstadt
- Fischell Department of Bioengineering, University of Maryland, College Park, MD, 20742, USA
| | - Divya B Patel
- Fischell Department of Bioengineering, University of Maryland, College Park, MD, 20742, USA
| | - Louis J Born
- Fischell Department of Bioengineering, University of Maryland, College Park, MD, 20742, USA
| | - Daniel Levy
- Fischell Department of Bioengineering, University of Maryland, College Park, MD, 20742, USA
| | - Max J Lerman
- Fischell Department of Bioengineering, University of Maryland, College Park, MD, 20742, USA
| | - Bhushan Mahadik
- Fischell Department of Bioengineering, University of Maryland, College Park, MD, 20742, USA
| | - Shannon T McLoughlin
- Fischell Department of Bioengineering, University of Maryland, College Park, MD, 20742, USA
| | - Arafat Fasuyi
- Fischell Department of Bioengineering, University of Maryland, College Park, MD, 20742, USA
| | - Lauren Fowlkes
- Fischell Department of Bioengineering, University of Maryland, College Park, MD, 20742, USA
| | | | - Amaya Aranda
- Fischell Department of Bioengineering, University of Maryland, College Park, MD, 20742, USA
| | - Sanaz Nourmohammadi Abadchi
- Hendrix Burn and Wound Healing Laboratory, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, 21224, USA
| | - Kai-Hua Chang
- Hendrix Burn and Wound Healing Laboratory, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, 21224, USA
| | - Angela Ting Wei Hsu
- Hendrix Burn and Wound Healing Laboratory, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, 21224, USA
| | - Sameer Bengali
- Hendrix Burn and Wound Healing Laboratory, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, 21224, USA
| | - John W Harmon
- Hendrix Burn and Wound Healing Laboratory, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, 21224, USA
| | - John P Fisher
- Fischell Department of Bioengineering, University of Maryland, College Park, MD, 20742, USA
| | - Steven M Jay
- Program in Molecular and Cell Biology, University of Maryland, College Park, MD, 20742, USA
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Foroutan F, Rayner DG, Ross HJ, Ehler T, Srivastava A, Shin S, Malik A, Benipal H, Yu C, Alexander Lau TH, Lee JG, Rocha R, Austin PC, Levy D, Ho JE, McMurray JJV, Zannad F, Tomlinson G, Spertus JA, Lee DS. Global Comparison of Readmission Rates for Patients With Heart Failure. J Am Coll Cardiol 2023; 82:430-444. [PMID: 37495280 DOI: 10.1016/j.jacc.2023.05.040] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 05/09/2023] [Indexed: 07/28/2023]
Abstract
BACKGROUND Heart failure (HF) readmission rates are low in some jurisdictions. However, international comparisons are lacking and could serve as a foundation for identifying regional patient management strategies that could be shared to improve outcomes. OBJECTIVES This study sought to summarize 30-day and 1-year all-cause readmission and mortality rates of hospitalized HF patients across countries and to explore potential differences in rates globally. METHODS We performed a systematic review and meta-analysis using MEDLINE, Embase, and CENTRAL for observational reports on hospitalized adult HF patients at risk for readmission or mortality published between January 2010 and March 2021. We conducted a meta-analysis of proportions using a random-effects model, and sources of heterogeneity were evaluated with meta-regression. RESULTS In total, 24 papers reporting on 30-day and 23 papers on 1-year readmission were included. Of the 1.5 million individuals at risk, 13.2% (95% CI: 10.5%-16.1%) were readmitted within 30 days and 35.7% (95% CI: 27.1%-44.9%) within 1 year. A total of 33 papers reported on 30-day and 45 papers on 1-year mortality. Of the 1.5 million individuals hospitalized for HF, 7.6% (95% CI: 6.1%-9.3%) died within 30 days and 23.3% (95% CI: 20.8%-25.9%) died within 1 year. Substantial variation in risk across countries was unexplained by countries' gross domestic product, proportion of gross domestic product spent on health care, and Gini coefficient. CONCLUSIONS Globally, hospitalized HF patients exhibit high rates of readmission and mortality, and the variability in readmission rates was not explained by health care expenditure, risk of mortality, or comorbidities.
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Affiliation(s)
- Farid Foroutan
- Ted Rogers Centre for Heart Research, University Health Network, Toronto, Ontario, Canada
| | - Daniel G Rayner
- Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Heather J Ross
- Ted Rogers Centre for Heart Research, University Health Network, Toronto, Ontario, Canada; Peter Munk Cardiac Centre, Toronto, Ontario, Canada
| | - Tamara Ehler
- Ted Rogers Centre for Heart Research, University Health Network, Toronto, Ontario, Canada
| | - Ananya Srivastava
- Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Sheojung Shin
- Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Abdullah Malik
- Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Harsukh Benipal
- Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Clarissa Yu
- Faculty of Arts and Science, University of Toronto, Toronto, Ontario, Canada
| | | | - Joshua G Lee
- Faculty of Medical Sciences, Western University, London, Ontario, Canada
| | | | - Peter C Austin
- ICES (formerly Institute for Clinical Evaluative Sciences), Toronto, Ontario, Canada
| | - Daniel Levy
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Massachusetts, USA
| | - Jennifer E Ho
- Cardiovascular Institute and Division of Cardiology, Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
| | - John J V McMurray
- British Heart Foundation Cardiovascular Research Centre, University of Glasgow, Glasgow, United Kingdom
| | - Faiez Zannad
- Clinical Investigation Centre (Inserm-CHU) and Academic Hospital (CHU), Nancy, France
| | - George Tomlinson
- Biostatistics Research Unit, University Health Network, Toronto, Ontario, Canada
| | - John A Spertus
- St Luke's Mid-America Heart Institute, Kansas City, Missouri, USA
| | - Douglas S Lee
- Ted Rogers Centre for Heart Research, University Health Network, Toronto, Ontario, Canada; Peter Munk Cardiac Centre, Toronto, Ontario, Canada; ICES (formerly Institute for Clinical Evaluative Sciences), Toronto, Ontario, Canada.
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36
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Charisis S, Lin H, Ray R, Joehanes R, Beiser AS, Levy D, Seshadri S, Sargurupremraj M, Satizabal CL. Obesity impacts the expression of Alzheimer's disease-related genes: The Framingham Heart Study. Alzheimers Dement 2023; 19:3496-3505. [PMID: 36811231 PMCID: PMC10435662 DOI: 10.1002/alz.12954] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Revised: 12/01/2022] [Accepted: 12/12/2022] [Indexed: 02/24/2023]
Abstract
INTRODUCTION We investigated associations of obesity with the expression of Alzheimer's disease (AD)-related genes in a large community-based cohort. METHODS The sample consisted of 5619 participants from the Framingham Heart Study. Obesity metrics included body mass index (BMI) and waist-to-hip ratio (WHR). Gene expression was measured for a set of 74 AD-related genes, derived by integrating genome-wide association study results with functional genomics data. RESULTS Obesity metrics were associated with the expression of 21 AD-related genes. The strongest associations were observed with CLU, CD2AP, KLC3, and FCER1G. Unique associations were noted with TSPAN14, SLC24A4 for BMI, and ZSCAN21, BCKDK for WHR. After adjustment for cardiovascular risk factors, 13 associations remained significant for BMI and 8 for WHR. Dichotomous obesity metrics exhibited unique associations with EPHX2 for BMI, and with TSPAN14 for WHR. DISCUSSION Obesity was associated with AD-related gene expression; these findings shed light on the molecular pathways linking obesity to AD.
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Affiliation(s)
- Sokratis Charisis
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, USA
| | - Honghuang Lin
- Boston University School of Medicine, Department of Neurology, Boston, MA, USA
- The Framingham Heart Study, Framingham, MA, USA
- University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Roshni Ray
- Long School of Medicine, UT Health San Antonio, San Antonio, TX, USA
| | - Roby Joehanes
- The Framingham Heart Study, Framingham, MA, USA
- Population Sciences Branch, National Heart, Lung and Blood Institutes of Health, Bethesda, MD, USA
| | - Alexa S Beiser
- Boston University School of Medicine, Department of Neurology, Boston, MA, USA
- The Framingham Heart Study, Framingham, MA, USA
- Boston University School of Public Health, Department of Biostatistics, Boston, MA, USA
| | - Daniel Levy
- The Framingham Heart Study, Framingham, MA, USA
- Population Sciences Branch, National Heart, Lung and Blood Institutes of Health, Bethesda, MD, USA
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, USA
- Boston University School of Medicine, Department of Neurology, Boston, MA, USA
- The Framingham Heart Study, Framingham, MA, USA
| | - Muralidharan Sargurupremraj
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, USA
| | - Claudia L Satizabal
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, USA
- Boston University School of Medicine, Department of Neurology, Boston, MA, USA
- The Framingham Heart Study, Framingham, MA, USA
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Smitherman EA, Chahine RA, Beukelman T, Lewandowski LB, Rahman AKMF, Wenderfer SE, Curtis JR, Hersh AO, Abulaban K, Adams A, Adams M, Agbayani R, Aiello J, Akoghlanian S, Alejandro C, Allenspach E, Alperin R, Alpizar M, Amarilyo G, Ambler W, Anderson E, Ardoin S, Armendariz S, Baker E, Balboni I, Balevic S, Ballenger L, Ballinger S, Balmuri N, Barbar‐Smiley F, Barillas‐Arias L, Basiaga M, Baszis K, Becker M, Bell‐Brunson H, Beltz E, Benham H, Benseler S, Bernal W, Beukelman T, Bigley T, Binstadt B, Black C, Blakley M, Bohnsack J, Boland J, Boneparth A, Bowman S, Bracaglia C, Brooks E, Brothers M, Brown A, Brunner H, Buckley M, Buckley M, Bukulmez H, Bullock D, Cameron B, Canna S, Cannon L, Carper P, Cartwright V, Cassidy E, Cerracchio L, Chalom E, Chang J, Chang‐Hoftman A, Chauhan V, Chira P, Chinn T, Chundru K, Clairman H, Co D, Confair A, Conlon H, Connor R, Cooper A, Cooper J, Cooper S, Correll C, Corvalan R, Costanzo D, Cron R, Curiel‐Duran L, Curington T, Curry M, Dalrymple A, Davis A, Davis C, Davis C, Davis T, De Benedetti F, De Ranieri D, Dean J, Dedeoglu F, DeGuzman M, Delnay N, Dempsey V, DeSantis E, Dickson T, Dingle J, Donaldson B, Dorsey E, Dover S, Dowling J, Drew J, Driest K, Du Q, Duarte K, Durkee D, Duverger E, Dvergsten J, Eberhard A, Eckert M, Ede K, Edelheit B, Edens C, Edens C, Edgerly Y, Elder M, Ervin B, Fadrhonc S, Failing C, Fair D, Falcon M, Favier L, Federici S, Feldman B, Fennell J, Ferguson I, Ferguson P, Ferreira B, Ferrucho R, Fields K, Finkel T, Fitzgerald M, Fleming C, Flynn O, Fogel L, Fox E, Fox M, Franco L, Freeman M, Fritz K, Froese S, Fuhlbrigge R, Fuller J, George N, Gerhold K, Gerstbacher D, Gilbert M, Gillispie‐Taylor M, Giverc E, Godiwala C, Goh I, Goheer H, Goldsmith D, Gotschlich E, Gotte A, Gottlieb B, Gracia C, Graham T, Grevich S, Griffin T, Griswold J, Grom A, Guevara M, Guittar P, Guzman M, Hager M, Hahn T, Halyabar O, Hammelev E, Hance M, Hanson A, Harel L, Haro S, Harris J, Harry O, Hartigan E, Hausmann J, Hay A, Hayward K, Heiart J, Hekl K, Henderson L, Henrickson M, Hersh A, Hickey K, Hill P, Hillyer S, Hiraki L, Hiskey M, Hobday P, Hoffart C, Holland M, Hollander M, Hong S, Horwitz M, Hsu J, Huber A, Huggins J, Hui‐Yuen J, Hung C, Huntington J, Huttenlocher A, Ibarra M, Imundo L, Inman C, Insalaco A, Jackson A, Jackson S, James K, Janow G, Jaquith J, Jared S, Johnson N, Jones J, Jones J, Jones J, Jones K, Jones S, Joshi S, Jung L, Justice C, Justiniano A, Karan N, Kaufman K, Kemp A, Kessler E, Khalsa U, Kienzle B, Kim S, Kimura Y, Kingsbury D, Kitcharoensakkul M, Klausmeier T, Klein K, Klein‐Gitelman M, Kompelien B, Kosikowski A, Kovalick L, Kracker J, Kramer S, Kremer C, Lai J, Lam J, Lang B, Lapidus S, Lapin B, Lasky A, Latham D, Lawson E, Laxer R, Lee P, Lee P, Lee T, Lentini L, Lerman M, Levy D, Li S, Lieberman S, Lim L, Lin C, Ling N, Lingis M, Lo M, Lovell D, Lowman D, Luca N, Lvovich S, Madison C, Madison J, Manzoni SM, Malla B, Maller J, Malloy M, Mannion M, Manos C, Marques L, Martyniuk A, Mason T, Mathus S, McAllister L, McCarthy K, McConnell K, McCormick E, McCurdy D, Stokes PM, McGuire S, McHale I, McMonagle A, McMullen‐Jackson C, Meidan E, Mellins E, Mendoza E, Mercado R, Merritt A, Michalowski L, Miettunen P, Miller M, Milojevic D, Mirizio E, Misajon E, Mitchell M, Modica R, Mohan S, Moore K, Moorthy L, Morgan S, Dewitt EM, Moss C, Moussa T, Mruk V, Murphy A, Muscal E, Nadler R, Nahal B, Nanda K, Nasah N, Nassi L, Nativ S, Natter M, Neely J, Nelson B, Newhall L, Ng L, Nicholas J, Nicolai R, Nigrovic P, Nocton J, Nolan B, Oberle E, Obispo B, O'Brien B, O'Brien T, Okeke O, Oliver M, Olson J, O'Neil K, Onel K, Orandi A, Orlando M, Osei‐Onomah S, Oz R, Pagano E, Paller A, Pan N, Panupattanapong S, Pardeo M, Paredes J, Parsons A, Patel J, Pentakota K, Pepmueller P, Pfeiffer T, Phillippi K, Marafon DP, Phillippi K, Ponder L, Pooni R, Prahalad S, Pratt S, Protopapas S, Puplava B, Quach J, Quinlan‐Waters M, Rabinovich C, Radhakrishna S, Rafko J, Raisian J, Rakestraw A, Ramirez C, Ramsay E, Ramsey S, Randell R, Reed A, Reed A, Reed A, Reid H, Remmel K, Repp A, Reyes A, Richmond A, Riebschleger M, Ringold S, Riordan M, Riskalla M, Ritter M, Rivas‐Chacon R, Robinson A, Rodela E, Rodriquez M, Rojas K, Ronis T, Rosenkranz M, Rosolowski B, Rothermel H, Rothman D, Roth‐Wojcicki E, Rouster – Stevens K, Rubinstein T, Ruth N, Saad N, Sabbagh S, Sacco E, Sadun R, Sandborg C, Sanni A, Santiago L, Sarkissian A, Savani S, Scalzi L, Schanberg L, Scharnhorst S, Schikler K, Schlefman A, Schmeling H, Schmidt K, Schmitt E, Schneider R, Schollaert‐Fitch K, Schulert G, Seay T, Seper C, Shalen J, Sheets R, Shelly A, Shenoi S, Shergill K, Shirley J, Shishov M, Shivers C, Silverman E, Singer N, Sivaraman V, Sletten J, Smith A, Smith C, Smith J, Smith J, Smitherman E, Soep J, Son M, Spence S, Spiegel L, Spitznagle J, Sran R, Srinivasalu H, Stapp H, Steigerwald K, Rakovchik YS, Stern S, Stevens A, Stevens B, Stevenson R, Stewart K, Stingl C, Stokes J, Stoll M, Stringer E, Sule S, Sumner J, Sundel R, Sutter M, Syed R, Syverson G, Szymanski A, Taber S, Tal R, Tambralli A, Taneja A, Tanner T, Tapani S, Tarshish G, Tarvin S, Tate L, Taxter A, Taylor J, Terry M, Tesher M, Thatayatikom A, Thomas B, Tiffany K, Ting T, Tipp A, Toib D, Torok K, Toruner C, Tory H, Toth M, Tse S, Tubwell V, Twilt M, Uriguen S, Valcarcel T, Van Mater H, Vannoy L, Varghese C, Vasquez N, Vazzana K, Vehe R, Veiga K, Velez J, Verbsky J, Vilar G, Volpe N, von Scheven E, Vora S, Wagner J, Wagner‐Weiner L, Wahezi D, Waite H, Walker J, Walters H, Muskardin TW, Waqar L, Waterfield M, Watson M, Watts A, Weiser P, Weiss J, Weiss P, Wershba E, White A, Williams C, Wise A, Woo J, Woolnough L, Wright T, Wu E, Yalcindag A, Yee M, Yen E, Yeung R, Yomogida K, Yu Q, Zapata R, Zartoshti A, Zeft A, Zeft R, Zhang Y, Zhao Y, Zhu A, Zic C. Childhood-Onset Lupus Nephritis in the Childhood Arthritis and Rheumatology Research Alliance Registry: Short-Term Kidney Status and Variation in Care. Arthritis Care Res (Hoboken) 2023; 75:1553-1562. [PMID: 36775844 PMCID: PMC10500561 DOI: 10.1002/acr.25002] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 07/14/2022] [Accepted: 08/16/2022] [Indexed: 11/10/2022]
Abstract
OBJECTIVE The goal was to characterize short-term kidney status and describe variation in early care utilization in a multicenter cohort of patients with childhood-onset systemic lupus erythematosus (cSLE) and nephritis. METHODS We analyzed previously collected prospective data from North American patients with cSLE with kidney biopsy-proven nephritis enrolled in the Childhood Arthritis and Rheumatology Research Alliance (CARRA) Registry from March 2017 through December 2019. We determined the proportion of patients with abnormal kidney status at the most recent registry visit and applied generalized linear mixed models to identify associated factors. We also calculated frequency of medication use, both during induction and ever recorded. RESULTS We identified 222 patients with kidney biopsy-proven nephritis, with 64% class III/IV nephritis on initial biopsy. At the most recent registry visit at median (interquartile range) of 17 (8-29) months from initial kidney biopsy, 58 of 106 patients (55%) with available data had abnormal kidney status. This finding was associated with male sex (odds ratio [OR] 3.88, 95% confidence interval [95% CI] 1.21-12.46) and age at cSLE diagnosis (OR 1.23, 95% CI 1.01-1.49). Patients with class IV nephritis were more likely than class III to receive cyclophosphamide and rituximab during induction. There was substantial variation in mycophenolate, cyclophosphamide, and rituximab ever use patterns across rheumatology centers. CONCLUSION In this cohort with predominately class III/IV nephritis, male sex and older age at cSLE diagnosis were associated with abnormal short-term kidney status. We also observed substantial variation in contemporary medication use for pediatric lupus nephritis between pediatric rheumatology centers. Additional studies are needed to better understand the impact of this variation on long-term kidney outcomes.
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Sarma AA, Paniagua SM, Lau ES, Wang D, Liu EE, Larson MG, Hamburg NM, Mitchell GF, Kizer J, Psaty BM, Allen NB, Lely AT, Gansevoort RT, Rosenberg E, Mukamal K, Benjamin EJ, Vasan RS, Cheng S, Levy D, Boer RADE, Gottdiener JS, Shah SJ, Ho JE. Multiple Prior Live Births Are Associated With Cardiac Remodeling and Heart Failure Risk in Women. J Card Fail 2023; 29:1032-1042. [PMID: 36638956 PMCID: PMC10333450 DOI: 10.1016/j.cardfail.2022.12.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 12/15/2022] [Accepted: 12/15/2022] [Indexed: 01/12/2023]
Abstract
OBJECTIVE Greater parity has been associated with cardiovascular disease risk. We sought to find whether the effects on cardiac remodeling and heart failure risk are clear. METHODS We examined the association of number of live births with echocardiographic measures of cardiac structure and function in participants of the Framingham Heart Study (FHS) using multivariable linear regression. We next examined the association of parity with incident heart failure with preserved (HFpEF) or reduced (HFrEF) ejection fraction using a Fine-Gray subdistribution hazards model in a pooled analysis of n = 12,635 participants in the FHS, the Cardiovascular Health Study, the Multi-Ethnic Study of Atherosclerosis, and Prevention of Renal and Vascular Endstage Disease. Secondary analyses included major cardiovascular disease, myocardia infarction and stroke. RESULTS Among n = 3931 FHS participants (mean age 48 ± 13 years), higher numbers of live births were associated with worse left ventricular fractional shortening (multivariable β -1.11 (0.31); P = 0.0005 in ≥ 5 live births vs nulliparous women) and worse cardiac mechanics, including global circumferential strain and longitudinal and radial dyssynchrony (P < 0.01 for all comparing ≥ 5 live births vs nulliparity). When examining HF subtypes, women with ≥ 5 live births were at higher risk of developing future HFrEF compared with nulliparous women (HR 1.93, 95% CI 1.19-3.12; P = 0.008); by contrast, a lower risk of HFpEF was observed (HR 0.58, 95% CI 0.37-0.91; P = 0.02). CONCLUSIONS Greater numbers of live births are associated with worse cardiac structure and function. There was no association with overall HF, but a higher number of live births was associated with greater risk for incident HFrEF.
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Affiliation(s)
- Amy A Sarma
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Samantha M Paniagua
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Emily S Lau
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Dongyu Wang
- CardioVascular Institute and Division of Cardiology, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Elizabeth E Liu
- CardioVascular Institute and Division of Cardiology, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Martin G Larson
- National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA, USA
| | - Naomi M Hamburg
- Department of Medicine, Sections of Cardiology and Vascular Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Gary F Mitchell
- Department of Research, Cardiovascular Engineering, Norwood, MA, USA
| | - Jorge Kizer
- Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology and Health Services, University of Washington, Seattle, WA, USA; Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Norrina B Allen
- Department of Epidemiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - A Titia Lely
- Department of Obstetrics and Gynaecology, University Medical Center Groningen, University of Groningen, The Netherlands
| | - Ronald T Gansevoort
- Division of Nephrology, Department of Medicine, University Medical Center Groningen, The Netherlands
| | - Emily Rosenberg
- Division of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Boston, MA, USA
| | | | - Emelia J Benjamin
- National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA, USA; Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA; Cardiovascular Medicine Section, Department of Medicine and Section of Preventive Medicine and Epidemiology, Boston University School of Medicine, Boston, MA, USA
| | - Ramachandran S Vasan
- National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA, USA; Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA; Cardiovascular Medicine Section, Department of Medicine and Section of Preventive Medicine and Epidemiology, Boston University School of Medicine, Boston, MA, USA; Boston University Center for Computing and Data Sciences, Boston, MA, USA
| | - Susan Cheng
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Daniel Levy
- National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA, USA
| | - Rudolf A DE Boer
- Department of Cardiology, University of Groningen, University Medical Center Groningen, The Netherlands
| | | | - Sanjiv J Shah
- Division of Cardiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Jennifer E Ho
- CardioVascular Institute and Division of Cardiology, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
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Wong WJ, Emdin C, Bick AG, Zekavat SM, Niroula A, Pirruccello JP, Dichtel L, Griffin G, Uddin MM, Gibson CJ, Kovalcik V, Lin AE, McConkey ME, Vromman A, Sellar RS, Kim PG, Agrawal M, Weinstock J, Long MT, Yu B, Banerjee R, Nicholls RC, Dennis A, Kelly M, Loh PR, McCarroll S, Boerwinkle E, Vasan RS, Jaiswal S, Johnson AD, Chung RT, Corey K, Levy D, Ballantyne C, Ebert BL, Natarajan P. Author Correction: Clonal haematopoiesis and risk of chronic liver disease. Nature 2023; 619:E47. [PMID: 37400552 DOI: 10.1038/s41586-023-06375-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/05/2023]
Affiliation(s)
- Waihay J Wong
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Connor Emdin
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Alexander G Bick
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Seyedeh M Zekavat
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
- Yale University School of Medicine, New Haven, CT, USA
- Department of Ophthalmology, Harvard Medical School, Boston, MA, USA
| | - Abhishek Niroula
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
- Department of Laboratory Medicine, Lund University, Lund, Sweden
| | - James P Pirruccello
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Division of Cardiology, University of California San Francisco, San Francisco, CA, USA
| | - Laura Dichtel
- Neuroendocrine Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Gabriel Griffin
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
- Department of Pathology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Md Mesbah Uddin
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Christopher J Gibson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Veronica Kovalcik
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Amy E Lin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Marie E McConkey
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Amelie Vromman
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Rob S Sellar
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Haematology, UCL Cancer Institute, London, UK
| | - Peter G Kim
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Mridul Agrawal
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Joshua Weinstock
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Michelle T Long
- Section of Gastroenterology, Boston Medical Center, Boston University School of Medicine, Boston, MA, USA
| | - Bing Yu
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | | | | | | | | | - Po-Ru Loh
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Steve McCarroll
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Ramachandran S Vasan
- The University of Texas School of Public Health San Antonio, San Antonio, TX, USA
- Framingham Heart Study of the NHLBI and Boston University School of Medicine, Framingham, MA, USA
- The University of Texas Health Science Center, San Antonio, TX, USA
| | - Siddhartha Jaiswal
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Andrew D Johnson
- Population Sciences Branch, National Heart, Lung, and Blood Institute, Framingham, MA, USA
| | - Raymond T Chung
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Liver Center, Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Kathleen Corey
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Liver Center, Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Daniel Levy
- Framingham Heart Study of the NHLBI and Boston University School of Medicine, Framingham, MA, USA
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Christie Ballantyne
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Benjamin L Ebert
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, USA.
- Howard Hughes Medical Institute, Dana-Farber Cancer Institute, Boston, MA, USA.
| | - Pradeep Natarajan
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA.
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, USA.
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Wang Y, Selvaraj MS, Li X, Li Z, Holdcraft JA, Arnett DK, Bis JC, Blangero J, Boerwinkle E, Bowden DW, Cade BE, Carlson JC, Carson AP, Chen YDI, Curran JE, de Vries PS, Dutcher SK, Ellinor PT, Floyd JS, Fornage M, Freedman BI, Gabriel S, Germer S, Gibbs RA, Guo X, He J, Heard-Costa N, Hildalgo B, Hou L, Irvin MR, Joehanes R, Kaplan RC, Kardia SLR, Kelly TN, Kim R, Kooperberg C, Kral BG, Levy D, Li C, Liu C, Lloyd-Jone D, Loos RJF, Mahaney MC, Martin LW, Mathias RA, Minster RL, Mitchell BD, Montasser ME, Morrison AC, Murabito JM, Naseri T, O’Connell JR, Palmer ND, Preuss MH, Psaty BM, Raffield LM, Rao DC, Redline S, Reiner AP, Rich SS, Ruepena MS, Sheu WHH, Smith JA, Smith A, Tiwari HK, Tsai MY, Viaud-Martinez KA, Wang Z, Yanek LR, Zhao W, Rotter JI, Lin X, Natarajan P, Peloso GM. Rare variants in long non-coding RNAs are associated with blood lipid levels in the TOPMed Whole Genome Sequencing Study. medRxiv 2023:2023.06.28.23291966. [PMID: 37425772 PMCID: PMC10327287 DOI: 10.1101/2023.06.28.23291966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
Long non-coding RNAs (lncRNAs) are known to perform important regulatory functions. Large-scale whole genome sequencing (WGS) studies and new statistical methods for variant set tests now provide an opportunity to assess the associations between rare variants in lncRNA genes and complex traits across the genome. In this study, we used high-coverage WGS from 66,329 participants of diverse ancestries with blood lipid levels (LDL-C, HDL-C, TC, and TG) in the National Heart, Lung, and Blood Institute (NHLBI) Trans-Omics for Precision Medicine (TOPMed) program to investigate the role of lncRNAs in lipid variability. We aggregated rare variants for 165,375 lncRNA genes based on their genomic locations and conducted rare variant aggregate association tests using the STAAR (variant-Set Test for Association using Annotation infoRmation) framework. We performed STAAR conditional analysis adjusting for common variants in known lipid GWAS loci and rare coding variants in nearby protein coding genes. Our analyses revealed 83 rare lncRNA variant sets significantly associated with blood lipid levels, all of which were located in known lipid GWAS loci (in a ±500 kb window of a Global Lipids Genetics Consortium index variant). Notably, 61 out of 83 signals (73%) were conditionally independent of common regulatory variations and rare protein coding variations at the same loci. We replicated 34 out of 61 (56%) conditionally independent associations using the independent UK Biobank WGS data. Our results expand the genetic architecture of blood lipids to rare variants in lncRNA, implicating new therapeutic opportunities.
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Affiliation(s)
- Yuxuan Wang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Margaret Sunitha Selvaraj
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Xihao Li
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Zilin Li
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN, USA
- Center for Computational Biology & Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Jacob A. Holdcraft
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Donna K. Arnett
- Provost Office, University of South Carolina, Columbia, SC, USA
- Department of Epidemiology and Biostatistics, University of South Carolina Arnold School of Public Health, Columbia, SC, USA
| | - Joshua C. Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Donald W. Bowden
- Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Brian E. Cade
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Jenna C. Carlson
- Department of Human Genetics, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Biostatistics, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - April P. Carson
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Yii-Der Ida Chen
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Joanne E. Curran
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Paul S. de Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Susan K. Dutcher
- The McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Patrick T. Ellinor
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Cardiovascular Disease Initiative, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - James S. Floyd
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Myriam Fornage
- Center for Human Genetics, University of Texas Health at Houston, Houston, TX, USA
| | - Barry I. Freedman
- Department of Internal Medicine, Nephrology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | | | | | - Richard A. Gibbs
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
- Tulane University Translational Science Institute, New Orleans, LA, USA
| | - Nancy Heard-Costa
- Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Bertha Hildalgo
- Department of Epidemiology, University of Alabama at Birmingham School of Public Health, Birmingham, AL, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University, Chicago, IL, USA
| | - Marguerite R. Irvin
- Department of Epidemiology, University of Alabama at Birmingham School of Public Health, Birmingham, AL, USA
| | - Roby Joehanes
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Robert C. Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Sharon LR. Kardia
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Tanika N. Kelly
- Department of Medicine, Division of Nephrology, University of Illinois Chicago, Chicago, IL, USA
| | - Ryan Kim
- Psomagen, Inc. (formerly Macrogen USA), Rockville, MD, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Brian G. Kral
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Daniel Levy
- Framingham Heart Study, Framingham, MA, USA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Changwei Li
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
- Tulane University Translational Science Institute, New Orleans, LA, USA
| | - Chunyu Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Don Lloyd-Jone
- Department of Preventive Medicine, Northwestern University, Chicago, IL, USA
| | - Ruth JF. Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- NNF Center for Basic Metabolic Research, University of Copenhagen, Cophenhagen, Denmark
| | - Michael C. Mahaney
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Lisa W. Martin
- George Washington University School of Medicine and Health Sciences, Washington, DC, USA
| | - Rasika A. Mathias
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ryan L. Minster
- Department of Human Genetics and Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Braxton D. Mitchell
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - May E. Montasser
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Alanna C. Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Joanne M. Murabito
- Framingham Heart Study, Framingham, MA, USA
- Department of Medicine, Boston Medical Center, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA
| | | | - Jeffrey R. O’Connell
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Nicholette D. Palmer
- Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Michael H. Preuss
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Health Systems and Population Health, University of Washington, Seattle, WA, USA
| | - Laura M. Raffield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Dabeeru C. Rao
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Susan Redline
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | | | | | - Jennifer A. Smith
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Albert Smith
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Hemant K. Tiwari
- Department of Biostatistics, University of Alabama, Birmingham, AL, USA
| | - Michael Y. Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | | | - Zhe Wang
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Lisa R. Yanek
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Wei Zhao
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | | | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Xihong Lin
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Statistics, Harvard University, Cambridge, MA, USA
| | - Pradeep Natarajan
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Gina M. Peloso
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
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Mohebi R, Wang D, Lau ES, Parekh JK, Allen N, Psaty BM, Benjamin EJ, Levy D, Wang TJ, Shah SJ, Gottdiener JS, Januzzi JL, Ho JE. Effect of 2022 ACC/AHA/HFSA Criteria on Stages of Heart Failure in a Pooled Community Cohort. J Am Coll Cardiol 2023; 81:2231-2242. [PMID: 37286252 PMCID: PMC10319342 DOI: 10.1016/j.jacc.2023.04.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 03/28/2023] [Accepted: 04/03/2023] [Indexed: 06/09/2023]
Abstract
BACKGROUND The 2022 American College of Cardiology (ACC)/American Heart Association (AHA)/Heart Failure Society of America (HFSA) clinical practice guideline proposed an updated definition for heart failure (HF) stages. OBJECTIVES This study aimed to compare prevalence and prognosis of HF stages according to classification/definition originally described in 2013 and 2022 ACC/AHA/HFSA definitions. METHODS Study participants from 3 longitudinal cohorts (the MESA [Multi-Ethnic Study of Atherosclerosis], CHS [Cardiovascular Health Study], and the FHS [Framingham Heart Study]), were categorized into 4 HF stages according to the 2013 and 2022 criteria. Cox proportional hazards regression was used to assess predictors of progression to symptomatic HF and adverse clinical outcomes associated with each HF stage. RESULTS Among 11,618 study participants, according to the 2022 staging, 1,943 (16.7%) were healthy, 4,348 (37.4%) were in stage A (at risk), 5,019 (43.2%) were in stage B (pre-HF), and 308 (2.7%) were in stage C/D (symptomatic HF). Compared to the classification/definition originally described in 2013, the 2022 ACC/AHA/HFSA approach resulted in a higher proportion of individuals with stage B HF (increase from 15.9% to 43.2%); this shift disproportionately involved women as well as Hispanic and Black individuals. Despite the 2022 criteria designating a greater proportion of individuals as stage B, the relative risk of progression to symptomatic HF remained similar (HR: 10.61; 95% CI: 9.00-12.51; P < 0.001). CONCLUSIONS New standards for HF staging resulted in a substantial shift of community-based individuals from stage A to stage B. Those with stage B HF in the new system were at high risk for progression to symptomatic HF.
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Affiliation(s)
- Reza Mohebi
- Division of Cardiology, Massachusetts General Hospital, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA
| | - Dongyu Wang
- Harvard Medical School, Boston, Massachusetts, USA; CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA; Division of Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA; Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Emily S Lau
- Division of Cardiology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Juhi K Parekh
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA; Division of Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Norrina Allen
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Bruce M Psaty
- Department of Medicine, University of Washington, Seattle, Washington, USA; Department of Epidemiology, University of Washington, Seattle, Washington, USA; Department of Health Systems and Population Health, University of Washington, Seattle, Washington, USA; Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA
| | - Emelia J Benjamin
- Boston University School of Medicine, Boston, Massachusetts, USA; National Heart, Lung, and Blood Institute, Bethesda, Maryland, USA; Framingham Heart Study, Framingham, Massachusetts, USA
| | - Daniel Levy
- Boston University School of Medicine, Boston, Massachusetts, USA; National Heart, Lung, and Blood Institute, Bethesda, Maryland, USA; Framingham Heart Study, Framingham, Massachusetts, USA; Center for Population Studies, National Heart, Lung, and Blood Institute, Bethesda, Maryland, USA
| | - Thomas J Wang
- Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Sanjiv J Shah
- Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | | | - James L Januzzi
- Division of Cardiology, Massachusetts General Hospital, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA; Baim Institute for Clinical Research, Boston, Massachusetts, USA
| | - Jennifer E Ho
- Harvard Medical School, Boston, Massachusetts, USA; CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA; Division of Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
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42
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Li Y, Gray A, Xue L, Farb MG, Ayalon N, Andersson C, Ko D, Benjamin EJ, Levy D, Vasan RS, Larson MG, Rong J, Xanthakis V, Liu C, Fetterman JL, Gopal DM. Metabolomic Profiles, Ideal Cardiovascular Health, and Risk of Heart Failure and Atrial Fibrillation: Insights From the Framingham Heart Study. J Am Heart Assoc 2023:e028022. [PMID: 37301766 DOI: 10.1161/jaha.122.028022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Accepted: 04/13/2023] [Indexed: 06/12/2023]
Abstract
Background The American Heart Association's framework "ideal cardiovascular health" (CVH) focuses on modifiable risk factors to reduce cardiovascular disease (CVD). Metabolomics provides important pathobiological insights into risk factors and CVD development. We hypothesized that metabolomic signatures associate with CVH status, and that metabolites, at least partially, mediate the association of CVH score with atrial fibrillation (AF) and heart failure (HF). Methods and Results We studied 3056 adults in the FHS (Framingham Heart Study) cohort to evaluate CVH score and incident outcomes of AF and HF. Metabolomics data were available in 2059 participants; mediation analysis was performed to evaluate the mediation of metabolites in the association of CVH score and incident AF and HF. In the smaller cohort (mean age, 54 years; 53% women), CVH score was associated with 144 metabolites, with 64 metabolites shared across key cardiometabolic components (body mass index, blood pressure, and fasting blood glucose) of the CVH score. In mediation analyses, 3 metabolites (glycerol, cholesterol ester 16:1, and phosphatidylcholine 32:1) mediated the association of CVH score with incident AF. Seven metabolites (glycerol, isocitrate, asparagine, glutamine, indole-3-proprionate, phosphatidylcholine C36:4, and lysophosphatidylcholine 18:2), partly mediated the association between CVH score and incident HF in multivariable-adjusted models. Conclusions Most metabolites that associated with CVH score were shared the most among 3 cardiometabolic components. Three main pathways: (1) alanine, glutamine, and glutamate metabolism; (2) citric acid cycle metabolism; and (3) glycerolipid metabolism mediated CVH score with HF. Metabolomics provides insights into how ideal CVH status contributes to the development of AF and HF.
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Affiliation(s)
- Yi Li
- Department of Biostatistics, School of Public Health Boston University Boston MA USA
| | | | - Liying Xue
- Evans Department of Medicine and Whitaker Cardiovascular Institute Boston University Chobanian & Avedisian School of Medicine Boston MA USA
| | - Melissa G Farb
- Evans Department of Medicine and Whitaker Cardiovascular Institute Boston University Chobanian & Avedisian School of Medicine Boston MA USA
| | - Nir Ayalon
- Section of Cardiovascular Medicine, Department of Medicine Boston University Chobanian & Avedisian School of Medicine/Boston Medical Center Boston MA USA
| | - Charlotte Andersson
- Section of Cardiovascular Medicine, Department of Medicine Boston University Chobanian & Avedisian School of Medicine/Boston Medical Center Boston MA USA
| | - Darae Ko
- Section of Cardiovascular Medicine, Department of Medicine Boston University Chobanian & Avedisian School of Medicine/Boston Medical Center Boston MA USA
| | - Emelia J Benjamin
- Section of Cardiovascular Medicine, Department of Medicine Boston University Chobanian & Avedisian School of Medicine/Boston Medical Center Boston MA USA
- Evans Department of Medicine, Section of Cardiovascular Medicine and Department of Epidemiology Boston University Boston MA USA
- Framingham Heart Study Framingham MA USA
| | - Daniel Levy
- Population Sciences Branch, Division of Intramural Research National Heart, Lung, and Blood Institute, National Institutes of Health Bethesda MD USA
- Framingham Heart Study Framingham MA USA
| | - Ramachandran S Vasan
- Section of Cardiovascular Medicine, Department of Medicine Boston University Chobanian & Avedisian School of Medicine/Boston Medical Center Boston MA USA
- Evans Department of Medicine, Section of Cardiovascular Medicine and Department of Epidemiology Boston University Boston MA USA
- Section of Preventive Medicine and Epidemiology, Department of Medicine Boston University Chobanian & Avedisian School of Medicine Boston MA USA
- Framingham Heart Study Framingham MA USA
| | - Martin G Larson
- Department of Biostatistics Boston University School of Public Health Boston MA USA
- Framingham Heart Study Framingham MA USA
| | - Jian Rong
- Department of Biostatistics Boston University School of Public Health Boston MA USA
| | - Vanessa Xanthakis
- Section of Preventive Medicine and Epidemiology, Department of Medicine Boston University Chobanian & Avedisian School of Medicine Boston MA USA
- Department of Biostatistics Boston University School of Public Health Boston MA USA
- Framingham Heart Study Framingham MA USA
| | - Chunyu Liu
- Department of Biostatistics Boston University School of Public Health Boston MA USA
- Framingham Heart Study Framingham MA USA
| | - Jessica L Fetterman
- Evans Department of Medicine and Whitaker Cardiovascular Institute Boston University Chobanian & Avedisian School of Medicine Boston MA USA
| | - Deepa M Gopal
- Evans Department of Medicine and Whitaker Cardiovascular Institute Boston University Chobanian & Avedisian School of Medicine Boston MA USA
- Section of Cardiovascular Medicine, Department of Medicine Boston University Chobanian & Avedisian School of Medicine/Boston Medical Center Boston MA USA
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Kurniansyah N, Goodman MO, Khan AT, Wang J, Feofanova E, Bis JC, Wiggins KL, Huffman JE, Kelly T, Elfassy T, Guo X, Palmas W, Lin HJ, Hwang SJ, Gao Y, Young K, Kinney GL, Smith JA, Yu B, Liu S, Wassertheil-Smoller S, Manson JE, Zhu X, Chen YDI, Lee IT, Gu CC, Lloyd-Jones DM, Zöllner S, Fornage M, Kooperberg C, Correa A, Psaty BM, Arnett DK, Isasi CR, Rich SS, Kaplan RC, Redline S, Mitchell BD, Franceschini N, Levy D, Rotter JI, Morrison AC, Sofer T. Evaluating the use of blood pressure polygenic risk scores across race/ethnic background groups. Nat Commun 2023; 14:3202. [PMID: 37268629 PMCID: PMC10238525 DOI: 10.1038/s41467-023-38990-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 05/24/2023] [Indexed: 06/04/2023] Open
Abstract
We assess performance and limitations of polygenic risk scores (PRSs) for multiple blood pressure (BP) phenotypes in diverse population groups. We compare "clumping-and-thresholding" (PRSice2) and LD-based (LDPred2) methods to construct PRSs from each of multiple GWAS, as well as multi-PRS approaches that sum PRSs with and without weights, including PRS-CSx. We use datasets from the MGB Biobank, TOPMed study, UK biobank, and from All of Us to train, assess, and validate PRSs in groups defined by self-reported race/ethnic background (Asian, Black, Hispanic/Latino, and White). For both SBP and DBP, the PRS-CSx based PRS, constructed as a weighted sum of PRSs developed from multiple independent GWAS, perform best across all race/ethnic backgrounds. Stratified analysis in All of Us shows that PRSs are better predictive of BP in females compared to males, individuals without obesity, and middle-aged (40-60 years) compared to older and younger individuals.
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Affiliation(s)
- Nuzulul Kurniansyah
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
| | - Matthew O Goodman
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | - Alyna T Khan
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Jiongming Wang
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Elena Feofanova
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Kerri L Wiggins
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Jennifer E Huffman
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | - Tanika Kelly
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Tali Elfassy
- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Xiuqing Guo
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Walter Palmas
- Department of Medicine, Columbia University Medical Center, New York, NY, USA
| | - Henry J Lin
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Shih-Jen Hwang
- The Population Sciences Branch of the National Heart, Lung and Blood Institute, Bethesda, MD, USA
- The Framingham Heart Study, Framingham, MA, USA
| | - Yan Gao
- The Jackson Heart Study, University of Mississippi Medical Center, Jackson, MS, USA
| | - Kendra Young
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
| | - Gregory L Kinney
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
| | - Jennifer A Smith
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Bing Yu
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Simin Liu
- Center for Global Cardiometabolic Health, Department of Epidemiology, Brown University, Providence, RI, USA
- Department of Medicine, Brown University, Providence, RI, USA
| | - Sylvia Wassertheil-Smoller
- Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - JoAnn E Manson
- Department of Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Xiaofeng Zhu
- Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Yii-Der Ida Chen
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - I-Te Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung City, 40705, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, 11221, Taiwan
| | - C Charles Gu
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | | | - Sebastian Zöllner
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Myriam Fornage
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Adolfo Correa
- Departments of Medicine and Pediatrics, University of Mississippi Medical Center, Jackson, MS, USA
| | - Bruce M Psaty
- Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA
- Health Systems and Population Health, University of Washington, Seattle, WA, USA
| | - Donna K Arnett
- Office of the Provost, University of South Carolina, Columbia, SC, USA
| | - Carmen R Isasi
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Robert C Kaplan
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | - Braxton D Mitchell
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Nora Franceschini
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - Daniel Levy
- The Population Sciences Branch of the National Heart, Lung and Blood Institute, Bethesda, MD, USA
- The Framingham Heart Study, Framingham, MA, USA
| | - Jerome I Rotter
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.
- Department of Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA.
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA.
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Li Y, Wang M, Liu X, Rong J, Miller PE, Joehanes R, Huan T, Guo X, Rotter J, Smith J, Yu B, Nayor M, Levy D, Liu C, Ma J. Circulating Metabolites May Illustrate Relationship of Alcohol Consumption with Cardiovascular Disease. medRxiv 2023:2023.05.24.23290487. [PMID: 37398015 PMCID: PMC10312833 DOI: 10.1101/2023.05.24.23290487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Background Metabolite signatures of long-term alcohol consumption are lacking. To better understand the molecular basis linking alcohol drinking and cardiovascular disease (CVD), we investigated circulating metabolites associated with long-term alcohol consumption and examined whether these metabolites were associated with incident CVD. Methods Cumulative average alcohol consumption (g/day) was derived from the total consumption of beer, wine and liquor on average of 19 years in 2,428 Framingham Heart Study Offspring participants (mean age 56 years, 52% women). We used linear mixed models to investigate the associations of alcohol consumption with 211 log-transformed plasma metabolites, adjusting for age, sex, batch, smoking, diet, physical activity, BMI, and familial relationship. Cox models were used to test the association of alcohol-related metabolite scores with fatal and nonfatal incident CVD (myocardial infarction, coronary heart disease, stroke, and heart failure). Results We identified 60 metabolites associated with cumulative average alcohol consumption (p<0.05/211≈0.00024). For example, one g/day increase of alcohol consumption was associated with higher levels of cholesteryl esters (e.g., CE 16:1, beta=0.023±0.002, p=6.3e-45) and phosphatidylcholine (e.g., PC 32:1, beta=0.021±0.002, p=3.1e-38). Survival analysis identified that 10 alcohol-associated metabolites were also associated with a differential CVD risk after adjusting for age, sex, and batch. Further, we built two alcohol consumption weighted metabolite scores using these 10 metabolites and showed that, with adjustment age, sex, batch, and common CVD risk factors, the two scores had comparable but opposite associations with incident CVD, hazard ratio 1.11(95% CI=[1.02, 1.21],p=0.02) vs 0.88 (95% CI=[0.78, 0.98], p=0.02). Summary We identified 60 long-term alcohol consumption-associated metabolites. The association analysis with incident CVD suggests a complex metabolic basis between alcohol consumption and CVD.
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Affiliation(s)
- Yi Li
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, U.S
| | - Mengyao Wang
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, U.S
| | - Xue Liu
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, U.S
| | - Jian Rong
- Department of Neurology, Chobanian & Avedisian School of Medicine, Boston University, Boston, MA, U.S
| | | | - Roby Joehanes
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, US
- Framingham Heart Study, Framingham, MA, US
| | - Tianxiao Huan
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, US
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, U.S
| | - Jerome Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, U.S
| | - Jennifer Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, U.S
| | - Bing Yu
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, U.S
| | - Matthew Nayor
- Sections of Cardiovascular Medicine and Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, MA, U.S
| | - Daniel Levy
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, US
- Framingham Heart Study, Framingham, MA, US
| | - Chunyu Liu
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, U.S
| | - Jiantao Ma
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, U.S
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45
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Lee GY, Yao C, Hwang SJ, Ma J, Joehanes R, Lee DH, Ellison RC, Moore LL, Liu C, Levy D. Integrative Mendelian randomization reveals the soluble receptor for advanced glycation end products as protective in relation to rheumatoid arthritis. Sci Rep 2023; 13:8002. [PMID: 37198231 PMCID: PMC10192300 DOI: 10.1038/s41598-023-35098-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2022] [Accepted: 05/12/2023] [Indexed: 05/19/2023] Open
Abstract
Rheumatoid arthritis (RA) is a risk factor for atherosclerotic cardiovascular diseases (CVD). Given the critical roles of the immune system and inflammatory signals in the pathogenesis of CVD, we hypothesized that interrogation of CVD-related proteins using integrative genomics might provide new insights into the pathophysiology of RA. We utilized two-sample Mendelian randomization (MR) for causal inference between circulating protein levels and RA by incorporating genetic variants, followed by colocalization to characterize the causal associations. Genetic variants from three sources were obtained: those associated with 71 CVD-related proteins measured in nearly 7000 Framingham Heart Study participants, a published genome-wide association study (GWAS) of RA (19 234 cases, 61 565 controls), and GWAS of rheumatoid factor (RF) levels from the UK Biobank (n = 30 565). We identified the soluble receptor for advanced glycation end products (sRAGE), a critical inflammatory pathway protein, as putatively causal and protective for both RA (odds ratio per 1-standard deviation increment in inverse-rank normalized sRAGE level = 0.364; 95% confidence interval 0.342-0.385; P = 6.40 × 10-241) and RF levels (β [change in RF level per sRAGE increment] = - 1.318; SE = 0.434; P = 0.002). Using an integrative genomic approach, we highlight the AGER/RAGE axis as a putatively causal and promising therapeutic target for RA.
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Affiliation(s)
- Gha Young Lee
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Framingham Heart Study, 73 Mt. Wayte Avenue, Framingham, MA, 01702, USA
| | - Chen Yao
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Framingham Heart Study, 73 Mt. Wayte Avenue, Framingham, MA, 01702, USA
| | - Shih-Jen Hwang
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Framingham Heart Study, 73 Mt. Wayte Avenue, Framingham, MA, 01702, USA
| | - Jiantao Ma
- Framingham Heart Study, 73 Mt. Wayte Avenue, Framingham, MA, 01702, USA
- School of Nutrition Science and Policy, Tufts University, Boston, USA
| | - Roby Joehanes
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Framingham Heart Study, 73 Mt. Wayte Avenue, Framingham, MA, 01702, USA
| | - Dong Heon Lee
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Framingham Heart Study, 73 Mt. Wayte Avenue, Framingham, MA, 01702, USA
| | - R Curtis Ellison
- Framingham Heart Study, 73 Mt. Wayte Avenue, Framingham, MA, 01702, USA
- Boston University School of Medicine, Boston, MA, USA
| | - Lynn L Moore
- Boston University School of Medicine, Boston, MA, USA
| | - Chunyu Liu
- Framingham Heart Study, 73 Mt. Wayte Avenue, Framingham, MA, 01702, USA
- School of Public Health, Boston University, Boston, MA, USA
| | - Daniel Levy
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
- Framingham Heart Study, 73 Mt. Wayte Avenue, Framingham, MA, 01702, USA.
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46
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Zhang Y, Liu X, Wiggins KL, Kurniansyah N, Guo X, Rodrigue AL, Zhao W, Yanek LR, Ratliff SM, Pitsillides A, Aguirre Patiño JS, Sofer T, Arking DE, Austin TR, Beiser AS, Blangero J, Boerwinkle E, Bressler J, Curran JE, Hou L, Hughes TM, Kardia SLR, Launer LJ, Levy D, Mosley TH, Nasrallah IM, Rich SS, Rotter JI, Seshadri S, Tarraf W, González KA, Ramachandran V, Yaffe K, Nyquist PA, Psaty BM, DeCarli CS, Smith JA, Glahn DC, González HM, Bis JC, Fornage M, Heckbert SR, Fitzpatrick AL, Liu C, Satizabal CL. Association of Mitochondrial DNA Copy Number With Brain MRI Markers and Cognitive Function: A Meta-analysis of Community-Based Cohorts. Neurology 2023; 100:e1930-e1943. [PMID: 36927883 PMCID: PMC10159770 DOI: 10.1212/wnl.0000000000207157] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 01/20/2023] [Indexed: 03/18/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Previous studies suggest that lower mitochondrial DNA (mtDNA) copy number (CN) is associated with neurodegenerative diseases. However, whether mtDNA CN in whole blood is related to endophenotypes of Alzheimer disease (AD) and AD-related dementia (AD/ADRD) needs further investigation. We assessed the association of mtDNA CN with cognitive function and MRI measures in community-based samples of middle-aged to older adults. METHODS We included dementia-free participants from 9 diverse community-based cohorts with whole-genome sequencing in the Trans-Omics for Precision Medicine (TOPMed) program. Circulating mtDNA CN was estimated as twice the ratio of the average coverage of mtDNA to nuclear DNA. Brain MRI markers included total brain, hippocampal, and white matter hyperintensity volumes. General cognitive function was derived from distinct cognitive domains. We performed cohort-specific association analyses of mtDNA CN with AD/ADRD endophenotypes assessed within ±5 years (i.e., cross-sectional analyses) or 5-20 years after blood draw (i.e., prospective analyses) adjusting for potential confounders. We further explored associations stratified by sex and age (<60 vs ≥60 years). Fixed-effects or sample size-weighted meta-analyses were performed to combine results. Finally, we performed mendelian randomization (MR) analyses to assess causality. RESULTS We included up to 19,152 participants (mean age 59 years, 57% women). Higher mtDNA CN was cross-sectionally associated with better general cognitive function (β = 0.04; 95% CI 0.02-0.06) independent of age, sex, batch effects, race/ethnicity, time between blood draw and cognitive evaluation, cohort-specific variables, and education. Additional adjustment for blood cell counts or cardiometabolic traits led to slightly attenuated results. We observed similar significant associations with cognition in prospective analyses, although of reduced magnitude. We found no significant associations between mtDNA CN and brain MRI measures in meta-analyses. MR analyses did not reveal a causal relation between mtDNA CN in blood and cognition. DISCUSSION Higher mtDNA CN in blood is associated with better current and future general cognitive function in large and diverse communities across the United States. Although MR analyses did not support a causal role, additional research is needed to assess causality. Circulating mtDNA CN could serve nevertheless as a biomarker of current and future cognitive function in the community.
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Affiliation(s)
- Yuankai Zhang
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Xue Liu
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Kerri L Wiggins
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Nuzulul Kurniansyah
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Xiuqing Guo
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Amanda L Rodrigue
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Wei Zhao
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Lisa R Yanek
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Scott M Ratliff
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Achilleas Pitsillides
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Juan Sebastian Aguirre Patiño
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Tamar Sofer
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Dan E Arking
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Thomas R Austin
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Alexa S Beiser
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - John Blangero
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Eric Boerwinkle
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Jan Bressler
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Joanne E Curran
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Lifang Hou
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Timothy M Hughes
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Sharon L R Kardia
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Lenore J Launer
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Daniel Levy
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Thomas H Mosley
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Ilya M Nasrallah
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Stephen S Rich
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Jerome I Rotter
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Sudha Seshadri
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Wassim Tarraf
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Kevin A González
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Vasan Ramachandran
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Kristine Yaffe
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Paul A Nyquist
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Bruce M Psaty
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Charles S DeCarli
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Jennifer A Smith
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - David C Glahn
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Hector M González
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Joshua C Bis
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Myriam Fornage
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Susan R Heckbert
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Annette L Fitzpatrick
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Chunyu Liu
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle
| | - Claudia L Satizabal
- From the Department of Biostatistics (Y.Z., X.L., A.P., A.S.B., C.L.), School of Public Health, Boston University, MA; Cardiovascular Health Research Unit (K.L.W., J.C.B.), Department of Medicine, University of Washington, Seattle; Brigham and Women's Hospital (N.K., T.S.), Boston, MA; The Institute for Translational Genomics and Population Sciences (X.G., J.I.R.), Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance; Department of Psychiatry and Behavioral Sciences (A.L.R., D.C.G.), Boston Children's Hospital, MA; Department of Psychiatry (A.L.R., D.C.G.), Harvard Medical School, Boston Children's Hospital, MA; Department of Epidemiology (W.Z., S.M.R., S.L.R.K., J.A.S.), School of Public Health, University of Michigan, Ann Arbor; GeneSTAR Research Program (L.R.Y.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; School of Medicine (J.S.A.P.), Universidad de Los Andes, Bogotá, Colombia; Harvard Medical School (T.S.), Boston, MA; McKusick-Nathans Institute (D.E.A.), Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Epidemiology (T.R.A.), University of Washington, Seattle; Department of Neurology (A.S.B.), School of Medicine, Boston University, MA; Framingham Heart Study (A.S.B., D.L., S.S., V.R., C.L., C.L.S.), Framingham, MA; Department of Human Genetics and South Texas Diabetes and Obesity Institute (J. Blangero, J.E.C.), University of Texas Rio Grande, Brownsville; Human Genetics Center (E.B., J. Bressler), School of Public Health, The University of Texas Health Science Center at Houston; Human Genome Sequencing Center (E.B.), Baylor College of Medicine, Houston, TX; Department of Preventive Medicine (L.H.), Northwestern University Feinberg School of Medicine, Chicago, IL; Department of Internal Medicine (T.M.H.), Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; National Institute on Aging (L.J.L.), and Population Sciences Branch National Heart, Lung, and Blood Institute (D.L.), NIH, Bethesda, MD; Memory Impairment and Neurodegenerative Dementia (MIND) Center (T.H.M.), School of Medicine, University of Mississippi Medical Center, Jackson; Center for Biomedical Image Computing and Analytics (I.M.N.), Department of Radiology, University of Pennsylvania, Philadelphia; Center for Public Health Genomics (S.S.R.), University of Virginia School of Medicine, Charlottesville; Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases (S.S., C.L.S.), University of Texas Health Science Center at San Antonio; Institute of Gerontology & Department of Healthcare Sciences (W.T.), Wayne State University, Detroit, MI; Department of Neurosciences (K.A.G.) and Shiley-Marcos Alzheimer's Disease Center (H.M.G.), University of California, San Diego, La Jolla; Department of Medicine (V.R.), School of Medicine, and Department of Epidemiology, Boston University, MA; University of California, San Francisco (K.Y.); Department of Neurology (P.A.N.), Johns Hopkins University School of Medicine, Baltimore, MD; Cardiovascular Health Research Unit (B.M.P.), Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle; Department of Neurology (C.S.D.), UC Davis, CA; Institute of Molecular Medicine (M.F.), McGovern Medical School; and Human Genetics Center (M.F.), School of Public Health, University of Texas Health Science Center at Houston; and Cardiovascular Health Research Unit and Department of Epidemiology (S.R.H.), and Departments of Family Medicine, Epidemiology, and Global Health (A.L.F.), University of Washington, Seattle.
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Girerd N, Levy D, Duarte K, Ferreira JP, Ballantyne C, Collier T, Pizard A, Björkman J, Butler J, Clark A, Cleland JG, Delles C, Diez J, González A, Hazebroek M, Ho J, Huby AC, Hwang SJ, Latini R, Mariottoni B, Mebazaa A, Pellicori P, Sattar N, Sever P, Staessen JA, Verdonschot J, Heymans S, Rossignol P, Zannad F. Protein Biomarkers of New-Onset Heart Failure: Insights From the Heart Omics and Ageing Cohort, the Atherosclerosis Risk in Communities Study, and the Framingham Heart Study. Circ Heart Fail 2023; 16:e009694. [PMID: 37192292 DOI: 10.1161/circheartfailure.122.009694] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 03/03/2023] [Indexed: 05/18/2023]
Abstract
BACKGROUND We sought to identify protein biomarkers of new-onset heart failure (HF) in 3 independent cohorts (HOMAGE cohort [Heart Omics and Ageing], ARIC study [Atherosclerosis Risk in Communities], and FHS [Framingham Heart Study]) and assess if and to what extent they improve HF risk prediction compared to clinical risk factors alone. METHODS A nested case-control design was used with cases (incident HF) and controls (without HF) matched on age and sex within each cohort. Plasma concentrations of 276 proteins were measured at baseline in ARIC (250 cases/250 controls), FHS (191/191), and HOMAGE cohort (562/871). RESULTS In single protein analysis, after adjusting for matching variables and clinical risk factors (and correcting for multiple testing), 62 proteins were associated with incident HF in ARIC, 16 in FHS, and 116 in HOMAGE cohort. Proteins associated with incident HF in all cohorts were BNP (brain natriuretic peptide), NT-proBNP (N-terminal pro-B-type natriuretic peptide), eukaryotic translation initiation factor 4E-BP1 (4E-binding protein 1), hepatocyte growth factor (HGF), Gal-9 (galectin-9), TGF-alpha (transforming growth factor alpha), THBS2 (thrombospondin-2), and U-PAR (urokinase plasminogen activator surface receptor). The increment in C-index for incident HF based on a multiprotein biomarker approach, in addition to clinical risk factors and NT-proBNP, was 11.1% (7.5%-14.7%) in ARIC, 5.9% (2.6%-9.2%) in FHS, and 7.5% (5.4%-9.5%) in HOMAGE cohort, all P<0.001), each of which was a larger increase than that for NT-proBNP on top of clinical risk factors. Complex network analysis revealed a number of overrepresented pathways related to inflammation (eg, tumor necrosis factor and interleukin) and remodeling (eg, extracellular matrix and apoptosis). CONCLUSIONS A multiprotein biomarker approach improves prediction of incident HF when added to natriuretic peptides and clinical risk factors.
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Affiliation(s)
- Nicolas Girerd
- Université de Lorraine, Inserm, Centre d'Investigations Cliniques- Plurithématique 14-33, and Inserm U1116, CHRU, F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), Nancy, France (N.G., K.D., J.P.F., A.P., A.-C.H., P.R., F.Z.)
| | - Daniel Levy
- National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA (D.L., J.H., S.-J.H)
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda, MD (D.L., J.H., S.-J.H.)
| | - Kevin Duarte
- Université de Lorraine, Inserm, Centre d'Investigations Cliniques- Plurithématique 14-33, and Inserm U1116, CHRU, F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), Nancy, France (N.G., K.D., J.P.F., A.P., A.-C.H., P.R., F.Z.)
| | - Joao Pedro Ferreira
- Université de Lorraine, Inserm, Centre d'Investigations Cliniques- Plurithématique 14-33, and Inserm U1116, CHRU, F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), Nancy, France (N.G., K.D., J.P.F., A.P., A.-C.H., P.R., F.Z.)
| | | | - Timothy Collier
- London School of Hygiene and Tropical Medicine, United Kingdom (T.C.)
| | - Anne Pizard
- Université de Lorraine, Inserm, Centre d'Investigations Cliniques- Plurithématique 14-33, and Inserm U1116, CHRU, F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), Nancy, France (N.G., K.D., J.P.F., A.P., A.-C.H., P.R., F.Z.)
- Inserm 1024, Institut de Biologie de l'École Normale Supérieure (IBENS), PSL University of Paris, France (A.P.)
| | | | - Javed Butler
- Department of Medicine, University of Mississippi School of Medicine, Jackson (J.B.)
| | - Andrew Clark
- Hull York Medical School, Castle Hill Hospital, Cottingham, United Kingdom (A.C.)
| | - John G Cleland
- Robertson Centre for Biostatistics and Clinical Trials, Institute of Health and Wellbeing, University of Glasgow, United Kingdom (J.G.C., P.P.)
- National Heart and Lung Institute, Royal Brompton and Harefield Hospitals, Imperial College, London, United Kingdom (J.G.C.)
| | - Christian Delles
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, United Kingdom (C.D.C.)
| | - Javier Diez
- Program of Cardiovascular Diseases, Centre for Applied Medical Research, University of Navarra, Pamplona, Spain (J.D.C., A.G.C.)
- CIBERCV, Carlos III Institute of Health, Madrid, Spain (J.D.C., A.G.C.)
| | - Arantxa González
- CIBERCV, Carlos III Institute of Health, Madrid, Spain (J.D.C., A.G.C.)
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Spain (J.D.C., A.G.C.)
- Departments of Nephrology, and Cardiology and Cardiac Surgery, University of Navarra Clinic, Pamplona, Spain (A.G.C.)
| | - Mark Hazebroek
- Department of Cardiology, Maastricht University Medical Centre, Center for Heart Failure Research, Cardiovascular Research Institute Maastricht (CARIM), University Hospital Maastricht, the Netherlands (M.H.C.)
| | - Jennifer Ho
- National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA (D.L., J.H., S.-J.H)
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda, MD (D.L., J.H., S.-J.H.)
| | - Anne-Cécile Huby
- Université de Lorraine, Inserm, Centre d'Investigations Cliniques- Plurithématique 14-33, and Inserm U1116, CHRU, F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), Nancy, France (N.G., K.D., J.P.F., A.P., A.-C.H., P.R., F.Z.)
| | - Shih-Jen Hwang
- National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA (D.L., J.H., S.-J.H)
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda, MD (D.L., J.H., S.-J.H.)
| | - Roberto Latini
- IRCCS-Istituto di Ricerche Farmacologiche Mario Negri, Milano, Italy (R.L.)
| | | | - Alexandre Mebazaa
- UMRS 942; University Paris Diderot; APHP, University Hospitals Saint Louis Lariboisière, France (A.M.)
| | - Pierpaolo Pellicori
- Robertson Centre for Biostatistics and Clinical Trials, Institute of Health and Wellbeing, University of Glasgow, United Kingdom (J.G.C., P.P.)
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, United Kingdom (N.S.)
| | - Peter Sever
- International Centre for Circulatory Health, National Heart and Lung Institute, Imperial College London, United Kingdom (P.S.)
| | - Jan A Staessen
- Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (J.A.S.)
| | - Job Verdonschot
- Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium (J.A.S.)
| | - Stephane Heymans
- Department of Cardiovascular Research, University of Leuven, UZ Herestraat, Belgium (S.H.)
- Netherlands Heart Institute (ICIN), Utrecht, the Netherlands (S.H.)
- Department of Clinical Genetics, Maastricht University Medical Center, the Netherlands (S.H.)
| | - Patrick Rossignol
- Université de Lorraine, Inserm, Centre d'Investigations Cliniques- Plurithématique 14-33, and Inserm U1116, CHRU, F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), Nancy, France (N.G., K.D., J.P.F., A.P., A.-C.H., P.R., F.Z.)
| | - Faiez Zannad
- Université de Lorraine, Inserm, Centre d'Investigations Cliniques- Plurithématique 14-33, and Inserm U1116, CHRU, F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), Nancy, France (N.G., K.D., J.P.F., A.P., A.-C.H., P.R., F.Z.)
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48
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Suthahar N, Wang D, Aboumsallem JP, Shi C, de Wit S, Liu EE, Lau ES, Bakker SJL, Gansevoort RT, van der Vegt B, Jovani M, Kreger BE, Lee Splansky G, Benjamin EJ, Vasan RS, Larson MG, Levy D, Ho JE, de Boer RA. Association of Initial and Longitudinal Changes in C-reactive Protein With the Risk of Cardiovascular Disease, Cancer, and Mortality. Mayo Clin Proc 2023; 98:549-558. [PMID: 37019514 PMCID: PMC10698556 DOI: 10.1016/j.mayocp.2022.10.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 10/05/2022] [Accepted: 10/07/2022] [Indexed: 04/07/2023]
Abstract
OBJECTIVE To evaluate the value of serial C-reactive protein (CRP) measurements in predicting the risk of cardiovascular disease (CVD), cancer, and mortality. METHODS The analysis was performed using data from two prospective, population-based observational cohorts: the Prevention of Renal and Vascular End-Stage Disease (PREVEND) study and the Framingham Heart Study (FHS). A total of 9253 participants had CRP measurements available at two examinations (PREVEND: 1997-1998 and 2001-2002; FHS Offspring cohort: 1995-1998 and 1998-2001). All CRP measurements were natural log-transformed before analyses. Cardiovascular disease included fatal and nonfatal cardiovascular, cerebrovascular and peripheral vascular events, and heart failure. Cancer included all malignancies except nonmelanoma skin cancers. RESULTS The mean age of the study population at baseline was 52.4±12.1 years and 51.2% (n=4733) were women. Advanced age, female sex, smoking, body mass index, and total cholesterol were associated with greater increases in CRP levels over time (Pall<.001 in the multivariable model). Baseline CRP, as well as increase in CRP over time (ΔCRP), were associated with incident CVD (hazard ratio [HR]: 1.29 per 1-SD increase; 95% confidence interval [CI]: 1.29 to 1.47, and HR per 1-SD increase: 1.19; 95% CI: 1.09 to 1.29 respectively). Similar findings were observed for incident cancer (baseline CRP, HR: 1.17; 95% CI: 1.09 to 1.26; ΔCRP, HR: 1.08; 95% CI: 1.01 to 1.15) and mortality (baseline CRP, HR: 1.29; 95% CI: 1.21 to 1.37; ΔCRP, HR: 1.10; 95% CI: 1.05 to 1.16). CONCLUSION Initial as well as subsequent increases in CRP levels predict future CVD, cancer, and mortality in the general population.
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Affiliation(s)
- Navin Suthahar
- Department of Cardiology, University of Groningen, Groningen, the Netherlands; Department of Cardiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.
| | - Dongyu Wang
- Cardiovascular Institute and Division of Cardiology, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA; Department of Biostatistics, Boston University, Boston, MA, USA
| | | | - Canxia Shi
- Department of Cardiology, University of Groningen, Groningen, the Netherlands
| | - Sanne de Wit
- Department of Cardiology, University of Groningen, Groningen, the Netherlands
| | - Elizabeth E Liu
- Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Emily S Lau
- Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Stephan J L Bakker
- Division of Nephrology, Department of Internal Medicine, University of Groningen, Groningen, the Netherlands
| | - Ron T Gansevoort
- Division of Nephrology, Department of Internal Medicine, University of Groningen, Groningen, the Netherlands
| | - Bert van der Vegt
- Department of Pathology, University of Groningen, Groningen, the Netherlands
| | - Manol Jovani
- Digestive Diseases and Nutrition, University of Kentucky Albert B. Chandler Hospital, Lexington, KY, USA
| | - Bernard E Kreger
- Department of Medicine, School of Medicine, Boston University, Boston, MA, USA; The Framingham Heart Study, Framingham, MA, USA
| | | | - Emelia J Benjamin
- Department of Biostatistics, Boston University, Boston, MA, USA; Department of Epidemiology, School of Public Health, Boston University, Boston, MA, USA; Department of Medicine, School of Medicine, Boston University, Boston, MA, USA; The Framingham Heart Study, Framingham, MA, USA
| | - Ramachandran S Vasan
- Department of Epidemiology, School of Public Health, Boston University, Boston, MA, USA; Department of Medicine, School of Medicine, Boston University, Boston, MA, USA; The Framingham Heart Study, Framingham, MA, USA
| | - Martin G Larson
- Department of Biostatistics, Boston University, Boston, MA, USA; The Framingham Heart Study, Framingham, MA, USA
| | - Daniel Levy
- The Framingham Heart Study, Framingham, MA, USA; Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jennifer E Ho
- Cardiovascular Institute and Division of Cardiology, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Rudolf A de Boer
- Department of Cardiology, University of Groningen, Groningen, the Netherlands; Department of Cardiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.
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49
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Wong WJ, Emdin C, Bick AG, Zekavat SM, Niroula A, Pirruccello JP, Dichtel L, Griffin G, Uddin MM, Gibson CJ, Kovalcik V, Lin AE, McConkey ME, Vromman A, Sellar RS, Kim PG, Agrawal M, Weinstock J, Long MT, Yu B, Banerjee R, Nicholls RC, Dennis A, Kelly M, Loh PR, McCarroll S, Boerwinkle E, Vasan RS, Jaiswal S, Johnson AD, Chung RT, Corey K, Levy D, Ballantyne C, Ebert BL, Natarajan P. Clonal haematopoiesis and risk of chronic liver disease. Nature 2023; 616:747-754. [PMID: 37046084 PMCID: PMC10405350 DOI: 10.1038/s41586-023-05857-4] [Citation(s) in RCA: 33] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Accepted: 02/16/2023] [Indexed: 04/14/2023]
Abstract
Chronic liver disease is a major public health burden worldwide1. Although different aetiologies and mechanisms of liver injury exist, progression of chronic liver disease follows a common pathway of liver inflammation, injury and fibrosis2. Here we examined the association between clonal haematopoiesis of indeterminate potential (CHIP) and chronic liver disease in 214,563 individuals from 4 independent cohorts with whole-exome sequencing data (Framingham Heart Study, Atherosclerosis Risk in Communities Study, UK Biobank and Mass General Brigham Biobank). CHIP was associated with an increased risk of prevalent and incident chronic liver disease (odds ratio = 2.01, 95% confidence interval (95% CI) [1.46, 2.79]; P < 0.001). Individuals with CHIP were more likely to demonstrate liver inflammation and fibrosis detectable by magnetic resonance imaging compared to those without CHIP (odds ratio = 1.74, 95% CI [1.16, 2.60]; P = 0.007). To assess potential causality, Mendelian randomization analyses showed that genetic predisposition to CHIP was associated with a greater risk of chronic liver disease (odds ratio = 2.37, 95% CI [1.57, 3.6]; P < 0.001). In a dietary model of non-alcoholic steatohepatitis, mice transplanted with Tet2-deficient haematopoietic cells demonstrated more severe liver inflammation and fibrosis. These effects were mediated by the NLRP3 inflammasome and increased levels of expression of downstream inflammatory cytokines in Tet2-deficient macrophages. In summary, clonal haematopoiesis is associated with an elevated risk of liver inflammation and chronic liver disease progression through an aberrant inflammatory response.
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Affiliation(s)
- Waihay J Wong
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Connor Emdin
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Alexander G Bick
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Seyedeh M Zekavat
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
- Yale University School of Medicine, New Haven, CT, USA
- Department of Ophthalmology, Harvard Medical School, Boston, MA, USA
| | - Abhishek Niroula
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
- Department of Laboratory Medicine, Lund University, Lund, Sweden
| | - James P Pirruccello
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Division of Cardiology, University of California San Francisco, San Francisco, CA, USA
| | - Laura Dichtel
- Neuroendocrine Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Gabriel Griffin
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
- Department of Pathology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Md Mesbah Uddin
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Christopher J Gibson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Veronica Kovalcik
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Amy E Lin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Marie E McConkey
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Amelie Vromman
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Rob S Sellar
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Haematology, UCL Cancer Institute, London, UK
| | - Peter G Kim
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Mridul Agrawal
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Joshua Weinstock
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Michelle T Long
- Section of Gastroenterology, Boston Medical Center, Boston University School of Medicine, Boston, MA, USA
| | - Bing Yu
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | | | | | | | | | - Po-Ru Loh
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Steve McCarroll
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Ramachandran S Vasan
- The University of Texas School of Public Health San Antonio, San Antonio, TX, USA
- Framingham Heart Study of the NHLBI and Boston University School of Medicine, Framingham, MA, USA
- The University of Texas Health Science Center, San Antonio, TX, USA
| | - Siddhartha Jaiswal
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Andrew D Johnson
- Population Sciences Branch, National Heart, Lung, and Blood Institute, Framingham, MA, USA
| | - Raymond T Chung
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Liver Center, Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Kathleen Corey
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Liver Center, Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Daniel Levy
- Framingham Heart Study of the NHLBI and Boston University School of Medicine, Framingham, MA, USA
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Christie Ballantyne
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Benjamin L Ebert
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, USA.
- Howard Hughes Medical Institute, Dana-Farber Cancer Institute, Boston, MA, USA.
| | - Pradeep Natarajan
- Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA.
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, USA.
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50
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Gao V, Long MT, Singh SR, Kim Y, Zhang X, Rogers G, Jacques PF, Levy D, Ma J. Healthy diet is associated with lower risk of hepatic fibrosis. J Nutr 2023; 153:1587-1596. [PMID: 37023964 DOI: 10.1016/j.tjnut.2023.03.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 03/13/2023] [Accepted: 03/31/2023] [Indexed: 04/07/2023] Open
Abstract
BACKGROUND Higher diet quality is associated with a lower risk of NAFLD. OBJECTIVE We examined the relationship between diet quality and hepatic fibrosis. DESIGN We analyzed cross-sectional associations between three a priori diet quality scores: the Dietary Approaches to Stop Hypertension (DASH) score, the Alternative Healthy Eating Index (AHEI), and a modified Mediterranean-style diet score (MDS) and hepatic fat (controlled attenuation parameter; CAP) and fibrosis (liver stiffness measurement; LSM) measured by Vibration-controlled Transient Elastography (VCTE) in 2,532 Framingham Heart Study (FHS) participants and 3,295 participants of the National Health and Nutrition Examination Survey (NHANES). RESULTS Higher diet quality scores were associated with lower LSM in both FHS and NHANES after adjustment for demographic and lifestyle factors. Additional adjustment for CAP or BMI attenuated the observed associations. Association strength was similar across all three diet quality scores. Fixed effect meta-analysis demonstrated that, under CAP-adjusted models, the LSM decrease associated with one SD increase of the DASH, AHEI, and MDS score was 2% (95% CI: 0.7%, 3.3%; P = 0.002), 2% (95% CI: 0.7%, 3.3%; P = 0.003), and 1.7% (95% CI: 0.7%, 2.6%; P = 0.001), respectively. Whereas, in meta-analysis of BMI-adjusted models, LSM reduction associated with one SD increase of the DASH, AHEI, and MDS scores was 2.2% (95% CI: -0.1%, 2.2%; P=0.07), 1.5% (95% CI: 0.3%, 2.7%; P=0.02), and 0.9 (95% CI: -0.1%, 1.9%; P=0.07), respectively. CONCLUSIONS We demonstrated associations of higher diet quality with favorable hepatic fat and fibrosis measures. Our data suggest that a healthy diet may reduce the likelihood of obesity and hepatic steatosis as well as the progression of steatosis to fibrosis.
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