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Shrine N, Guyatt AL, Erzurumluoglu AM, Jackson VE, Hobbs BD, Melbourne CA, Batini C, Fawcett KA, Song K, Sakornsakolpat P, Li X, Boxall R, Reeve NF, Obeidat M, Zhao JH, Wielscher M, Weiss S, Kentistou KA, Cook JP, Sun BB, Zhou J, Hui J, Karrasch S, Imboden M, Harris SE, Marten J, Enroth S, Kerr SM, Surakka I, Vitart V, Lehtimäki T, Allen RJ, Bakke PS, Beaty TH, Bleecker ER, Bossé Y, Brandsma CA, Chen Z, Crapo JD, Danesh J, DeMeo DL, Dudbridge F, Ewert R, Gieger C, Gulsvik A, Hansell AL, Hao K, Hoffman JD, Hokanson JE, Homuth G, Joshi PK, Joubert P, Langenberg C, Li X, Li L, Lin K, Lind L, Locantore N, Luan J, Mahajan A, Maranville JC, Murray A, Nickle DC, Packer R, Parker MM, Paynton ML, Porteous DJ, Prokopenko D, Qiao D, Rawal R, Runz H, Sayers I, Sin DD, Smith BH, Artigas MS, Sparrow D, Tal-Singer R, Timmers PRHJ, Van den Berge M, Whittaker JC, Woodruff PG, Yerges-Armstrong LM, Troyanskaya OG, Raitakari OT, Kähönen M, Polašek O, Gyllensten U, Rudan I, Deary IJ, Probst-Hensch NM, Schulz H, James AL, Wilson JF, Stubbe B, Zeggini E, Jarvelin MR, Wareham N, Silverman EK, Hayward C, Morris AP, Butterworth AS, Scott RA, Walters RG, Meyers DA, Cho MH, Strachan DP, Hall IP, Tobin MD, Wain LV. Author Correction: New genetic signals for lung function highlight pathways and chronic obstructive pulmonary disease associations across multiple ancestries. Nat Genet 2024:10.1038/s41588-024-01752-4. [PMID: 38641645 DOI: 10.1038/s41588-024-01752-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/21/2024]
Affiliation(s)
- Nick Shrine
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Anna L Guyatt
- Department of Health Sciences, University of Leicester, Leicester, UK
| | | | - Victoria E Jackson
- Department of Health Sciences, University of Leicester, Leicester, UK
- Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
- Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia
| | - Brian D Hobbs
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Carl A Melbourne
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Chiara Batini
- Department of Health Sciences, University of Leicester, Leicester, UK
| | | | - Kijoung Song
- Target Sciences, GlaxoSmithKline, Collegeville, PA, USA
| | - Phuwanat Sakornsakolpat
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Xingnan Li
- Division of Genetics, Genomics and Precision Medicine, Department of Medicine, University of Arizona, Tucson, AZ, USA
| | - Ruth Boxall
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
| | - Nicola F Reeve
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Ma'en Obeidat
- The University of British Columbia Centre for Heart Lung Innovation, St Paul's Hospital, Vancouver, British Columbia, Canada
| | - Jing Hua Zhao
- Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Matthias Wielscher
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment & Health, School of Public Health, Imperial College London, London, UK
| | - Stefan Weiss
- Interfaculty Institute for Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Katherine A Kentistou
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
- Centre for Cardiovascular Sciences, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - James P Cook
- Department of Biostatistics, University of Liverpool, Liverpool, UK
| | - Benjamin B Sun
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Jian Zhou
- Flatiron Institute, Simons Foundation, New York, NY, USA
| | - Jennie Hui
- Busselton Population Medical Research Institute, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia
- School of Population Health, The University of Western Australia, Crawley, Western Australia, Australia
- PathWest Laboratory Medicine of WA, Sir Charles Gairdner Hospital, Crawley, Western Australia, Australia
- School of Pathology and Laboratory Medicine, The University of Western Australia, Crawley, Western Australia, Australia
| | - Stefan Karrasch
- Institute of Epidemiology, Helmholtz Zentrum Muenchen-German Research Center for Environmental Health, Neuherberg, Germany
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, Ludwig-Maximilians-Universität, Munich, Germany
- Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Medea Imboden
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Sarah E Harris
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Centre for Genomic and Experimental Medicine, Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Jonathan Marten
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Stefan Enroth
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala Universitet, Uppsala, Sweden
| | - Shona M Kerr
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Ida Surakka
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- The National Institute for Health and Welfare (THL), Helsinki, Finland
| | - Veronique Vitart
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland
| | - Richard J Allen
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Per S Bakke
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Terri H Beaty
- Department of Epidemiology, Johns Hopkins University School of Public Health, Baltimore, MD, USA
| | - Eugene R Bleecker
- Division of Genetics, Genomics and Precision Medicine, Department of Medicine, University of Arizona, Tucson, AZ, USA
| | - Yohan Bossé
- Department of Molecular Medicine, Laval University, Québec, Canada
- Institut Universitaire de Cardiologie et de Pneumologie de Québec, Laval University, Québec, Canada
| | - Corry-Anke Brandsma
- University of Groningen, University Medical Center Groningen, Department of Pathology and Medical Biology, GRIAC Research Institute, University of Groningen, Groningen, The Netherlands
| | - Zhengming Chen
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - James D Crapo
- National Jewish Health, Denver, CO, USA
- Division of Pulmonary, Critical Care and Sleep Medicine, National Jewish Health, Denver, CO, USA
| | - John Danesh
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- British Heart Foundation Cambridge Centre of Excellence, Division of Cardiovascular Medicine, Addenbrooke's Hospital, Cambridge, UK
- Department of Human Genetics, Wellcome Trust Sanger Institute, Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Dawn L DeMeo
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Frank Dudbridge
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Ralf Ewert
- Department of Internal Medicine B - Cardiology, Intensive Care, Pulmonary Medicine and Infectious Diseases, University Medicine Greifswald, Greifswald, Germany
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum Muenchen - German Research Center for Environmental Health, Neuherberg, Germany
| | - Amund Gulsvik
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Anna L Hansell
- Centre for Environmental Health & Sustainability, University of Leicester, Leicester, UK
- UK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Imperial College Healthcare NHS Trust, St Mary's Hospital, London, UK
| | - Ke Hao
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - John E Hokanson
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Peter K Joshi
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Philippe Joubert
- Institut Universitaire de Cardiologie et de Pneumologie de Québec, Laval University, Québec, Canada
- Department of Molecular Biology, Medical Biochemistry, and Pathology, Laval University, Québec, Canada
| | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Xuan Li
- The University of British Columbia Centre for Heart Lung Innovation, St Paul's Hospital, Vancouver, British Columbia, Canada
| | - Liming Li
- Department of Epidemiology & Biostatistics, Peking University Health Science Center, Beijing, China
| | - Kuang Lin
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Lars Lind
- Department of Medical Sciences, Cardiovascular Epidemiology, Uppsala University, Uppsala, Sweden
| | | | - Jian'an Luan
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Anubha Mahajan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | | | - Alison Murray
- The Institute of Medical Sciences, Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, UK
| | - David C Nickle
- MRL, Merck & Co., Inc, Kenilworth, NJ, USA
- Gossamer Bio, San Diego, CA, USA
| | - Richard Packer
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Margaret M Parker
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Megan L Paynton
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - David J Porteous
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Centre for Genomic and Experimental Medicine, Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Dmitry Prokopenko
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Dandi Qiao
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Rajesh Rawal
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum Muenchen - German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Heiko Runz
- MRL, Merck & Co., Inc, Kenilworth, NJ, USA
| | - Ian Sayers
- Division of Respiratory Medicine and NIHR-Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK
| | - Don D Sin
- The University of British Columbia Centre for Heart Lung Innovation, St Paul's Hospital, Vancouver, British Columbia, Canada
- Respiratory Division, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Blair H Smith
- Division of Population Health and Genomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK
| | - María Soler Artigas
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Barcelona, Spain
| | - David Sparrow
- VA Boston Healthcare System, Boston, MA, USA
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | | | - Paul R H J Timmers
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Maarten Van den Berge
- University of Groningen, University Medical Center Groningen, Department of Pulmonology, GRIAC Research Institute, University of Groningen, Groningen, The Netherlands
| | - John C Whittaker
- Target Sciences - R&D, GSK Medicines Research Centre, Stevenage, UK
| | - Prescott G Woodruff
- UCSF Pulmonary, Critical Care, Allergy and Sleep Medicine, University of California, San Francisco, CA, USA
| | | | - Olga G Troyanskaya
- Department of Computer Science, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Olli T Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, and Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland
| | - Ozren Polašek
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
- University of Split School of Medicine, Split, Croatia
| | - Ulf Gyllensten
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala Universitet, Uppsala, Sweden
| | - Igor Rudan
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Nicole M Probst-Hensch
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Holger Schulz
- Institute of Epidemiology, Helmholtz Zentrum Muenchen-German Research Center for Environmental Health, Neuherberg, Germany
- Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Alan L James
- Busselton Population Medical Research Institute, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia
- Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia
- School of Medicine and Pharmacology, The University of Western Australia, Crawley, Western Australia, Australia
| | - James F Wilson
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Beate Stubbe
- Department of Internal Medicine B - Cardiology, Intensive Care, Pulmonary Medicine and Infectious Diseases, University Medicine Greifswald, Greifswald, Germany
| | - Eleftheria Zeggini
- Wellcome Sanger Institute, Hinxton, UK
- Institute of Translational Genomics, Helmholtz Zentrum Muenchen - German Research Center for Environmental Health, Neuherberg, Germany
| | - Marjo-Riitta Jarvelin
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment & Health, School of Public Health, Imperial College London, London, UK
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Unit of Primary Health Care, Oulu University Hospital, Oulu, Finland
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, Uxbridge, UK
| | - Nick Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Edwin K Silverman
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Caroline Hayward
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Andrew P Morris
- Department of Biostatistics, University of Liverpool, Liverpool, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Adam S Butterworth
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Robert A Scott
- Target Sciences - R&D, GSK Medicines Research Centre, Stevenage, UK
| | - Robin G Walters
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Deborah A Meyers
- Division of Genetics, Genomics and Precision Medicine, Department of Medicine, University of Arizona, Tucson, AZ, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - David P Strachan
- Population Health Research Institute, St George's, University of London, London, UK
| | - Ian P Hall
- Division of Respiratory Medicine and NIHR-Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK
| | - Martin D Tobin
- Department of Health Sciences, University of Leicester, Leicester, UK.
- National Institute for Health Research, Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, UK.
| | - Louise V Wain
- Department of Health Sciences, University of Leicester, Leicester, UK.
- National Institute for Health Research, Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, UK.
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Huang Y, Ge R, Qian J, Lu J, Qiao D, Chen R, Jiang H, Cui D, Zhang T, Wang N, He S, Wang M, Yan F. Lacticaseibacillus rhamnosus GG Improves Periodontal Bone Repair via Gut-Blood Axis in Hyperlipidemia. J Dent Res 2024; 103:253-262. [PMID: 38197171 DOI: 10.1177/00220345231217402] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2024] Open
Abstract
Periodontal bone regeneration remains a clinical challenge, and hyperlipidemia can aggravate alveolar bone resorption. Probiotics have recently been reported to improve bone mass. We aimed to determine the role of Lacticaseibacillus rhamnosus GG (LGG) in periodontal bone regeneration improvement within the context of periodontitis with hyperlipidemia. A Sprague Dawley rat model for periodontitis, hyperlipidemia, and periodontal fenestration defect was constructed (n = 36) and administered LGG gavage for 6 wk (the rats were subsequently sacrificed). Fecal microbiota from donor rats 3 wk after LGG gavage was transplanted into recipient rats to evaluate the role of LGG-modulated gut microbiota in periodontal bone regeneration. Regenerated bone mass was detected using micro-computerized tomography and hematoxylin and eosin stain. Gut microbiota was analyzed using 16S ribosomal RNA sequencing. Serum metabolites were detected by liquid chromatography-mass spectrometry (6 wk after LGG gavage). The pro-osteogenic effects of screened serum metabolite were verified in vitro on bone marrow mesenchymal stem cells (BMMSCs). We found that the bone mineral density, bone volume (BV), trabecular bone volume fraction (BV/TV), and trabecular thickness of the regenerated periodontal bone increased after LGG gavage (P < 0.05) but had little effect on oral flora. After LGG gavage, Staphylococcus, Corynebacterium, and Collinsella in the gut of donors were significantly changed, and these differences were maintained in recipients, who also showed increased trabecular thickness of the regenerated periodontal bone (P < 0.05). These key genera were correlated with BV/TV and BV (P < 0.05). In addition, LGG gavage significantly regulated bone-related blood metabolites, of which selenomethionine promoted BMMSC osteogenesis. Notably, selenomethionine was associated with key gut genera (P < 0.05). Collectively, LGG improved periodontal bone regeneration in the context of periodontitis with hyperlipidemia by modulating gut microbiota and increasing pro-osteogenic metabolites in the blood. These results reveal new insights into the use of probiotics to promote periodontal bone regeneration via the gut-blood-bone axis.
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Affiliation(s)
- Y Huang
- Department of Periodontology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
- Department of Periodontology, Stomatological Hospital and Dental School of Tongji University, Shanghai Engineering Research Center of Tooth Restoration and Regeneration, Shanghai, China
| | - R Ge
- School of Stomatology, Zunyi Medical University, Zunyi, China
| | - J Qian
- Department of Periodontology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - J Lu
- Department of Periodontology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - D Qiao
- Department of Periodontology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - R Chen
- Department of Periodontology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - H Jiang
- Department of Periodontology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
- Department of Stomatology, Dushu Lake Hospital Affiliated to Soochow University, Medical Center of Soochow University, Suzhou Dushu Lake Hospital, Suzhou, China
| | - D Cui
- Department of Periodontology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - T Zhang
- Department of Periodontology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - N Wang
- Department of Periodontology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - S He
- Department of Periodontology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - M Wang
- Department of Periodontology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - F Yan
- Department of Periodontology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
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3
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Weinstock JS, Laurie CA, Broome JG, Taylor KD, Guo X, Shuldiner AR, O’Connell JR, Lewis JP, Boerwinkle E, Barnes KC, Chami N, Kenny EE, Loos RJ, Fornage M, Redline S, Cade BE, Gilliland FD, Chen Z, Gauderman WJ, Kumar R, Grammer L, Schleimer RP, Psaty BM, Bis JC, Brody JA, Silverman EK, Yun JH, Qiao D, Weiss ST, Lasky-Su J, DeMeo DL, Palmer ND, Freedman BI, Bowden DW, Cho MH, Vasan RS, Johnson AD, Yanek LR, Becker LC, Kardia S, He J, Kaplan R, Heckbert SR, Smith NL, Wiggins KL, Arnett DK, Irvin MR, Tiwari H, Correa A, Raffield LM, Gao Y, de Andrade M, Rotter JI, Rich SS, Manichaikul AW, Konkle BA, Johnsen JM, Wheeler MM, Custer BS, Duggirala R, Curran JE, Blangero J, Gui H, Xiao S, Williams LK, Meyers DA, Li X, Ortega V, McGarvey S, Gu CC, Chen YDI, Lee WJ, Shoemaker MB, Darbar D, Roden D, Albert C, Kooperberg C, Desai P, Blackwell TW, Abecasis GR, Smith AV, Kang HM, Mathias R, Natarajan P, Jaiswal S, Reiner AP, Bick AG. The genetic determinants of recurrent somatic mutations in 43,693 blood genomes. Sci Adv 2023; 9:eabm4945. [PMID: 37126548 PMCID: PMC10132750 DOI: 10.1126/sciadv.abm4945] [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] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 03/24/2023] [Indexed: 05/03/2023]
Abstract
Nononcogenic somatic mutations are thought to be uncommon and inconsequential. To test this, we analyzed 43,693 National Heart, Lung and Blood Institute Trans-Omics for Precision Medicine blood whole genomes from 37 cohorts and identified 7131 non-missense somatic mutations that are recurrently mutated in at least 50 individuals. These recurrent non-missense somatic mutations (RNMSMs) are not clearly explained by other clonal phenomena such as clonal hematopoiesis. RNMSM prevalence increased with age, with an average 50-year-old having 27 RNMSMs. Inherited germline variation associated with RNMSM acquisition. These variants were found in genes involved in adaptive immune function, proinflammatory cytokine production, and lymphoid lineage commitment. In addition, the presence of eight specific RNMSMs associated with blood cell traits at effect sizes comparable to Mendelian genetic mutations. Overall, we found that somatic mutations in blood are an unexpectedly common phenomenon with ancestry-specific determinants and human health consequences.
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Affiliation(s)
- Joshua S. Weinstock
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
| | - Cecelia A. Laurie
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Jai G. Broome
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Kent D. Taylor
- 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
| | - 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
| | - Alan R. Shuldiner
- Department of Medicine, University of Maryland, Baltimore, Baltimore, MD 21201, USA
| | - Jeffrey R. O’Connell
- Department of Medicine, University of Maryland, Baltimore, Baltimore, MD 21201, USA
| | - Joshua P. Lewis
- Department of Medicine, University of Maryland, Baltimore, Baltimore, MD 21201, USA
| | - Eric Boerwinkle
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Kathleen C. Barnes
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Nathalie Chami
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Eimear E. Kenny
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Ruth J. F. Loos
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Susan Redline
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Harvard Medical School, Boston, MA 02115, USA
| | - Brian E. Cade
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Harvard Medical School, Boston, MA 02115, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Frank D. Gilliland
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - Zhanghua Chen
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - W. James Gauderman
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - Rajesh Kumar
- Ann and Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL 60611, USA
- Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Leslie Grammer
- Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | | | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98195, USA
- Department of Epidemiology, University of Washington, Seattle, WA 98195, USA
- Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Joshua C. Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Jennifer A. Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Edwin K. Silverman
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Jeong H. Yun
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Dandi Qiao
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Scott T. Weiss
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Jessica Lasky-Su
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Dawn L. DeMeo
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Nicholette D. Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Barry I. Freedman
- Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Donald W. Bowden
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Michael H. Cho
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Ramachandran S. Vasan
- National Heart, Lung, and Blood Institute’s, Boston University’s Framingham Heart Study, Framingham, MA 01701, USA
| | - Andrew D. Johnson
- National Heart, Lung, and Blood Institute’s, Boston University’s Framingham Heart Study, Framingham, MA 01701, USA
- National Heart, Lung and Blood Institute, Population Sciences Branch, Framingham, MA 01701, USA
| | - Lisa R. Yanek
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Lewis C. Becker
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Sharon Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA
| | - Robert Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Susan R. Heckbert
- Department of Epidemiology, University of Washington, Seattle, WA 98195, USA
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA 98101, USA
| | - Nicholas L. Smith
- Department of Epidemiology, University of Washington, Seattle, WA 98195, USA
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA 98101, USA
- Seattle Epidemiologic Research and Information Center, Department of Veterans Affairs Office of Research and Development, Seattle, WA 98108, USA
| | - Kerri L. Wiggins
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
| | - Donna K. Arnett
- Dean’s Office, College of Public Health, University of Kentucky, Lexington, KY 40506, USA
| | | | - Hemant Tiwari
- University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Adolfo Correa
- Department of Medicine, Jackson Heart Study, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Laura M. Raffield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Yan Gao
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Mariza de Andrade
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, 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 Sciences, Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22903, USA
| | - Ani W. Manichaikul
- Department of Public Health Sciences, Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22903, USA
| | - Barbara A. Konkle
- Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Jill M. Johnsen
- Department of Medicine, University of Washington, Seattle, WA 98195, USA
- Research Institute, Bloodworks Northwest, Seattle, WA 98102, USA
| | | | | | - Ravindranath Duggirala
- Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520, USA
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520, USA
| | - Joanne E. Curran
- Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520, USA
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520, USA
| | - John Blangero
- Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520, USA
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520, USA
| | - Hongsheng Gui
- Center for Individualized and Genomic Medicine Research (CIGMA), Henry Ford Health System, Detroit, MI 48202, USA
- Department of Medicine, Henry Ford Health System, Detroit, MI 48202, USA
| | - Shujie Xiao
- Center for Individualized and Genomic Medicine Research (CIGMA), Henry Ford Health System, Detroit, MI 48202, USA
- Department of Medicine, Henry Ford Health System, Detroit, MI 48202, USA
| | - L. Keoki Williams
- Center for Individualized and Genomic Medicine Research (CIGMA), Henry Ford Health System, Detroit, MI 48202, USA
- Department of Medicine, Henry Ford Health System, Detroit, MI 48202, USA
| | - Deborah A. Meyers
- Division of Genetics, Genomics, and Precision Medicine, University of Arizona, Tucson, AZ 85721, USA
| | - Xingnan Li
- Department of Medicine, University of Arizona, Tucson, AZ 85721, USA
| | - Victor Ortega
- Wake Forest University School of Medicine, Winston-Salem, NC 27101, USA
| | - Stephen McGarvey
- Department of Epidemiology and International Health Institute, Brown University School of Public Health, Providence, RI 02903, USA
| | - C. Charles Gu
- Division of Biostatistics, Washington University School of Medicine, Campus Box 8067, 660 S. Euclid Avenue, St. Louis, MO 63110, 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 90502, USA
| | - Wen-Jane Lee
- Department of Medical Research, Taichung Veterans General Hospital, 1650, Sec. 4, Taiwan Boulevard, Taichung City, Taiwan
| | - M. Benjamin Shoemaker
- Division of Cardiology, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Dawood Darbar
- Division of Cardiology, University of Illinois at Chicago, Chicago, IL 60607, USA
| | - Dan Roden
- Departments of Medicine, Pharmacology, and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Christine Albert
- Department of Cardiology, Cedars-Sinai, Los Angeles, CA 90048, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Pinkal Desai
- Division of Hematology and Oncology, Weill Cornell Medicine, New York, NY 10065, USA
- Englander Institute of Precision Medicine, Weill Cornell Medicine, New York 10065, NY, USA
| | - Thomas W. Blackwell
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
| | - Goncalo R. Abecasis
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
- Regeneron Pharmaceuticals, Tarrytown, NY 10591, USA
| | - Albert V. Smith
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
| | - Hyun M. Kang
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
| | - Rasika Mathias
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Pradeep Natarajan
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | | | - Alexander P. Reiner
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
- Department of Epidemiology, University of Washington, Seattle, WA 98195, USA
| | - Alexander G. Bick
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University, Nashville, TN 37232, USA
| | - NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA 98195, USA
- 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
- Department of Medicine, University of Maryland, Baltimore, Baltimore, MD 21201, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
- The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Harvard Medical School, Boston, MA 02115, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90089, USA
- Ann and Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL 60611, USA
- Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98195, USA
- Department of Epidemiology, University of Washington, Seattle, WA 98195, USA
- Department of Medicine, University of Washington, Seattle, WA 98195, USA
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
- Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
- National Heart, Lung, and Blood Institute’s, Boston University’s Framingham Heart Study, Framingham, MA 01701, USA
- National Heart, Lung and Blood Institute, Population Sciences Branch, Framingham, MA 01701, USA
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
- Department of Epidemiology, University of Washington, Seattle, WA 98195, USA
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA 98101, USA
- Seattle Epidemiologic Research and Information Center, Department of Veterans Affairs Office of Research and Development, Seattle, WA 98108, USA
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
- Dean’s Office, College of Public Health, University of Kentucky, Lexington, KY 40506, USA
- University of Alabama at Birmingham, Birmingham, AL 35294, USA
- Department of Medicine, Jackson Heart Study, University of Mississippi Medical Center, Jackson, MS 39216, USA
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
- Department of Public Health Sciences, Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22903, USA
- Department of Medicine, University of Washington, Seattle, WA 98195, USA
- Research Institute, Bloodworks Northwest, Seattle, WA 98102, USA
- Genome Science, University of Washington, Seattle, WA 98195, USA
- Vitalant Research Institute, San Francisco, CA 94105, USA
- Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520, USA
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520, USA
- Center for Individualized and Genomic Medicine Research (CIGMA), Henry Ford Health System, Detroit, MI 48202, USA
- Department of Medicine, Henry Ford Health System, Detroit, MI 48202, USA
- Division of Genetics, Genomics, and Precision Medicine, University of Arizona, Tucson, AZ 85721, USA
- Department of Medicine, University of Arizona, Tucson, AZ 85721, USA
- Wake Forest University School of Medicine, Winston-Salem, NC 27101, USA
- Department of Epidemiology and International Health Institute, Brown University School of Public Health, Providence, RI 02903, USA
- Division of Biostatistics, Washington University School of Medicine, Campus Box 8067, 660 S. Euclid Avenue, St. Louis, MO 63110, USA
- Department of Medical Research, Taichung Veterans General Hospital, 1650, Sec. 4, Taiwan Boulevard, Taichung City, Taiwan
- Division of Cardiology, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Division of Cardiology, University of Illinois at Chicago, Chicago, IL 60607, USA
- Departments of Medicine, Pharmacology, and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37232, USA
- Department of Cardiology, Cedars-Sinai, Los Angeles, CA 90048, USA
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
- Division of Hematology and Oncology, Weill Cornell Medicine, New York, NY 10065, USA
- Englander Institute of Precision Medicine, Weill Cornell Medicine, New York 10065, NY, USA
- Regeneron Pharmaceuticals, Tarrytown, NY 10591, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
- Department of Pathology, Stanford University, Stanford, CA 94305, USA
- Department of Epidemiology, University of Washington, Seattle, WA 98195, USA
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University, Nashville, TN 37232, USA
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4
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Dai JE, Zhang JY, Qiao D, Zhao ST, Zhang X, Li SY. [Structural characteristics of lower respiratory tract microflora in patients with pneumoconiosis]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2023; 41:247-254. [PMID: 37248177 DOI: 10.3760/cma.j.cn121094-20220328-00154] [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] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
Objective: To explore the composition of bacteria in lower respiratory tract of patients with pneumoconiosis and dust exposure, and to compare and analyze the difference and correlation between them. Methods: From May 2020 to January 2021, a prospective multicenter cross-sectional study was conducted to select patients with pneumoconiosis who underwent bronchoalveolar lavage treatment at the Respiratory and Critical Care Medical Department of the 920th Hospital of the Joint Support Force and the Respiratory Department of Tongren Hospital in Kunming, as well as the population of dust recipients. A total of 24 patients with pneumoconiosis (pneumoconiosis group) were included, and 16 dust exposed individuals (dust exposed group) were used as controls. Two groups of patients' alveolar lavage fluid were collected. The 16SrRNA gene V3-V4 sequencing technology and bioinformatics analysis platform were used to measure and analyze the differences in microbial structure composition and associations between bacterial communities. Results: Compared with the dust exposed group, the top 5 bacterial phyla in the alveolar lavage fluid level of patients with pneumoconiosis were the same, followed by Proteobacteria, Firmicutes, Bacteroidetes, Fusobacteria, and Actinobacteria. Compared with the dust exposure group, the pneumoconiosis group patients belong to the top 5 genera of horizontal flora abundance, which are different. The dust exposure group is respectively: Pseudomonas, Proctor, Streptococcus, Achromobacter, and Neisseria. The pneumoconiosis group is respectively: Pseudomonas, Achromobacter, Streptococcus, Ralstonia, and Proctor. The Alpha diversity analysis results showed that compared with the dust exposed group, the level of bacterial diversity in the pneumoconiosis group was difference (P<0.05), and there was no statistically significant difference in bacterial evenness (P>0.05) ; Beta diversity showed differences in microbial community structure between the two groups (P<0.05 ). Single factor microbial association network analysis showed that there was a high correlation between Firmicutes and Bacteroidetes in the pneumoconiosis and dust exposed groups and other species, showing a positive correlation; The correlation between Proteobacteria and other species is high, showing a negative correlation. Conclusion: The structure and relative abundance of bacteria in lower respiratory tract were different between patients with pneumoconiosis and dust exposure, and the diversity of bacteria in lower respiratory tract increased in patients with pneumoconiosis, which may be related to disease status.
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Affiliation(s)
- J E Dai
- Department of Respiratory Medicine, 920th Hospital of Chinese People's Liberation Army Joint Logistic Support Force, Kunming 650032, China
| | - J Y Zhang
- Department of Respiratory Medicine, 920th Hospital of Chinese People's Liberation Army Joint Logistic Support Force, Kunming 650032, China
| | - D Qiao
- Kunming Tongren Hospital, Kunming 650228, China
| | - S T Zhao
- Department of Respiratory Medicine, 920th Hospital of Chinese People's Liberation Army Joint Logistic Support Force, Kunming 650032, China
| | - X Zhang
- Department of Respiratory Medicine, 920th Hospital of Chinese People's Liberation Army Joint Logistic Support Force, Kunming 650032, China
| | - S Y Li
- Department of Respiratory Medicine, 920th Hospital of Chinese People's Liberation Army Joint Logistic Support Force, Kunming 650032, China
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5
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Weinstock JS, Gopakumar J, Burugula BB, Uddin MM, Jahn N, Belk JA, Bouzid H, Daniel B, Miao Z, Ly N, Mack TM, Luna SE, Prothro KP, Mitchell SR, Laurie CA, Broome JG, Taylor KD, Guo X, Sinner MF, von Falkenhausen AS, Kääb S, Shuldiner AR, O'Connell JR, Lewis JP, Boerwinkle E, Barnes KC, Chami N, Kenny EE, Loos RJF, Fornage M, Hou L, Lloyd-Jones DM, Redline S, Cade BE, Psaty BM, Bis JC, Brody JA, Silverman EK, Yun JH, Qiao D, Palmer ND, Freedman BI, Bowden DW, Cho MH, DeMeo DL, Vasan RS, Yanek LR, Becker LC, Kardia SLR, Peyser PA, He J, Rienstra M, Van der Harst P, Kaplan R, Heckbert SR, Smith NL, Wiggins KL, Arnett DK, Irvin MR, Tiwari H, Cutler MJ, Knight S, Muhlestein JB, Correa A, Raffield LM, Gao Y, de Andrade M, Rotter JI, Rich SS, Tracy RP, Konkle BA, Johnsen JM, Wheeler MM, Smith JG, Melander O, Nilsson PM, Custer BS, Duggirala R, Curran JE, Blangero J, McGarvey S, Williams LK, Xiao S, Yang M, Gu CC, Chen YDI, Lee WJ, Marcus GM, Kane JP, Pullinger CR, Shoemaker MB, Darbar D, Roden DM, Albert C, Kooperberg C, Zhou Y, Manson JE, Desai P, Johnson AD, Mathias RA, Blackwell TW, Abecasis GR, Smith AV, Kang HM, Satpathy AT, Natarajan P, Kitzman JO, Whitsel EA, Reiner AP, Bick AG, Jaiswal S. Aberrant activation of TCL1A promotes stem cell expansion in clonal haematopoiesis. Nature 2023; 616:755-763. [PMID: 37046083 PMCID: PMC10360040 DOI: 10.1038/s41586-023-05806-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [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: 09/03/2021] [Accepted: 02/08/2023] [Indexed: 04/14/2023]
Abstract
Mutations in a diverse set of driver genes increase the fitness of haematopoietic stem cells (HSCs), leading to clonal haematopoiesis1. These lesions are precursors for blood cancers2-6, but the basis of their fitness advantage remains largely unknown, partly owing to a paucity of large cohorts in which the clonal expansion rate has been assessed by longitudinal sampling. Here, to circumvent this limitation, we developed a method to infer the expansion rate from data from a single time point. We applied this method to 5,071 people with clonal haematopoiesis. A genome-wide association study revealed that a common inherited polymorphism in the TCL1A promoter was associated with a slower expansion rate in clonal haematopoiesis overall, but the effect varied by driver gene. Those carrying this protective allele exhibited markedly reduced growth rates or prevalence of clones with driver mutations in TET2, ASXL1, SF3B1 and SRSF2, but this effect was not seen in clones with driver mutations in DNMT3A. TCL1A was not expressed in normal or DNMT3A-mutated HSCs, but the introduction of mutations in TET2 or ASXL1 led to the expression of TCL1A protein and the expansion of HSCs in vitro. The protective allele restricted TCL1A expression and expansion of mutant HSCs, as did experimental knockdown of TCL1A expression. Forced expression of TCL1A promoted the expansion of human HSCs in vitro and mouse HSCs in vivo. Our results indicate that the fitness advantage of several commonly mutated driver genes in clonal haematopoiesis may be mediated by TCL1A activation.
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Affiliation(s)
- Joshua S Weinstock
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | | | | | - Md Mesbah Uddin
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Nikolaus Jahn
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Julia A Belk
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Hind Bouzid
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Bence Daniel
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Zhuang Miao
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Nghi Ly
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Taralynn M Mack
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University, Nashville, TN, USA
| | - Sofia E Luna
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Katherine P Prothro
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
| | - Shaneice R Mitchell
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Cecelia A Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, USA
- University of Washington, Seattle, WA, USA
| | - Jai G Broome
- Department of Biostatistics, University of Washington, Seattle, WA, USA
- University of Washington, Seattle, WA, USA
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Kent D Taylor
- 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
- Institute for Translational Genomics and Populations Sciences, Lundquist Institute, Torrance, CA, 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
- Lundquist Institute, Torrance, CA, USA
| | - Moritz F Sinner
- Department of Medicine I, University Hospital, LMU Munich, Munich, Germany
- German Centre for Cardiovascular Research (DZHK), partner site: Munich Heart Alliance, Munich, Germany
| | - Aenne S von Falkenhausen
- Department of Medicine I, University Hospital, LMU Munich, Munich, Germany
- German Centre for Cardiovascular Research (DZHK), partner site: Munich Heart Alliance, Munich, Germany
| | - Stefan Kääb
- Department of Medicine I, University Hospital, LMU Munich, Munich, Germany
- German Centre for Cardiovascular Research (DZHK), partner site: Munich Heart Alliance, Munich, Germany
| | - Alan R Shuldiner
- Department of Medicine, University of Maryland, Baltimore, Baltimore, MD, USA
| | - Jeffrey R O'Connell
- Department of Medicine, University of Maryland, Baltimore, Baltimore, MD, USA
| | - Joshua P Lewis
- Department of Medicine, University of Maryland, Baltimore, Baltimore, MD, USA
- University of Maryland, Baltimore, MD, USA
| | - Eric Boerwinkle
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
- University of Texas Health at Houston, Houston, TX, USA
| | - Kathleen C Barnes
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Nathalie Chami
- The Charles Bronfman Institute of Personalized Medicine, New York, NY, USA
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Eimear E Kenny
- Institute for Genomic Health, New York, NY, USA
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ruth J F Loos
- The Charles Bronfman Institute of Personalized Medicine, New York, NY, USA
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Myriam Fornage
- University of Texas Health 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
| | - Lifang Hou
- Department of Preventive Medicine, Northeastern University, Chicago, IL, USA
| | | | - Susan Redline
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Brian E Cade
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Brigham and Women's Hospital, Boston, MA, USA
| | - Bruce M Psaty
- University of Washington, Seattle, WA, USA
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Jennifer A Brody
- University of Washington, Seattle, WA, USA
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Edwin K Silverman
- Brigham and Women's Hospital, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Jeong H Yun
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Dandi Qiao
- Brigham and Women's Hospital, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Biochemistry, Wake Forest Baptist Health, Winston-Salem, NC, USA
| | - Barry I Freedman
- Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Donald W Bowden
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Biochemistry, Wake Forest Baptist Health, Winston-Salem, NC, USA
| | - Michael H Cho
- Brigham and Women's Hospital, Boston, MA, USA
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Dawn L DeMeo
- Brigham and Women's Hospital, Boston, MA, USA
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Ramachandran S Vasan
- National Heart Lung and Blood Institute's, Boston University's Framingham Heart Study, Framingham, MA, USA
| | - Lisa R Yanek
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Johns Hopkins University, Baltimore, MD, USA
| | - Lewis C Becker
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Johns Hopkins University, Baltimore, MD, USA
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
- University of Michigan, Ann Arbor, MI, USA
| | - Patricia A Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
- University of Michigan, Ann Arbor, MI, USA
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
- Tulane University, New Orleans, LA, USA
| | - Michiel Rienstra
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Pim Van der Harst
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Robert Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Albert Einstein College of Medicine, New York, NY, USA
| | - Susan R Heckbert
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA
| | - Nicholas L Smith
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA
- Seattle Epidemiologic Research and Information Center, Department of Veterans Affairs Office of Research and Development, Seattle, WA, USA
- Broad Institute, Cambridge, MA, USA
| | - Kerri L Wiggins
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Donna K Arnett
- College of Public Health, University of Kentucky, Lexington, KY, USA
- University of Kentucky, Lexington, KY, USA
| | | | - Hemant Tiwari
- Department of Biostatistics, University of Alabama, Birmingham, AL, USA
| | - Michael J Cutler
- Intermountain Heart Institute, Intermountain Medical Center, Salt Lake City, UT, USA
| | - Stacey Knight
- Intermountain Heart Institute, Intermountain Medical Center, Salt Lake City, UT, USA
| | - J Brent Muhlestein
- Intermountain Heart Institute, Intermountain Medical Center, Salt Lake City, UT, USA
| | - Adolfo Correa
- Department of Medicine, Jackson Heart Study, University of Mississippi Medical Center, Jackson, MS, USA
- Department of Population Health Science, University of Mississippi, Jackson, MS, USA
| | - Laura M Raffield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Yan Gao
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
- University of Mississippi, Jackson, MS, USA
| | - Mariza de Andrade
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, 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
- Department of Pediatrics, Lundquist Institute, Torrance, CA, USA
| | - Stephen S Rich
- Department of Public Health Sciences, Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
- University of Virginia, Charlottesville, VA, USA
| | - Russell P Tracy
- Department of Pathology and Laboratory Medicine and Biochemistry, Larner College of Medicine at the University of Vermont, Colchester, VT, USA
- Department of Pathology and Laboratory Medicine, University of Vermont, Burlington, VT, USA
| | - Barbara A Konkle
- Department of Cardiology, Clinical Sciences, Lund University and Skåne University Hospital, Lund, Sweden
- Blood Works Northwest, Seattle, WA, USA
| | - Jill M Johnsen
- Department of Cardiology, Clinical Sciences, Lund University and Skåne University Hospital, Lund, Sweden
- Research Institute, Bloodworks Northwest, Seattle, WA, USA
| | | | - J Gustav Smith
- Department of Cardiology, Clinical Sciences, Lund University and Skåne University Hospital, Lund, Sweden
- The Wallenberg Laboratory, Department of Molecular and Clinical Medicine, Institute of Medicine, Gothenburg University, Gothenburg, Sweden
- Wallenberg Center for Molecular Medicine and Lund University Diabetes Center, Lund University, Lund, Sweden
- Department of Cardiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Olle Melander
- Department of Internal Medicine, Clinical Sciences, Lund University and Skane University Hospital, Malmo, Sweden
| | - Peter M Nilsson
- Department of Internal Medicine, Clinical Sciences, Lund University and Skane University Hospital, Malmo, Sweden
| | | | - Ravindranath Duggirala
- Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Joanne E Curran
- Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
- University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - John Blangero
- Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Stephen McGarvey
- Department of Epidemiology and International Health Institute, Brown University School of Public Health, Providence, RI, USA
- Department of Epidemiology, Brown University, Providence, RI, USA
| | - L Keoki Williams
- Center for Individualized and Genomic Medicine Research (CIGMA), Department of Internal Medicine, Henry Ford Health System, Detroit, MI, USA
- Henry Ford Health System, Detroit, MI, USA
| | - Shujie Xiao
- Center for Individualized and Genomic Medicine Research (CIGMA), Department of Internal Medicine, Henry Ford Health System, Detroit, MI, USA
| | - Mao Yang
- Center for Individualized and Genomic Medicine Research (CIGMA), Department of Internal Medicine, Henry Ford Health System, Detroit, MI, USA
| | - C Charles Gu
- Division of Biostatistics, Washington University School of Medicine, St Louis, MO, USA
- Washington University in St Louis, St Louis, MO, 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
- Lundquist Institute, Torrance, CA, USA
| | - Wen-Jane Lee
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
- Taichung Veterans General Hospital Taiwan, Taichung City, Taiwan
| | - Gregory M Marcus
- Division of Cardiology, University of California, San Francisco, San Francisco, CA, USA
| | - John P Kane
- Department of Medicine, Cardiovascular Research Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Clive R Pullinger
- Cardiovascular Research Institute, University of California, San Francisco, USA
| | - M Benjamin Shoemaker
- Division of Cardiology, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Medicine and Cardiology, Vanderbilt University, Nashville, TN, USA
| | - Dawood Darbar
- Division of Cardiology, University of Illinois at Chicago, Chicago, IL, USA
- University of Illinois at Chicago, Chicago, IL, USA
| | - Dan M Roden
- Departments of Medicine, Pharmacology and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Christine Albert
- Department of Cardiology, Cedars-Sinai, Los Angeles, CA, USA
- Cedars-Sinai, Boston, MA, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Ying Zhou
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - JoAnn E Manson
- Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Pinkal Desai
- Division of Hematology and Oncology, Weill Cornell Medicine, New York, NY, USA
- Englander Institute of Precision Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Andrew D Johnson
- National Heart, Lung and Blood Institute, Population Sciences Branch, Framingham, MA, USA
- Population Sciences Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Rasika A Mathias
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Johns Hopkins University, Baltimore, MD, USA
| | - Thomas W Blackwell
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Goncalo R Abecasis
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Regeneron Pharmaceuticals, Tarrytown, NY, USA
| | - Albert V Smith
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Hyun M Kang
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Ansuman T Satpathy
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Pradeep Natarajan
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Jacob O Kitzman
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Eric A Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Alexander P Reiner
- Broad Institute, Cambridge, MA, USA
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Fred Hutchinson Cancer Research Center, University of Washington, Seattle, WA, USA
| | - Alexander G Bick
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University, Nashville, TN, USA.
| | - Siddhartha Jaiswal
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, USA.
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6
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Kim W, Hecker J, Barr RG, Boerwinkle E, Cade B, Correa A, Dupuis J, Gharib SA, Lange L, London SJ, Morrison AC, O'Connor GT, Oelsner EC, Psaty BM, Vasan RS, Redline S, Rich SS, Rotter JI, Yu B, Lange C, Manichaikul A, Zhou JJ, Sofer T, Silverman EK, Qiao D, Cho MH. Assessing the contribution of rare genetic variants to phenotypes of chronic obstructive pulmonary disease using whole-genome sequence data. Hum Mol Genet 2022; 31:3873-3885. [PMID: 35766891 PMCID: PMC9652112 DOI: 10.1093/hmg/ddac117] [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: 01/21/2022] [Revised: 04/13/2022] [Accepted: 05/16/2021] [Indexed: 01/04/2023] Open
Abstract
RATIONALE Genetic variation has a substantial contribution to chronic obstructive pulmonary disease (COPD) and lung function measurements. Heritability estimates using genome-wide genotyping data can be biased if analyses do not appropriately account for the nonuniform distribution of genetic effects across the allele frequency and linkage disequilibrium (LD) spectrum. In addition, the contribution of rare variants has been unclear. OBJECTIVES We sought to assess the heritability of COPD and lung function using whole-genome sequence data from the Trans-Omics for Precision Medicine program. METHODS Using the genome-based restricted maximum likelihood method, we partitioned the genome into bins based on minor allele frequency and LD scores and estimated heritability of COPD, FEV1% predicted and FEV1/FVC ratio in 11 051 European ancestry and 5853 African-American participants. MEASUREMENTS AND MAIN RESULTS In European ancestry participants, the estimated heritability of COPD, FEV1% predicted and FEV1/FVC ratio were 35.5%, 55.6% and 32.5%, of which 18.8%, 19.7%, 17.8% were from common variants, and 16.6%, 35.8%, and 14.6% were from rare variants. These estimates had wide confidence intervals, with common variants and some sets of rare variants showing a statistically significant contribution (P-value < 0.05). In African-Americans, common variant heritability was similar to European ancestry participants, but lower sample size precluded calculation of rare variant heritability. CONCLUSIONS Our study provides updated and unbiased estimates of heritability for COPD and lung function, and suggests an important contribution of rare variants. Larger studies of more diverse ancestry will improve accuracy of these estimates.
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Affiliation(s)
- Wonji Kim
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Julian Hecker
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - R Graham Barr
- Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY 10032, USA
| | - Eric Boerwinkle
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Brian Cade
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Adolfo Correa
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Josée Dupuis
- Department of Biostatistics, Boston University of Public Health, Boston, MA 02118, USA
| | - Sina A Gharib
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Washington, Seattle, WA 98109, USA
| | - Leslie Lange
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Stephanie J London
- Epidemiology Branch, National Institute of Environmental Health Sciences, Department of Health and Human Services, National Institutes of Health, Research Triangle Park, NC 27709, USA
| | - Alanna C Morrison
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - George T O'Connor
- Pulmonary Center, Boston University School of Medicine, Boston, MA 02118, USA
| | - Elizabeth C Oelsner
- Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY 10032, 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
| | - Ramachandran S Vasan
- Lung and Blood Institute Framingham Heart Study, Boston University and National Heart, Framingham, MA 01702, USA
- Department of Preventive Medicine and Epidemiology, School of Medicine and Public Health, Boston University, Boston, MA 02118, USA
| | - Susan Redline
- Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA 22908, 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
| | - Bing Yu
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Christoph Lange
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA
| | - Jin J Zhou
- Department of Epidemiology and Biostatistics, University of Arizona, Tucson, AZ 85721, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorder, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Dandi Qiao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
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7
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Jang SK, Evans L, Fialkowski A, Arnett DK, Ashley-Koch AE, Barnes KC, Becker DM, Bis JC, Blangero J, Bleecker ER, Boorgula MP, Bowden DW, Brody JA, Cade BE, Jenkins BWC, Carson AP, Chavan S, Cupples LA, Custer B, Damrauer SM, David SP, de Andrade M, Dinardo CL, Fingerlin TE, Fornage M, Freedman BI, Garrett ME, Gharib SA, Glahn DC, Haessler J, Heckbert SR, Hokanson JE, Hou L, Hwang SJ, Hyman MC, Judy R, Justice AE, Kaplan RC, Kardia SLR, Kelly S, Kim W, Kooperberg C, Levy D, Lloyd-Jones DM, Loos RJF, Manichaikul AW, Gladwin MT, Martin LW, Nouraie M, Melander O, Meyers DA, Montgomery CG, North KE, Oelsner EC, Palmer ND, Payton M, Peljto AL, Peyser PA, Preuss M, Psaty BM, Qiao D, Rader DJ, Rafaels N, Redline S, Reed RM, Reiner AP, Rich SS, Rotter JI, Schwartz DA, Shadyab AH, Silverman EK, Smith NL, Smith JG, Smith AV, Smith JA, Tang W, Taylor KD, Telen MJ, Vasan RS, Gordeuk VR, Wang Z, Wiggins KL, Yanek LR, Yang IV, Young KA, Young KL, Zhang Y, Liu DJ, Keller MC, Vrieze S. Rare genetic variants explain missing heritability in smoking. Nat Hum Behav 2022; 6:1577-1586. [PMID: 35927319 PMCID: PMC9985486 DOI: 10.1038/s41562-022-01408-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [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: 04/28/2021] [Accepted: 06/10/2022] [Indexed: 12/11/2022]
Abstract
Common genetic variants explain less variation in complex phenotypes than inferred from family-based studies, and there is a debate on the source of this 'missing heritability'. We investigated the contribution of rare genetic variants to tobacco use with whole-genome sequences from up to 26,257 unrelated individuals of European ancestries and 11,743 individuals of African ancestries. Across four smoking traits, single-nucleotide-polymorphism-based heritability ([Formula: see text]) was estimated from 0.13 to 0.28 (s.e., 0.10-0.13) in European ancestries, with 35-74% of it attributable to rare variants with minor allele frequencies between 0.01% and 1%. These heritability estimates are 1.5-4 times higher than past estimates based on common variants alone and accounted for 60% to 100% of our pedigree-based estimates of narrow-sense heritability ([Formula: see text], 0.18-0.34). In the African ancestry samples, [Formula: see text] was estimated from 0.03 to 0.33 (s.e., 0.09-0.14) across the four smoking traits. These results suggest that rare variants are important contributors to the heritability of smoking.
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Affiliation(s)
- Seon-Kyeong Jang
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Luke Evans
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
- Department of Ecology & Evolution, University of Colorado Boulder, Boulder, CO, USA
| | | | - Donna K Arnett
- Dean's Office, University of Kentucky College of Public Health, Lexington, KY, USA
| | | | - Kathleen C Barnes
- Division of Biomedical Informatics & Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Diane M Becker
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - John Blangero
- Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | | | - Meher Preethi Boorgula
- Division of Biomedical Informatics & Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Donald W Bowden
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Brian E Cade
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Brenda W Campbell Jenkins
- Jackson Heart Study Graduate Training and Education Center, Jackson State University School of Public Health, Jackson, MS, USA
| | - April P Carson
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Sameer Chavan
- Division of Biomedical Informatics & Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - L Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Brian Custer
- Vitalant Research Institute, San Francisco, CA, USA
| | - Scott M Damrauer
- Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Surgery, Corporal Michael Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Sean P David
- Department of Family Medicine, Prtizker School of Medicine, University of Chicago, Chicago, IL, USA
- NorthShore University HealthSystem, Evanston, IL, USA
| | - Mariza de Andrade
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | | | - Tasha E Fingerlin
- Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Center for Genes Environment and Health, National Jewish Health, Denver, CO, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Barry I Freedman
- Section on Nephrology, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Melanie E Garrett
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Sina A Gharib
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Center for Lung Biology, Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA, USA
| | - David C Glahn
- Department of Psychiatry, Boston Children's Hosptial and Harvard Medical School, Boston, MA, USA
| | - Jeffrey Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Susan R Heckbert
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA
| | - John E Hokanson
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University, Chicago, IL, USA
| | - Shih-Jen Hwang
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Matthew C Hyman
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Renae Judy
- Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Anne E Justice
- Department of Population Health Sciences, Geisinger Health System, Danville, PA, USA
| | - Robert C Kaplan
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Shannon Kelly
- Department of Pediatrics, UCSF Benioff Children's Hospital Oakland, Oakland, CA, USA
| | - Wonji Kim
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 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
| | | | - Ruth J F Loos
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ani W Manichaikul
- Center for Public Health Genomics, School of Medicine, University of Virginia, Charlottesville, VA, USA
| | - Mark T Gladwin
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | | | - Mehdi Nouraie
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Olle Melander
- Department of Clinical Sciences, Lund University, Malmö, Sweden
- Department of Internal Medicine, Skåne University Hospital, Malmö, Sweden
| | | | - Courtney G Montgomery
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Kari E North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Elizabeth C Oelsner
- Division of General Medicine, Columbia University Irving Medical Center, Columbia University, New York, NY, USA
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Marinelle Payton
- Department of Epidemiology and Biostatistics, Jackson Heart Study Graduate Training and Education Center, Jackson State University School of Public Health, Jackson, MS, USA
| | - Anna L Peljto
- Department of Medicine, University of Colorado School of Medicine, Aurora, CO, USA
| | - Patricia A Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Michael Preuss
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, Epidemiology and Health Services, University of Washington, Seattle, WA, USA
| | - Dandi Qiao
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Daniel J Rader
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Nicholas Rafaels
- Division of Biomedical Informatics & Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Susan Redline
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Robert M Reed
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - Alexander P Reiner
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Stephen S Rich
- Center for Public Health Genomics, School of Medicine, University of Virginia, Charlottesville, VA, USA
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - David A Schwartz
- Department of Medicine, School of Medicine, University of Colorado Denver, Aurora, CO, USA
- Department of Immunology, School of Medicine, University of Colorado Denver, Aurora, CO, USA
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Nicholas L Smith
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA
| | - J Gustav Smith
- Wallenberg Laboratory/Department of Molecular and Clinical Medicine, Institute of Medicine, Gothenburg University, Gothenburg, Sweden
- Department of Cardiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Albert V Smith
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Weihong Tang
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Kent D Taylor
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Marilyn J Telen
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Ramachandran S Vasan
- Sections of Preventive Medicine and Epidemiology and Cardiovascular Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Victor R Gordeuk
- Department of Medicine, University of Illinois at Chicago, Chicago, IL, USA
| | - Zhe Wang
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kerri L Wiggins
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Lisa R Yanek
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ivana V Yang
- Department of Medicine, University of Colorado School of Medicine, Aurora, CO, USA
| | - Kendra A Young
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Kristin L Young
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Yingze Zhang
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Dajiang J Liu
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Matthew C Keller
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - Scott Vrieze
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA.
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8
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Hecker J, Prokopenko D, Moll M, Lee S, Kim W, Qiao D, Voorhies K, Kim W, Vansteelandt S, Hobbs BD, Cho MH, Silverman EK, Lutz SM, DeMeo DL, Weiss ST, Lange C. A robust and adaptive framework for interaction testing in quantitative traits between multiple genetic loci and exposure variables. PLoS Genet 2022; 18:e1010464. [PMID: 36383614 PMCID: PMC9668174 DOI: 10.1371/journal.pgen.1010464] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 10/04/2022] [Indexed: 11/17/2022] Open
Abstract
The identification and understanding of gene-environment interactions can provide insights into the pathways and mechanisms underlying complex diseases. However, testing for gene-environment interaction remains a challenge since a.) statistical power is often limited and b.) modeling of environmental effects is nontrivial and such model misspecifications can lead to false positive interaction findings. To address the lack of statistical power, recent methods aim to identify interactions on an aggregated level using, for example, polygenic risk scores. While this strategy can increase the power to detect interactions, identifying contributing genes and pathways is difficult based on these relatively global results. Here, we propose RITSS (Robust Interaction Testing using Sample Splitting), a gene-environment interaction testing framework for quantitative traits that is based on sample splitting and robust test statistics. RITSS can incorporate sets of genetic variants and/or multiple environmental factors. Based on the user's choice of statistical/machine learning approaches, a screening step selects and combines potential interactions into scores with improved interpretability. In the testing step, the application of robust statistics minimizes the susceptibility to main effect misspecifications. Using extensive simulation studies, we demonstrate that RITSS controls the type 1 error rate in a wide range of scenarios, and we show how the screening strategy influences statistical power. In an application to lung function phenotypes and human height in the UK Biobank, RITSS identified highly significant interactions based on subcomponents of genetic risk scores. While the contributing single variant interaction signals are weak, our results indicate interaction patterns that result in strong aggregated effects, providing potential insights into underlying gene-environment interaction mechanisms.
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Affiliation(s)
- Julian Hecker
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
| | - Dmitry Prokopenko
- Harvard Medical School, Boston, Massachusetts, United States of America
- Genetics and Aging Unit and McCance Center for Brain Health, Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Matthew Moll
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
| | - Sanghun Lee
- Department of Medical Consilience, Division of Medicine, Graduate School, Dankook University, Yongin, South Korea
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Wonji Kim
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
| | - Dandi Qiao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
| | - Kirsten Voorhies
- Harvard Medical School, Boston, Massachusetts, United States of America
- Department of Population Medicine, PRecisiOn Medicine Translational Research (PROMoTeR) Center, Harvard Pilgrim Health Care, Boston, Massachusetts, United States of America
| | - Woori Kim
- Harvard Medical School, Boston, Massachusetts, United States of America
- Systems Biology and Computer Science Program, Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
| | - Stijn Vansteelandt
- Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Gent, Belgium
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Brian D. Hobbs
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
| | - Michael H. Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
| | - Edwin K. Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
| | - Sharon M. Lutz
- Harvard Medical School, Boston, Massachusetts, United States of America
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Department of Population Medicine, PRecisiOn Medicine Translational Research (PROMoTeR) Center, Harvard Pilgrim Health Care, Boston, Massachusetts, United States of America
| | - Dawn L. DeMeo
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
| | - Scott T. Weiss
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
| | - Christoph Lange
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
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9
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Wang XW, Qiao D, Cho MH, DeMeo DL, Silverman EK, Liu YY. A statistical physics approach for disease module detection. Genome Res 2022; 32:1918-1929. [PMID: 36220609 PMCID: PMC9712625 DOI: 10.1101/gr.276690.122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 08/23/2022] [Indexed: 11/24/2022]
Abstract
Extensive evidence indicates that the pathobiological processes of a complex disease are associated with perturbation in specific neighborhoods of the human protein-protein interaction (PPI) network (also known as the interactome), often referred to as the disease module. Many computational methods have been developed to integrate the interactome and omics profiles to extract context-dependent disease modules. Yet, existing methods all have fundamental limitations in terms of rigor and/or efficiency. Here, we developed a statistical physics approach based on the random-field Ising model (RFIM) for disease module detection, which is both mathematically rigorous and computationally efficient. We applied our RFIM approach to genome-wide association studies (GWAS) of ten complex diseases to examine its performance for disease module detection. We found that our RFIM approach outperforms existing methods in terms of computational efficiency, connectivity of disease modules, and robustness to the interactome incompleteness.
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Affiliation(s)
- Xu-Wen Wang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Dandi Qiao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Dawn L DeMeo
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Yang-Yu Liu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA
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10
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Carnovale V, Iacotucci P, Qiao D, Ferrillo L, Somma J, Buonaurio S, Marcella d’Ippolito, Celardo A, Savi D. Clinical outcomes of digital health in adults with cystic fibrosis. Respir Med 2022; 202:106970. [DOI: 10.1016/j.rmed.2022.106970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 07/26/2022] [Accepted: 08/24/2022] [Indexed: 11/29/2022]
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11
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Carnovale V, Iacotucci P, Qiao D, Ferrillo L, Somma J, Buonaurio S, D'Ippolito M, Celardo A, Savi D. 136 Long-term clinical impact of a virtual model of care in cystic fibrosis. J Cyst Fibros 2022. [DOI: 10.1016/s1569-1993(22)00827-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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12
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Zhang J, Xu H, Qiao D, DeMeo DL, Silverman EK, O’Connor GT, Hobbs BD, Dupuis J, Cho MH, Moll M. A polygenic risk score and age of diagnosis of COPD. Eur Respir J 2022; 60:2101954. [PMID: 35115341 PMCID: PMC9969342 DOI: 10.1183/13993003.01954-2021] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [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: 07/12/2021] [Accepted: 01/14/2022] [Indexed: 01/19/2023]
Abstract
BACKGROUND Genetic susceptibility may be associated with earlier onset of chronic obstructive pulmonary disease (COPD). We hypothesised that a polygenic risk score (PRS) for COPD would be associated with earlier age of diagnosis of COPD. METHODS In 6647 non-Hispanic White (NHW) and 2464 African American (AA) participants from COPDGene, and 6812 participants from the Framingham Heart Study (FHS), we tested the relationship of the PRS and age of COPD diagnosis. Age at diagnosis was determined by: 1) self-reported age at COPD diagnosis or 2) age at visits when moderate-to-severe airflow limitation (Global Initiative for Chronic Obstructive Lung Disease (GOLD) grade 2-4) was observed on spirometry. We used Cox regression to examine the overall and time-dependent effects of the PRS on incident COPD. In the COPDGene study, we also examined the PRS's predictive value for COPD at age <50 years (COPD50) using logistic regression and area under the curve (AUC) analyses, with and without the addition of other risk factors present at early life (e.g. childhood asthma). RESULTS In Cox models, the PRS demonstrated age-dependent associations with incident COPD, with larger effects at younger ages in both cohorts. The PRS was associated with COPD50 (OR 1.55 (95% CI 1.41-1.71) for NHW, OR 1.23 (95% CI 1.05-1.43) for AA and OR 2.47 (95% CI 2.12-2.88) for FHS participants). In COPDGene, adding the PRS to known early-life risk factors improved prediction of COPD50 in NHW (AUC 0.69 versus 0.74; p<0.0001) and AA (AUC 0.61 versus 0.64; p=0.04) participants. CONCLUSIONS A COPD PRS is associated with earlier age of diagnosis of COPD and retains predictive value when added to known early-life risk factors.
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Affiliation(s)
- Jingzhou Zhang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115
- The Pulmonary Center, Section of Pulmonary, Allergy, Sleep, and Critical Care Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA 02118
| | - Hanfei Xu
- Department of Biostatistics, Boston University School of Public Health, MA 02118
| | - Dandi Qiao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115
| | - Dawn L. DeMeo
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115
| | - Edwin K. Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115
| | - George T. O’Connor
- The Pulmonary Center, Section of Pulmonary, Allergy, Sleep, and Critical Care Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA 02118
| | - Brian D. Hobbs
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, MA 02118
| | - Michael H. Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115
| | - Matthew Moll
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115
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13
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Putman RK, Axelsson GT, Ash SY, Sanders JL, Menon AA, Araki T, Nishino M, Yanagawa M, Gudmundsson EF, Qiao D, San José Estépar R, Dupuis J, O'Connor GT, Rosas IO, Washko GR, El-Chemaly S, Raby BA, Gudnason V, DeMeo DL, Silverman EK, Hatabu H, De Vivo I, Cho MH, Gudmundsson G, Hunninghake GM. Interstitial lung abnormalities are associated with decreased mean telomere length. Eur Respir J 2022; 60:2101814. [PMID: 35115336 PMCID: PMC10052789 DOI: 10.1183/13993003.01814-2021] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [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: 06/27/2021] [Accepted: 12/29/2021] [Indexed: 11/05/2022]
Abstract
BACKGROUND Interstitial lung abnormalities (ILA) share many features with idiopathic pulmonary fibrosis; however, it is not known if ILA are associated with decreased mean telomere length (MTL). METHODS Telomere length was measured with quantitative PCR in the Genetic Epidemiology of Chronic Obstructive Pulmonary Disease (COPDGene) and Age Gene/Environment Susceptibility Reykjavik (AGES-Reykjavik) cohorts and Southern blot analysis was used in the Framingham Heart Study (FHS). Logistic and linear regression were used to assess the association between ILA and MTL; Cox proportional hazards models were used to assess the association between MTL and mortality. RESULTS In all three cohorts, ILA were associated with decreased MTL. In the COPDGene and AGES-Reykjavik cohorts, after adjustment there was greater than twofold increase in the odds of ILA when comparing the shortest quartile of telomere length to the longest quartile (OR 2.2, 95% CI 1.5-3.4, p=0.0001, and OR 2.6, 95% CI 1.4-4.9, p=0.003, respectively). In the FHS, those with ILA had shorter telomeres than those without ILA (-767 bp, 95% CI 76-1584 bp, p=0.03). Although decreased MTL was associated with chronic obstructive pulmonary disease (OR 1.3, 95% CI 1.1-1.6, p=0.01) in COPDGene, the effect estimate was less than that noted with ILA. There was no consistent association between MTL and risk of death when comparing the shortest quartile of telomere length in COPDGene and AGES-Reykjavik (HR 0.82, 95% CI 0.4-1.7, p=0.6, and HR 1.2, 95% CI 0.6-2.2, p=0.5, respectively). CONCLUSION ILA are associated with decreased MTL.
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Affiliation(s)
- Rachel K Putman
- Pulmonary and Critical Care Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Gisli Thor Axelsson
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
- Icelandic Heart Association, Kopavogur, Iceland
| | - Samuel Y Ash
- Pulmonary and Critical Care Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jason L Sanders
- Pulmonary and Critical Care Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Aravind A Menon
- Pulmonary and Critical Care Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Tetsuro Araki
- Dept of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Center for Pulmonary Functional Imaging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Mizuki Nishino
- Dept of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Center for Pulmonary Functional Imaging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Masahiro Yanagawa
- Dept of Radiology, Graduate School of Medicine, Osaka University, Osaka, Japan
| | | | - Dandi Qiao
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Raúl San José Estépar
- Dept of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Josée Dupuis
- Dept of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - George T O'Connor
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, USA
| | - Ivan O Rosas
- Pulmonary and Critical Care Division, Baylor University Medical Center, Houston, TX, USA
| | - George R Washko
- Pulmonary and Critical Care Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Souheil El-Chemaly
- Pulmonary and Critical Care Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Benjamin A Raby
- Pulmonary and Critical Care Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Division of Pulmonary and Respiratory Diseases, Boston Children's Hospital, Boston, MA, USA
| | | | - Dawn L DeMeo
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Hiroto Hatabu
- Dept of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Center for Pulmonary Functional Imaging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Immaculata De Vivo
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Michael H Cho
- Pulmonary and Critical Care Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Gunnar Gudmundsson
- Icelandic Heart Association, Kopavogur, Iceland
- Dept of Respiratory Medicine, Landspitali - The National University Hospital of Iceland, Reykjavik, Iceland
| | - Gary M Hunninghake
- Pulmonary and Critical Care Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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14
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Saferali A, Qiao D, Kim W, Raraigh K, Levy H, Diaz AA, Cutting GR, Cho MH, Hersh CP. C FTR variants are associated with chronic bronchitis in smokers. Eur Respir J 2022; 60:2101994. [PMID: 34996830 PMCID: PMC9840463 DOI: 10.1183/13993003.01994-2021] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [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: 08/03/2021] [Accepted: 12/14/2021] [Indexed: 01/17/2023]
Abstract
INTRODUCTION Loss-of-function variants in both copies of the cystic fibrosis transmembrane conductance regulator (CFTR) gene cause cystic fibrosis (CF); however, there is evidence that reduction in CFTR function due to the presence of one deleterious variant can have clinical consequences. Here, we hypothesise that CFTR variants in individuals with a history of smoking are associated with chronic obstructive pulmonary disease (COPD) and related phenotypes. METHODS Whole-genome sequencing was performed through the National Heart, Lung, and Blood Institute TOPMed (TransOmics in Precision Medicine) programme in 8597 subjects from the COPDGene (Genetic Epidemiology of COPD) study, an observational study of current and former smokers. We extracted clinically annotated CFTR variants and performed single-variant and variant-set testing for COPD and related phenotypes. Replication was performed in 2118 subjects from the ECLIPSE (Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints) study. RESULTS We identified 301 coding variants within the CFTR gene boundary: 147 of these have been reported in individuals with CF, including 36 CF-causing variants. We found that CF-causing variants were associated with chronic bronchitis in variant-set testing in COPDGene (one-sided p=0.0025; OR 1.53) and in meta-analysis of COPDGene and ECLIPSE (one-sided p=0.0060; OR 1.52). Single-variant testing revealed that the F508del variant was associated with chronic bronchitis in COPDGene (one-sided p=0.015; OR 1.47). In addition, we identified 32 subjects with two or more CFTR variants on separate alleles and these subjects were enriched for COPD cases (p=0.010). CONCLUSIONS Cigarette smokers who carry one deleterious CFTR variant have higher rates of chronic bronchitis, while presence of two CFTR variants may be associated with COPD. These results indicate that genetically mediated reduction in CFTR function contributes to COPD related phenotypes, in particular chronic bronchitis.
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Affiliation(s)
- Aabida Saferali
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Dandi Qiao
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Wonji Kim
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Karen Raraigh
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Hara Levy
- Division of Pulmonary Medicine, Dept of Pediatrics, National Jewish Health, Denver, CO, USA
| | - Alejandro A Diaz
- Harvard Medical School, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Garry R Cutting
- Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Craig P Hersh
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
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15
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Boueiz A, Xu Z, Chang Y, Masoomi A, Gregory A, Lutz S, Qiao D, Crapo JD, Dy JG, Silverman EK, Castaldi PJ. Machine Learning Prediction of Progression in Forced Expiratory Volume in 1 Second in the COPDGene® Study. Chronic Obstr Pulm Dis 2022; 9:349-365. [PMID: 35649102 PMCID: PMC9448009 DOI: 10.15326/jcopdf.2021.0275] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 05/18/2022] [Indexed: 05/24/2023]
Abstract
BACKGROUND The heterogeneous nature of chronic obstructive pulmonary disease (COPD) complicates the identification of the predictors of disease progression. We aimed to improve the prediction of disease progression in COPD by using machine learning and incorporating a rich dataset of phenotypic features. METHODS We included 4496 smokers with available data from their enrollment and 5-year follow-up visits in the COPD Genetic Epidemiology (COPDGene®) study. We constructed linear regression (LR) and supervised random forest models to predict 5-year progression in forced expiratory in 1 second (FEV1) from 46 baseline features. Using cross-validation, we randomly partitioned participants into training and testing samples. We also validated the results in the COPDGene 10-year follow-up visit. RESULTS Predicting the change in FEV1 over time is more challenging than simply predicting the future absolute FEV1 level. For random forest, R-squared was 0.15 and the area under the receiver operator characteristic (ROC) curves for the prediction of participants in the top quartile of observed progression was 0.71 (testing) and respectively, 0.10 and 0.70 (validation). Random forest provided slightly better performance than LR. The accuracy was best for Global initiative for chronic Obstructive Lung Disease (GOLD) grades 1-2 participants, and it was harder to achieve accurate prediction in advanced stages of the disease. Predictive variables differed in their relative importance as well as for the predictions by GOLD. CONCLUSION Random forest, along with deep phenotyping, predicts FEV1 progression with reasonable accuracy. There is significant room for improvement in future models. This prediction model facilitates the identification of smokers at increased risk for rapid disease progression. Such findings may be useful in the selection of patient populations for targeted clinical trials.
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Affiliation(s)
- Adel Boueiz
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States
- Pulmonary and Critical Care Division, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States
- *These authors contributed equally
| | - Zhonghui Xu
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States
- *These authors contributed equally
| | - Yale Chang
- Department of Electrical and Computer Engineering, Northeastern University, Boston, Massachusetts, United States
| | - Aria Masoomi
- Department of Electrical and Computer Engineering, Northeastern University, Boston, Massachusetts, United States
| | - Andrew Gregory
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States
| | - Sharon Lutz
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States
| | - Dandi Qiao
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States
| | - James D. Crapo
- Division of Pulmonary Medicine, Department of Medicine, National Jewish Health, Denver, Colorado, United States
| | - Jennifer G. Dy
- Department of Electrical and Computer Engineering, Northeastern University, Boston, Massachusetts, United States
| | - Edwin K. Silverman
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States
- Pulmonary and Critical Care Division, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States
| | - Peter J. Castaldi
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States
- Division of General Medicine and Primary Care, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States
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16
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Hu X, Qiao D, Kim W, Moll M, Balte PP, Lange LA, Bartz TM, Kumar R, Li X, Yu B, Cade BE, Laurie CA, Sofer T, Ruczinski I, Nickerson DA, Muzny DM, Metcalf GA, Doddapaneni H, Gabriel S, Gupta N, Dugan-Perez S, Cupples LA, Loehr LR, Jain D, Rotter JI, Wilson JG, Psaty BM, Fornage M, Morrison AC, Vasan RS, Washko G, Rich SS, O'Connor GT, Bleecker E, Kaplan RC, Kalhan R, Redline S, Gharib SA, Meyers D, Ortega V, Dupuis J, London SJ, Lappalainen T, Oelsner EC, Silverman EK, Barr RG, Thornton TA, Wheeler HE, Cho MH, Im HK, Manichaikul A. Polygenic transcriptome risk scores for COPD and lung function improve cross-ethnic portability of prediction in the NHLBI TOPMed program. Am J Hum Genet 2022; 109:857-870. [PMID: 35385699 PMCID: PMC9118106 DOI: 10.1016/j.ajhg.2022.03.007] [Citation(s) in RCA: 6] [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] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 03/04/2022] [Indexed: 12/17/2022] Open
Abstract
While polygenic risk scores (PRSs) enable early identification of genetic risk for chronic obstructive pulmonary disease (COPD), predictive performance is limited when the discovery and target populations are not well matched. Hypothesizing that the biological mechanisms of disease are shared across ancestry groups, we introduce a PrediXcan-derived polygenic transcriptome risk score (PTRS) to improve cross-ethnic portability of risk prediction. We constructed the PTRS using summary statistics from application of PrediXcan on large-scale GWASs of lung function (forced expiratory volume in 1 s [FEV1] and its ratio to forced vital capacity [FEV1/FVC]) in the UK Biobank. We examined prediction performance and cross-ethnic portability of PTRS through smoking-stratified analyses both on 29,381 multi-ethnic participants from TOPMed population/family-based cohorts and on 11,771 multi-ethnic participants from TOPMed COPD-enriched studies. Analyses were carried out for two dichotomous COPD traits (moderate-to-severe and severe COPD) and two quantitative lung function traits (FEV1 and FEV1/FVC). While the proposed PTRS showed weaker associations with disease than PRS for European ancestry, the PTRS showed stronger association with COPD than PRS for African Americans (e.g., odds ratio [OR] = 1.24 [95% confidence interval [CI]: 1.08-1.43] for PTRS versus 1.10 [0.96-1.26] for PRS among heavy smokers with ≥ 40 pack-years of smoking) for moderate-to-severe COPD. Cross-ethnic portability of the PTRS was significantly higher than the PRS (paired t test p < 2.2 × 10-16 with portability gains ranging from 5% to 28%) for both dichotomous COPD traits and across all smoking strata. Our study demonstrates the value of PTRS for improved cross-ethnic portability compared to PRS in predicting COPD risk.
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Affiliation(s)
- Xiaowei Hu
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA
| | - Dandi Qiao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Wonji Kim
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Matthew Moll
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Pallavi P Balte
- Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY 10032, USA
| | - Leslie A Lange
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Traci M Bartz
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA; Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
| | - Rajesh Kumar
- Division of Allergy and Clinical Immunology, Ann and Robert H. Lurie Children's Hospital, Chicago, IL 60611, USA; Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Xingnan Li
- Department of Medicine, University of Arizona, Tucson, AZ 85724, 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 77030, USA
| | - Brian E Cade
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA; Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Cecelia A Laurie
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Tamar Sofer
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA; Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Deborah A Nickerson
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Donna M Muzny
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Ginger A Metcalf
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | | | - Stacy Gabriel
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Namrata Gupta
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Shannon Dugan-Perez
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - L Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Laura R Loehr
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Deepti Jain
- Department of Biostatistics, University of Washington, Seattle, WA 98195, 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
| | - James G Wilson
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA 02115, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle, WA 98101, 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 77030, USA; Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, 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 77030, USA
| | - Ramachandran S Vasan
- Boston University and the National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA 01702, USA; Department of Preventive Medicine and Epidemiology, School of Medicine and Public Health, Boston University, Boston, MA 02118, USA
| | - George Washko
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA
| | - George T O'Connor
- Pulmonary Center, Boston University, School of Medicine, Boston, MA 02118, USA
| | - Eugene Bleecker
- Department of Medicine, University of Arizona, Tucson, AZ 85724, USA
| | - Robert C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Ravi Kalhan
- Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Susan Redline
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA; Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Sina A Gharib
- Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA 98109, USA
| | - Deborah Meyers
- Department of Medicine, University of Arizona, Tucson, AZ 85724, USA
| | - Victor Ortega
- Pulmonary and Critical Care, School of Medicine, Wake Forest University, Winston-Salem, NC 27157, USA
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Stephanie J London
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Durham, NC 27709, USA
| | - Tuuli Lappalainen
- New York Genome Center, New York, NY 10013, USA; Department of Systems Biology, Columbia University, New York, NY 10032, USA
| | - Elizabeth C Oelsner
- Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY 10032, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - R Graham Barr
- Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY 10032, USA
| | - Timothy A Thornton
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Heather E Wheeler
- Department of Biology, Loyola University Chicago, Chicago, IL 60660, USA
| | | | - Michael H Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Hae Kyung Im
- Section of Genetic Medicine, The University of Chicago, Chicago, IL 60637, USA
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA.
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17
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Nakao T, Bick AG, Taub MA, Zekavat SM, Uddin MM, Niroula A, Carty CL, Lane J, Honigberg MC, Weinstock JS, Pampana A, Gibson CJ, Griffin GK, Clarke SL, Bhattacharya R, Assimes TL, Emery LS, Stilp AM, Wong Q, Broome J, Laurie CA, Khan AT, Smith AV, Blackwell TW, Codd V, Nelson CP, Yoneda ZT, Peralta JM, Bowden DW, Irvin MR, Boorgula M, Zhao W, Yanek LR, Wiggins KL, Hixson JE, Gu CC, Peloso GM, Roden DM, Reupena MS, Hwu CM, DeMeo DL, North KE, Kelly S, Musani SK, Bis JC, Lloyd-Jones DM, Johnsen JM, Preuss M, Tracy RP, Peyser PA, Qiao D, Desai P, Curran JE, Freedman BI, Tiwari HK, Chavan S, Smith JA, Smith NL, Kelly TN, Hidalgo B, Cupples LA, Weeks DE, Hawley NL, Minster RL, Deka R, Naseri TT, de las Fuentes L, Raffield LM, Morrison AC, Vries PS, Ballantyne CM, Kenny EE, Rich SS, Whitsel EA, Cho MH, Shoemaker MB, Pace BS, Blangero J, Palmer ND, Mitchell BD, Shuldiner AR, Barnes KC, Redline S, Kardia SL, Abecasis GR, Becker LC, Heckbert SR, He J, Post W, Arnett DK, Vasan RS, Darbar D, Weiss ST, McGarvey ST, de Andrade M, Chen YDI, Kaplan RC, Meyers DA, Custer BS, Correa A, Psaty BM, Fornage M, Manson JE, Boerwinkle E, Konkle BA, Loos RJ, Rotter JI, Silverman EK, Kooperberg C, Danesh J, Samani NJ, Jaiswal S, Libby P, Ellinor PT, Pankratz N, Ebert BL, Reiner AP, Mathias RA, Do R, Natarajan P. Mendelian randomization supports bidirectional causality between telomere length and clonal hematopoiesis of indeterminate potential. Sci Adv 2022; 8:eabl6579. [PMID: 35385311 PMCID: PMC8986098 DOI: 10.1126/sciadv.abl6579] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 02/16/2022] [Indexed: 05/24/2023]
Abstract
Human genetic studies support an inverse causal relationship between leukocyte telomere length (LTL) and coronary artery disease (CAD), but directionally mixed effects for LTL and diverse malignancies. Clonal hematopoiesis of indeterminate potential (CHIP), characterized by expansion of hematopoietic cells bearing leukemogenic mutations, predisposes both hematologic malignancy and CAD. TERT (which encodes telomerase reverse transcriptase) is the most significantly associated germline locus for CHIP in genome-wide association studies. Here, we investigated the relationship between CHIP, LTL, and CAD in the Trans-Omics for Precision Medicine (TOPMed) program (n = 63,302) and UK Biobank (n = 47,080). Bidirectional Mendelian randomization studies were consistent with longer genetically imputed LTL increasing propensity to develop CHIP, but CHIP then, in turn, hastens to shorten measured LTL (mLTL). We also demonstrated evidence of modest mediation between CHIP and CAD by mLTL. Our data promote an understanding of potential causal relationships across CHIP and LTL toward prevention of CAD.
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Affiliation(s)
- Tetsushi Nakao
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Alexander G. Bick
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University, Nashville, TN, USA
| | - Margaret A. Taub
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | - Md M. Uddin
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Abhishek Niroula
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Laboratory Medicine, Lund University, Lund, Sweden
| | - Cara L. Carty
- Initiative for Research and Education to Advance Community Health, Washington State University, Seattle, WA, USA
| | - John Lane
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Michael C. Honigberg
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Joshua S. Weinstock
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Akhil Pampana
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | | | - Gabriel K. Griffin
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Pathology, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA, USA
| | - Shoa L. Clarke
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Romit Bhattacharya
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Division of Cardiology, Massachusetts General Hospital, Boston, MA, USA
| | - Themistocles L. Assimes
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Leslie S. Emery
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Adrienne M. Stilp
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Quenna Wong
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Jai Broome
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Cecelia A. Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Alyna T. Khan
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Albert V. Smith
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Thomas W. Blackwell
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Veryan Codd
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- National Institute for Health Research Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Christopher P. Nelson
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- National Institute for Health Research Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Zachary T. Yoneda
- Division of Cardiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Juan M. Peralta
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Donald W. Bowden
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Marguerite R. Irvin
- Department of Biostatistics, School of Public Health, University of Alabama, Birmingham, AL, USA
| | - Meher Boorgula
- Division of Biomedical Informatics and Personalized Medicine and the Colorado Center for Personalized Medicine, School of Medicine, University of Colorado, Aurora, CO, USA
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Lisa R. Yanek
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kerri L. Wiggins
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - James E. Hixson
- 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
| | - C. Charles Gu
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Gina M. Peloso
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Dan M. Roden
- Departments of Medicine, Pharmacology, and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Chii-Min Hwu
- Section of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- School of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Dawn L. DeMeo
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Kari E. North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Shannon Kelly
- Vitalant Research Institute, San Francisco, CA, USA
- UCSF, Benioff Children’s Hospital Oakland, Oakland, CA, USA
| | - Solomon K. Musani
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Joshua C. Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Donald M. Lloyd-Jones
- Division of Cardiology Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | | | - Michael Preuss
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Russell P. Tracy
- Department of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, VT, USA
- Department of Pathology and Biochemistry, University of Vermont College of Medicine, Burlington, VT, USA
| | - Patricia A. Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Dandi Qiao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Pinkal Desai
- Division of Hematology and Oncology, Weill Cornell Medical College, New York, NY, 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
| | - Barry I. Freedman
- Internal Medicine–Nephrology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Hemant K. Tiwari
- Department of Epidemiology, School of Public Health, University of Alabama, Birmingham, AL, USA
| | - Sameer Chavan
- Division of Biomedical Informatics and Personalized Medicine and the Colorado Center for Personalized Medicine, School of Medicine, University of Colorado, Aurora, CO, 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
| | - Nicholas L. Smith
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
- Seattle Epidemiologic Research and Information Center, Department of Veterans Affairs Office of Research and Development, Seattle, WA, USA
| | - Tanika N. Kelly
- 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
| | - Bertha Hidalgo
- Department of Epidemiology, School of Public Health, University of Alabama, Birmingham, AL, USA
| | - L. Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- National Heart Lung and Blood Institute, Boston University’s Framingham Heart Study, Framingham, MA, USA
| | - Daniel E. Weeks
- Department of Human Genetics and Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Nicola L. Hawley
- Department of Chronic Disease Epidemiology, Yale University, New Haven, CT, USA
| | - Ryan L. Minster
- Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA, USA
| | - The Samoan Obesity, Lifestyle and Genetic Adaptations Study (OLaGA) Group
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University, Nashville, TN, USA
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Yale University School of Medicine, New Haven, CT, USA
- Department of Laboratory Medicine, Lund University, Lund, Sweden
- Initiative for Research and Education to Advance Community Health, Washington State University, Seattle, WA, USA
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Pathology, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Division of Cardiology, Massachusetts General Hospital, Boston, MA, USA
- VA Palo Alto Health Care System, Palo Alto, CA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- National Institute for Health Research Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
- Division of Cardiology, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Biostatistics, School of Public Health, University of Alabama, Birmingham, AL, USA
- Division of Biomedical Informatics and Personalized Medicine and the Colorado Center for Personalized Medicine, School of Medicine, University of Colorado, Aurora, CO, USA
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Medicine, University of Washington, Seattle, WA, 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
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Departments of Medicine, Pharmacology, and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
- Ministry of Health, Government of Samoa, Apia, Samoa
- Section of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- School of Medicine, National Yang-Ming University, Taipei, Taiwan
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
- Vitalant Research Institute, San Francisco, CA, USA
- UCSF, Benioff Children’s Hospital Oakland, Oakland, CA, USA
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Division of Cardiology Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Bloodworks Northwest Research Institute, Seattle, WA, USA
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, VT, USA
- Department of Pathology and Biochemistry, University of Vermont College of Medicine, Burlington, VT, USA
- Division of Hematology and Oncology, Weill Cornell Medical College, New York, NY, USA
- Internal Medicine–Nephrology, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Epidemiology, School of Public Health, University of Alabama, Birmingham, AL, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
- Seattle Epidemiologic Research and Information Center, Department of Veterans Affairs Office of Research and Development, Seattle, WA, USA
- 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
- National Heart Lung and Blood Institute, Boston University’s Framingham Heart Study, Framingham, MA, USA
- Department of Human Genetics and Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Chronic Disease Epidemiology, Yale University, New Haven, CT, USA
- Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Environmental Health, University of Cincinnati, Cincinnati, OH, USA
- Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Department of Health, American Samoa Government, Pago Pago, American Samoa, USA
- Cardiovascular Division, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
- Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, USA
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Hematology/Oncology, Department of Pediatrics, Augusta University, Augusta, GA, USA
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD, USA
- Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD, USA
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Regeneron Pharmaceuticals, Tarrytown, NY, USA
- Department of Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, MD, USA
- Dean’s Office, College of Public Health, University of Kentucky, Lexington, KY, USA
- Departments of Cardiology and Preventive Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
- Division of Cardiology, University of Illinois at Chicago, Chicago, IL, USA
- Department of Epidemiology and International Health Institute, Brown University School of Public Health, Providence, RI, USA
- Mayo Clinic, Department of Health Sciences Research, Rochester, MN, USA
- 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
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, Seattle, WA, USA
- Division of Genetics, Genomics and Precision Medicine, University of Arizona, Tucson, AZ, USA
- Departments of Medicine and Population Health Science, University of Mississippi Medical Center, Jackson, MS, USA
- Department of Health Services, University of Washington, Seattle, WA, USA
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Bloodworks Northwest, Seattle, WA, USA
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
- National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, UK
- Department of Pathology, Stanford University, Stanford, CA, USA
- Cardiac Arrhythmia Service and Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
- Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ranjan Deka
- Department of Environmental Health, University of Cincinnati, Cincinnati, OH, USA
- Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Take T. Naseri
- Department of Health, American Samoa Government, Pago Pago, American Samoa, USA
| | - Lisa de las Fuentes
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
- Cardiovascular Division, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Laura M. Raffield
- Department of Genetics, University of North Carolina, Chapel Hill, NC, 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
| | - Paul S. 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
| | | | - Eimear E. Kenny
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Eric A. Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
- Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - Michael H. Cho
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | | | - Betty S. Pace
- Division of Hematology/Oncology, Department of Pediatrics, Augusta University, Augusta, GA, 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
| | - Nicholette D. Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Braxton D. Mitchell
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD, USA
| | - Alan R. Shuldiner
- Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Kathleen C. Barnes
- Division of Biomedical Informatics and Personalized Medicine and the Colorado Center for Personalized Medicine, School of Medicine, University of Colorado, Aurora, CO, USA
| | - Susan Redline
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Sharon L.R. Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Gonçalo R. Abecasis
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Regeneron Pharmaceuticals, Tarrytown, NY, USA
| | - Lewis C. Becker
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Susan R. Heckbert
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, 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
| | - Wendy Post
- Department of Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, MD, USA
| | - Donna K. Arnett
- Dean’s Office, College of Public Health, University of Kentucky, Lexington, KY, USA
| | - Ramachandran S. Vasan
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- National Heart Lung and Blood Institute, Boston University’s Framingham Heart Study, Framingham, MA, USA
- Departments of Cardiology and Preventive Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Dawood Darbar
- Division of Cardiology, University of Illinois at Chicago, Chicago, IL, USA
| | - Scott T. Weiss
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Stephen T. McGarvey
- Department of Epidemiology and International Health Institute, Brown University School of Public Health, Providence, RI, USA
| | - Mariza de Andrade
- Mayo Clinic, Department of Health Sciences Research, Rochester, MN, 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
| | - Robert C. Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, Seattle, WA, USA
| | - Deborah A. Meyers
- Division of Genetics, Genomics and Precision Medicine, University of Arizona, Tucson, AZ, USA
| | | | - Adolfo Correa
- Departments of Medicine and Population Health Science, University of Mississippi Medical Center, Jackson, MS, 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 Services, University of Washington, Seattle, WA, 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
| | - JoAnn E. Manson
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Eric Boerwinkle
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Barbara A. Konkle
- Department of Medicine, University of Washington, Seattle, WA, USA
- Bloodworks Northwest, Seattle, WA, 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 of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - 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
| | - Edwin K. Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | | | - John Danesh
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
- National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, UK
| | - Nilesh J. Samani
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- National Institute for Health Research Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | | | - Peter Libby
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Patrick T. Ellinor
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiac Arrhythmia Service and Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Nathan Pankratz
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Benjamin L. Ebert
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
| | | | - Rasika A. Mathias
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ron Do
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University, Nashville, TN, USA
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Yale University School of Medicine, New Haven, CT, USA
- Department of Laboratory Medicine, Lund University, Lund, Sweden
- Initiative for Research and Education to Advance Community Health, Washington State University, Seattle, WA, USA
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Pathology, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Division of Cardiology, Massachusetts General Hospital, Boston, MA, USA
- VA Palo Alto Health Care System, Palo Alto, CA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- National Institute for Health Research Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
- Division of Cardiology, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Biostatistics, School of Public Health, University of Alabama, Birmingham, AL, USA
- Division of Biomedical Informatics and Personalized Medicine and the Colorado Center for Personalized Medicine, School of Medicine, University of Colorado, Aurora, CO, USA
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Medicine, University of Washington, Seattle, WA, 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
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Departments of Medicine, Pharmacology, and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
- Ministry of Health, Government of Samoa, Apia, Samoa
- Section of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- School of Medicine, National Yang-Ming University, Taipei, Taiwan
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
- Vitalant Research Institute, San Francisco, CA, USA
- UCSF, Benioff Children’s Hospital Oakland, Oakland, CA, USA
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Division of Cardiology Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Bloodworks Northwest Research Institute, Seattle, WA, USA
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, VT, USA
- Department of Pathology and Biochemistry, University of Vermont College of Medicine, Burlington, VT, USA
- Division of Hematology and Oncology, Weill Cornell Medical College, New York, NY, USA
- Internal Medicine–Nephrology, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Epidemiology, School of Public Health, University of Alabama, Birmingham, AL, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
- Seattle Epidemiologic Research and Information Center, Department of Veterans Affairs Office of Research and Development, Seattle, WA, USA
- 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
- National Heart Lung and Blood Institute, Boston University’s Framingham Heart Study, Framingham, MA, USA
- Department of Human Genetics and Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Chronic Disease Epidemiology, Yale University, New Haven, CT, USA
- Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Environmental Health, University of Cincinnati, Cincinnati, OH, USA
- Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Department of Health, American Samoa Government, Pago Pago, American Samoa, USA
- Cardiovascular Division, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
- Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, USA
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Hematology/Oncology, Department of Pediatrics, Augusta University, Augusta, GA, USA
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD, USA
- Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD, USA
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Regeneron Pharmaceuticals, Tarrytown, NY, USA
- Department of Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, MD, USA
- Dean’s Office, College of Public Health, University of Kentucky, Lexington, KY, USA
- Departments of Cardiology and Preventive Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
- Division of Cardiology, University of Illinois at Chicago, Chicago, IL, USA
- Department of Epidemiology and International Health Institute, Brown University School of Public Health, Providence, RI, USA
- Mayo Clinic, Department of Health Sciences Research, Rochester, MN, USA
- 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
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, Seattle, WA, USA
- Division of Genetics, Genomics and Precision Medicine, University of Arizona, Tucson, AZ, USA
- Departments of Medicine and Population Health Science, University of Mississippi Medical Center, Jackson, MS, USA
- Department of Health Services, University of Washington, Seattle, WA, USA
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Bloodworks Northwest, Seattle, WA, USA
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
- National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, UK
- Department of Pathology, Stanford University, Stanford, CA, USA
- Cardiac Arrhythmia Service and Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
- Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Pradeep Natarajan
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
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18
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Miller PG, Qiao D, Rojas-Quintero J, Honigberg MC, Sperling AS, Gibson CJ, Bick AG, Niroula A, McConkey ME, Sandoval B, Miller BC, Shi W, Viswanathan K, Leventhal M, Werner L, Moll M, Cade BE, Barr RG, Correa A, Cupples LA, Gharib SA, Jain D, Gogarten SM, Lange LA, London SJ, Manichaikul A, O'Connor GT, Oelsner EC, Redline S, Rich SS, Rotter JI, Ramachandran V, Yu B, Sholl L, Neuberg D, Jaiswal S, Levy BD, Owen CA, Natarajan P, Silverman EK, van Galen P, Tesfaigzi Y, Cho MH, Ebert BL. Association of clonal hematopoiesis with chronic obstructive pulmonary disease. Blood 2022; 139:357-368. [PMID: 34855941 PMCID: PMC8777202 DOI: 10.1182/blood.2021013531] [Citation(s) in RCA: 82] [Impact Index Per Article: 41.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 09/02/2021] [Indexed: 02/02/2023] Open
Abstract
Chronic obstructive pulmonary disease (COPD) is associated with age and smoking, but other determinants of the disease are incompletely understood. Clonal hematopoiesis of indeterminate potential (CHIP) is a common, age-related state in which somatic mutations in clonal blood populations induce aberrant inflammatory responses. Patients with CHIP have an elevated risk for cardiovascular disease, but the association of CHIP with COPD remains unclear. We analyzed whole-genome sequencing and whole-exome sequencing data to detect CHIP in 48 835 patients, of whom 8444 had moderate to very severe COPD, from four separate cohorts with COPD phenotyping and smoking history. We measured emphysema in murine models in which Tet2 was deleted in hematopoietic cells. In the COPDGene cohort, individuals with CHIP had risks of moderate-to-severe, severe, or very severe COPD that were 1.6 (adjusted 95% confidence interval [CI], 1.1-2.2) and 2.2 (adjusted 95% CI, 1.5-3.2) times greater than those for noncarriers. These findings were consistently observed in three additional cohorts and meta-analyses of all patients. CHIP was also associated with decreased FEV1% predicted in the COPDGene cohort (mean between-group differences, -5.7%; adjusted 95% CI, -8.8% to -2.6%), a finding replicated in additional cohorts. Smoke exposure was associated with a small but significant increased risk of having CHIP (odds ratio, 1.03 per 10 pack-years; 95% CI, 1.01-1.05 per 10 pack-years) in the meta-analysis of all patients. Inactivation of Tet2 in mouse hematopoietic cells exacerbated the development of emphysema and inflammation in models of cigarette smoke exposure. Somatic mutations in blood cells are associated with the development and severity of COPD, independent of age and cumulative smoke exposure.
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Affiliation(s)
- Peter G Miller
- Department of Medical Oncology, Dana-Farber Cancer Institute, and
- Division of Hematology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA
| | - Dandi Qiao
- Channing Division of Network Medicine, Department of Medicine, and
| | | | - Michael C Honigberg
- Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA
- Program in Medical and Population Genetics, Broad Institute of Harvard, Cambridge, MA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
| | - Adam S Sperling
- Department of Medical Oncology, Dana-Farber Cancer Institute, and
- Division of Hematology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA
| | - Christopher J Gibson
- Department of Medical Oncology, Dana-Farber Cancer Institute, and
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA
| | - Alexander G Bick
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Abhishek Niroula
- Department of Medical Oncology, Dana-Farber Cancer Institute, and
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA
| | - Marie E McConkey
- Department of Medical Oncology, Dana-Farber Cancer Institute, and
| | | | - Brian C Miller
- Department of Medical Oncology, Dana-Farber Cancer Institute, and
| | - Weiwei Shi
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | | | - Matthew Leventhal
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA
| | - Lillian Werner
- Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA
| | - Matthew Moll
- Channing Division of Network Medicine, Department of Medicine, and
| | - Brian E Cade
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA
| | - R Graham Barr
- Department of Medicine and Department of Epidemiology, Columbia University Medical Center, New York, NY
| | - Adolfo Correa
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS
| | - L Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
- Framingham Heart Study, Framingham, MA
| | - Sina A Gharib
- Computational Medicine Core, Center for Lung Biology, and
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, and
| | - Deepti Jain
- Department of Biostatistics, University of Washington, Seattle, WA
| | | | - Leslie A Lange
- University of Colorado Anschutz Medical Campus, Denver, CO
| | - 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
| | - Ani Manichaikul
- Center for Public Health Genomics and
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA
| | - George T O'Connor
- Division of Pulmonary, Allergy, Sleep, and Critical Care Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA
| | | | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Stephen S Rich
- Center for Public Health Genomics and
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-University of California-Los Angeles Medical Center, Torrance, CA
| | - Vasan Ramachandran
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
- Framingham Heart Study, Framingham, MA
- Preventive Medicine Section, Epidemiology Section, and Cardiovascular Medicine Section, Department of Medicine, Boston University School of Medicine, Boston, MA
- Department of Epidemiology, Boston University Center for Computing and Data Science, Boston University School of Public Health, Boston, MA
| | - Bing Yu
- University of Texas Health Science Center, School of Public Health, Houston, TX
| | - Lynette Sholl
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Donna Neuberg
- Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA
| | | | - Bruce D Levy
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, and
| | - Caroline A Owen
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, and
| | - Pradeep Natarajan
- Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA
- Program in Medical and Population Genetics, Broad Institute of Harvard, Cambridge, MA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Department of Medicine, and
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, and
| | - Peter van Galen
- Division of Hematology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Yohannes Tesfaigzi
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, and
| | - Michael H Cho
- Channing Division of Network Medicine, Department of Medicine, and
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, and
| | - Benjamin L Ebert
- Department of Medical Oncology, Dana-Farber Cancer Institute, and
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA
- Howard Hughes Medical Institute, Bethesda, MD
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19
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Fan K, Wei D, Liu X, He Y, Tian H, Tu R, Liu P, Nie L, Zhang L, Qiao D, Liu X, Hou J, Li L, Wang C, Huo W, Zhang G, Mao Z. Negative associations of morning serum cortisol levels with obesity: the Henan rural cohort study. J Endocrinol Invest 2021; 44:2581-2592. [PMID: 33829394 DOI: 10.1007/s40618-021-01558-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Accepted: 03/22/2021] [Indexed: 12/19/2022]
Abstract
AIMS To evaluate the associations of morning serum cortisol levels with obesity defined by different indices in Chinese rural populations. MATERIALS AND METHODS A cross-sectional study was performed including 6198 participants (2566 males and 3632 females). Serum cortisol was collected in morning and quantified by liquid chromatography-tandem mass spectrometry. Obesity was defined by body mass index (BMI), body fat percentage (BFP), waist-to-height ratio (WHtR), waist circumference (WC), visceral fat index (VFI) and waist-to-hip ratio (WHR). Both multivariable liner regression, logistic regression and restrictive cubic splines models were used to estimate the gender-specific relationships between cortisol levels and obesity defined by different indices, respectively. RESULTS After adjusting for potential confounders, serum cortisol was negatively associated with different obesity measures, except obese females defined by BFP (for instance, overall obesity defined by BMI, Quartile 4 vs. Quartile 1, odds ratio (OR) = 0.25, 95% confidence interval (CI):0.15, 0.41 in males, and OR = 0.58, 95% CI: 0.42,0.80 in females, central obesity defined by WC, OR = 0.52, 95% CI:0.39,0.69 in males and OR = 0.63, 95% CI:0.51,0.77 in females). Similarly, restrictive cubic splines showed the nonlinear relationship between high levels of cortisol and different obesity indices. Furthermore, ROC curve analysis indicated that cortisol could improve the discrimination of model with common biomarkers. CONCLUSION Morning serum cortisol were negatively related to obesity defined by different indices in Chinese rural populations. In addition, cortisol could be as a biomarker for prediction of obesity in males.
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Affiliation(s)
- K Fan
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - D Wei
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - X Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - Y He
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - H Tian
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - R Tu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - P Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - L Nie
- Department of Occupational and Environmental Health Sciences, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - L Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - D Qiao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - X Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - J Hou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - L Li
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - C Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - W Huo
- Department of Occupational and Environmental Health Sciences, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - G Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China.
| | - Z Mao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China.
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20
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Kim W, Moll M, Qiao D, Hobbs BD, Shrine N, Sakornsakolpat P, Tobin MD, Dudbridge F, Wain LV, Ladd-Acosta C, Chatterjee N, Silverman EK, Cho MH, Beaty TH. Interaction of Cigarette Smoking and Polygenic Risk Score on Reduced Lung Function. JAMA Netw Open 2021; 4:e2139525. [PMID: 34913977 PMCID: PMC8678715 DOI: 10.1001/jamanetworkopen.2021.39525] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
IMPORTANCE The risk of airflow limitation and chronic obstructive pulmonary disease (COPD) is influenced by combinations of cigarette smoking and genetic susceptibility, yet it remains unclear whether gene-by-smoking interactions are associated with quantitative measures of lung function. OBJECTIVE To assess the interaction of cigarette smoking and polygenic risk score in association with reduced lung function. DESIGN, SETTING, AND PARTICIPANTS This UK Biobank cohort study included UK citizens of European ancestry aged 40 to 69 years with genetic and spirometry data passing quality control metrics. Data was analyzed from July 2020 to March 2021. EXPOSURES PRS of combined forced expiratory volume in 1 second (FEV1) and percent of forced vital capacity exhaled in the first second (FEV1/FVC), self-reported pack-years of smoking, ever- vs never-smoking status, and current- vs former- or never-smoking status. MAIN OUTCOMES AND MEASURES FEV1/FVC was the primary outcome. Models were used to test for interactions with models, including the main effects of PRS, different smoking variables, and their cross-product terms. The association between pack-years of smoking and FEV1/FVC were compared for those in the highest vs lowest decile of estimated genetic risk for low lung function. RESULTS We included 319 730 individuals, of whom 24 915 (8%) had moderate-to-severe COPD cases, and 44.4% were men. Participants had a mean (SD) age 56.5 of (8.02) years. The PRS and pack-years were significantly associated with lower FEV1/FVC (PRS: β, -0.03; 95% CI, -0.031 to -0.03; pack-years: β, -0.0064; 95% CI, -0.0064 to -0.0063) and the interaction term (β, -0.0028; 95% CI, -0.0029 to -0.0026). A stepwise increment in estimated effect sizes for these interaction terms was observed per 10 pack-years of smoking exposure. The interaction of PRS with 11 to 20, 31 to 40, and more than 50 pack-years categories were β (interaction) -0.0038 (95% CI, -0.0046 to -0.0031); -0.013 (95% CI, -0.014 to -0.012); and -0.017 (95% CI, -0.019 to -0.016), respectively. There was evidence of significant interaction between PRS with ever- or never- smoking status (β, interaction; -0.0064; 95% CI, -0.0068 to -0.0060) and current or not-current smoking (β, interaction; -0.0091; 95% CI, -0.0097 to -0.0084). For any given level of pack-years of smoking exposure, FEV1/FVC was significantly lower for individuals in the tenth decile (ie, highest risk) than the first decile (ie, lowest risk) of genetic risk. For every 20 pack-years of smoking, those in the tenth decile compared with the first decile of genetic risk showed nearly a 2-fold reduction in FEV1/FVC. CONCLUSIONS AND RELEVANCE COPD is characterized by diminished lung function, and our analyses suggest there is substantial interaction between genome-wide PRS and smoking exposures. While smoking was associated with decreased lung function across all genetic risk categories, the associations were strongest in individuals with higher estimated genetic risk.
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Affiliation(s)
- Woori Kim
- Systems Biology and Computer Science Program, Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts
| | - Matthew Moll
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Dandi Qiao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Brian D. Hobbs
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Nick Shrine
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom
| | - Phuwanat Sakornsakolpat
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Martin D. Tobin
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom
- National Institute for Health Research Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom
| | - Frank Dudbridge
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom
| | - Louise V. Wain
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom
- National Institute for Health Research Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom
| | - Christine Ladd-Acosta
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Nilanjan Chatterjee
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
- Department of Oncology, School of Medicine, Johns Hopkins University, Baltimore, Maryland
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
| | - Edwin K. Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Michael H. Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Terri H. Beaty
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
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21
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Hakim A, Moll M, Qiao D, Liu J, Lasky-Su JA, Silverman EK, Vilarinho S, Jiang ZG, Hobbs BD, Cho MH. Heterozygosity of the Alpha 1-Antitrypsin Pi*Z Allele and Risk of Liver Disease. Hepatol Commun 2021; 5:1348-1361. [PMID: 34430780 PMCID: PMC8369947 DOI: 10.1002/hep4.1718] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 01/29/2021] [Accepted: 03/01/2021] [Indexed: 02/04/2023] Open
Abstract
The serpin family A member 1 (SERPINA1) Z allele is present in approximately one in 25 individuals of European ancestry. Z allele homozygosity (Pi*ZZ) is the most common cause of alpha 1-antitrypsin deficiency and is a proven risk factor for cirrhosis. We examined whether heterozygous Z allele (Pi*Z) carriers in United Kingdom (UK) Biobank, a population-based cohort, are at increased risk of liver disease. We replicated findings in Massachusetts General Brigham Biobank, a hospital-based cohort. We also examined variants associated with liver disease and assessed for gene-gene and gene-environment interactions. In UK Biobank, we identified 1,493 cases of cirrhosis, 12,603 Z allele heterozygotes, and 129 Z allele homozygotes among 312,671 unrelated white British participants. Heterozygous carriage of the Z allele was associated with cirrhosis compared to noncarriage (odds ratio [OR], 1.53; P = 1.1×10-04); homozygosity of the Z allele also increased the risk of cirrhosis (OR, 11.8; P = 1.8 × 10-09). The OR for cirrhosis of the Z allele was comparable to that of well-established genetic variants, including patatin-like phospholipase domain containing 3 (PNPLA3) I148M (OR, 1.48; P = 1.1 × 10-22) and transmembrane 6 superfamily member 2 (TM6SF2) E167K (OR, 1.34; P = 2.6 × 10-06). In heterozygotes compared to noncarriers, the Z allele was associated with higher alanine aminotransferase (ALT; P = = 4.6 × 10-46), aspartate aminotransferase (AST; P = 2.2 × 10-27), alkaline phosphatase (P = 3.3 × 10-43), gamma-glutamyltransferase (P = 1.2 × 10-05), and total bilirubin (P = 6.4 × 10-06); Z allele homozygotes had even greater elevations in liver biochemistries. Body mass index (BMI) amplified the association of the Z allele for ALT (P interaction = 0.021) and AST (P interaction = 0.0040), suggesting a gene-environment interaction. Finally, we demonstrated genetic interactions between variants in PNPLA3, TM6SF2, and hydroxysteroid 17-beta dehydrogenase 13 (HSD17B13); there was no evidence of epistasis between the Z allele and these variants. Conclusion: SERPINA1 Z allele heterozygosity is an important risk factor for liver disease; this risk is amplified by increasing BMI.
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Affiliation(s)
- Aaron Hakim
- Department of MedicineBeth Israel Deaconess Medical CenterBostonMAUSA.,Division of Gastroenterology and HepatologyBeth Israel Deaconess Medical CenterBostonMAUSA.,Channing Division of Network MedicineBrigham and Women's HospitalBostonMAUSA
| | - Matthew Moll
- Channing Division of Network MedicineBrigham and Women's HospitalBostonMAUSA.,Division of Pulmonary and Critical Care MedicineBrigham and Women's HospitalBostonMAUSA
| | - Dandi Qiao
- Channing Division of Network MedicineBrigham and Women's HospitalBostonMAUSA
| | - Jiangyuan Liu
- Channing Division of Network MedicineBrigham and Women's HospitalBostonMAUSA
| | - Jessica A Lasky-Su
- Channing Division of Network MedicineBrigham and Women's HospitalBostonMAUSA
| | - Edwin K Silverman
- Channing Division of Network MedicineBrigham and Women's HospitalBostonMAUSA.,Division of Pulmonary and Critical Care MedicineBrigham and Women's HospitalBostonMAUSA
| | - Silvia Vilarinho
- Department of Internal MedicineSection of Digestive DiseasesYale School of MedicineNew HavenCTUSA.,Department of PathologyYale School of MedicineNew HavenCTUSA
| | - Z Gordon Jiang
- Department of MedicineBeth Israel Deaconess Medical CenterBostonMAUSA.,Division of Gastroenterology and HepatologyBeth Israel Deaconess Medical CenterBostonMAUSA
| | - Brian D Hobbs
- Channing Division of Network MedicineBrigham and Women's HospitalBostonMAUSA.,Division of Pulmonary and Critical Care MedicineBrigham and Women's HospitalBostonMAUSA
| | - Michael H Cho
- Department of MedicineBeth Israel Deaconess Medical CenterBostonMAUSA.,Channing Division of Network MedicineBrigham and Women's HospitalBostonMAUSA.,Division of Pulmonary and Critical Care MedicineBrigham and Women's HospitalBostonMAUSA
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22
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Xu JL, He SY, Qiao D, Gu ZJ, Liang C, Ni CF. [Analysis of Dimethyltryptamine in Captured Suspicious Substances:Three Case Reports]. Fa Yi Xue Za Zhi 2021; 37:524-526. [PMID: 34726006 DOI: 10.12116/j.issn.1004-5619.2021.310303] [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] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Indexed: 06/13/2023]
Abstract
Abstract.
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Affiliation(s)
- J L Xu
- Shanghai Key Laboratory of Crime Scene Evidence, Institute of Forensic Science of Shanghai Public Security Bureau, Shanghai 200083, China
| | - S Y He
- Shanghai Key Laboratory of Crime Scene Evidence, Institute of Forensic Science of Shanghai Public Security Bureau, Shanghai 200083, China
| | - D Qiao
- Shanghai Key Laboratory of Crime Scene Evidence, Institute of Forensic Science of Shanghai Public Security Bureau, Shanghai 200083, China
| | - Z J Gu
- Shanghai Key Laboratory of Crime Scene Evidence, Institute of Forensic Science of Shanghai Public Security Bureau, Shanghai 200083, China
| | - C Liang
- Shanghai Key Laboratory of Crime Scene Evidence, Institute of Forensic Science of Shanghai Public Security Bureau, Shanghai 200083, China
| | - C F Ni
- Shanghai Key Laboratory of Crime Scene Evidence, Institute of Forensic Science of Shanghai Public Security Bureau, Shanghai 200083, China
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23
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Lin X, Li Y, Gong L, Yun JH, Xu S, Tesfaigzi Y, Qiao D, Zhou X. Tempo-spatial regulation of the Wnt pathway by FAM13A modulates the stemness of alveolar epithelial progenitors. EBioMedicine 2021; 69:103463. [PMID: 34224973 PMCID: PMC8264115 DOI: 10.1016/j.ebiom.2021.103463] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 06/06/2021] [Accepted: 06/11/2021] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Family with Sequence Similarity 13, Member A (FAM13A) gene has been consistently associated with COPD by Genome-wide association studies (GWAS). Our previous study demonstrated that FAM13A was mainly expressed in the lung epithelial progenitors including Club cells and alveolar type II epithelial (ATII) cells. Fam13a-/- mice were resistant to cigarette smoke (CS)-induced emphysema through promoting β-catenin/Wnt activation. Given the important roles of β-catenin/Wnt activation in alveolar regeneration during injury, it is unclear when and where FAM13A regulates the Wnt pathway, the requisite pathway for alveolar epithelial repair, in vivo during CS exposure in lung epithelial progenitors. METHODS Fam13a+/+ or Fam13a-/- mice were crossed with TCF/Lef:H2B-GFP Wnt-signaling reporter mouse line to indicate β-catenin/Wnt-activated cells labeled with GFP followed by acute (1 month) or chronic (7 months) CS exposure. Fluorescence-activated flow cytometry analysis, immunofluorescence and organoid culture system were performed to identify the β-catenin/Wnt-activated cells in Fam13a+/+ or Fam13a-/- mice exposed to CS. Fam13a;SftpcCreERT2;Rosa26RmTmG mouse line, where GFP labels ATII cells, was generated for alveolar organoid culture followed by analyses of organoid number, immunofluorescence and gene expression. Single cell RNA-seq data from COPD ever smokers and nonsmoker control lungs were further analyzed. FINDINGS We found that FAM13A-deficiency significantly increased Wnt activation mainly in lung epithelial cells. Consistently, after long-term CS exposure in vivo, FAM13A deficiency bestows alveolar epithelial progenitor cells with enhanced proliferation and differentiation in the ex vivo organoid model. Importantly, expression of FAM13A is significantly increased in human COPD-derived ATII cells compared to healthy ATII cells as suggested by single cell RNA-sequencing data. INTERPRETATION Our findings suggest that FAM13A-deficiency promotes the Wnt pathway-mediated ATII cell repair/regeneration, and thereby possibly mitigating CS-induced alveolar destruction. FUND: This project is funded by the National Institutes of Health of United States of America (NIH) grants R01HL127200, R01HL137927, R01HL148667 and R01HL147148 (XZ).
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Affiliation(s)
- Xin Lin
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Yujun Li
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA; Guangzhou First People's Hospital, the Second Affiliated Hospital of South China University of Technology, Guangzhou, Guangdong, 510180, China
| | - Lu Gong
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Jeong H Yun
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA; The Division of Pulmonary and Critical Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Shuang Xu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Yohannes Tesfaigzi
- The Division of Pulmonary and Critical Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Dandi Qiao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Xiaobo Zhou
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
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24
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Gong L, Bates S, Li J, Qiao D, Glass K, Wei W, Hsu VW, Zhou X, Silverman EK. Connecting COPD GWAS genes: FAM13A controls TGFβ2 secretion by modulating AP-3 transport. Am J Respir Cell Mol Biol 2021; 65:532-543. [PMID: 34166600 DOI: 10.1165/rcmb.2021-0016oc] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Chronic Obstructive Pulmonary Disease (COPD) is a common, complex disease and a major cause of morbidity and mortality. Although multiple genetic determinants of COPD have been implicated by genome-wide association studies (GWAS), the pathophysiologic significance of these associations remains largely unknown. From a COPD protein-protein interaction network module, we selected a network path between two COPD GWAS genes for validation studies: FAM13A-AP3D1-CTGF-TGFB2. We find that TGFβ2, FAM13A, and AP3D1 (but not CTGF) form a cellular protein complex. Functional characterization suggests that this complex mediates the secretion of TGFβ2 through an AP-3-dependent pathway, with FAM13A acting as a negative regulator by targeting a late stage of this transport that involves the dissociation of coat-cargo interaction. Moreover, we find that TGFβ2 is a transmembrane protein that engages the AP-3 complex for delivery to the late endosomal compartments for subsequent secretion through exosomes. These results identify a pathophysiologic context that unifies the biological network role of two COPD GWAS proteins and reveal novel mechanisms of cargo transport through an intracellular pathway.
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Affiliation(s)
- Lu Gong
- Brigham and Women's Hospital, 1861, Channing Division, Boston, Massachusetts, United States
| | - Samuel Bates
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States
| | - Jian Li
- Brigham And Women's Hospital, Boston, United States
| | - Dandi Qiao
- Brigham and Women's Hospital and Harvard Medical School, Medicine, Boston, Massachusetts, United States.,Harvard School of Public Health, Biostatistics, Boston, Massachusetts, United States
| | - Kimberly Glass
- Brigham and Women\'s Hospital Channing Division of Network Medicine, 1869, Boston, Massachusetts, United States
| | - Wenyi Wei
- Beth Israel Deaconess Medical Center, 1859, Department of Pathology, Boston, Massachusetts, United States.,Harvard Medical School , Boston , Massachusetts, United States
| | - Victor W Hsu
- Brigham and Women's Hospital, 1861, Division of Rheumatology, Inflammation, and Immunity, Boston, Massachusetts, United States
| | - Xiaobo Zhou
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States
| | - Edwin K Silverman
- Brigham and Women's Hospital, 1861, Channing Division of Network Medicine, Boston, Massachusetts, United States;
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25
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Hahn G, Wu CM, Lee S, Lutz SM, Khurana S, Baden LR, Haneuse S, Qiao D, Hecker J, DeMeo DL, Tanzi RE, Choudhary MC, Etemad B, Mohammadi A, Esmaeilzadeh E, Cho MH, Li JZ, Randolph AG, Laird NM, Weiss ST, Silverman EK, Ribbeck K, Lange C. Genome-wide association analysis of COVID-19 mortality risk in SARS-CoV-2 genomes identifies mutation in the SARS-CoV-2 spike protein that colocalizes with P.1 of the Brazilian strain. Genet Epidemiol 2021; 45:685-693. [PMID: 34159627 PMCID: PMC8426743 DOI: 10.1002/gepi.22421] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 05/10/2021] [Accepted: 05/17/2021] [Indexed: 12/05/2022]
Abstract
SARS‐CoV‐2 mortality has been extensively studied in relation to host susceptibility. How sequence variations in the SARS‐CoV‐2 genome affect pathogenicity is poorly understood. Starting in October 2020, using the methodology of genome‐wide association studies (GWAS), we looked at the association between whole‐genome sequencing (WGS) data of the virus and COVID‐19 mortality as a potential method of early identification of highly pathogenic strains to target for containment. Although continuously updating our analysis, in December 2020, we analyzed 7548 single‐stranded SARS‐CoV‐2 genomes of COVID‐19 patients in the GISAID database and associated variants with mortality using a logistic regression. In total, evaluating 29,891 sequenced loci of the viral genome for association with patient/host mortality, two loci, at 12,053 and 25,088 bp, achieved genome‐wide significance (p values of 4.09e−09 and 4.41e−23, respectively), though only 25,088 bp remained significant in follow‐up analyses. Our association findings were exclusively driven by the samples that were submitted from Brazil (p value of 4.90e−13 for 25,088 bp). The mutation frequency of 25,088 bp in the Brazilian samples on GISAID has rapidly increased from about 0.4 in October/December 2020 to 0.77 in March 2021. Although GWAS methodology is suitable for samples in which mutation frequencies varies between geographical regions, it cannot account for mutation frequencies that change rapidly overtime, rendering a GWAS follow‐up analysis of the GISAID samples that have been submitted after December 2020 as invalid. The locus at 25,088 bp is located in the P.1 strain, which later (April 2021) became one of the distinguishing loci (precisely, substitution V1176F) of the Brazilian strain as defined by the Centers for Disease Control. Specifically, the mutations at 25,088 bp occur in the S2 subunit of the SARS‐CoV‐2 spike protein, which plays a key role in viral entry of target host cells. Since the mutations alter amino acid coding sequences, they potentially imposing structural changes that could enhance viral infectivity and symptom severity. Our analysis suggests that GWAS methodology can provide suitable analysis tools for the real‐time detection of new more transmissible and pathogenic viral strains in databases such as GISAID, though new approaches are needed to accommodate rapidly changing mutation frequencies over time, in the presence of simultaneously changing case/control ratios. Improvements of the associated metadata/patient information in terms of quality and availability will also be important to fully utilize the potential of GWAS methodology in this field.
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Affiliation(s)
- Georg Hahn
- Department of Biostatistics, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA
| | - Chloe M Wu
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Sanghun Lee
- Department of Biostatistics, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA.,Department of Medical Consilience, Graduate School, Dankook University, Yongin, South Korea
| | - Sharon M Lutz
- Department of Biostatistics, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA.,PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | | | - Lindsey R Baden
- Division of Infectious Diseases, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Sebastien Haneuse
- Department of Biostatistics, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA
| | - Dandi Qiao
- Harvard Medical School, Harvard University, Boston, Massachusetts, USA.,Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Julian Hecker
- PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.,Harvard Medical School, Harvard University, Boston, Massachusetts, USA
| | - Dawn L DeMeo
- Harvard Medical School, Harvard University, Boston, Massachusetts, USA.,Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Rudolph E Tanzi
- Genetics and Aging Research Unit, McCance Center for Brain Health, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | | | - Behzad Etemad
- Harvard Medical School, Harvard University, Boston, Massachusetts, USA
| | - Abbas Mohammadi
- Harvard Medical School, Harvard University, Boston, Massachusetts, USA
| | | | - Michael H Cho
- Harvard Medical School, Harvard University, Boston, Massachusetts, USA.,Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Jonathan Z Li
- Harvard Medical School, Harvard University, Boston, Massachusetts, USA
| | - Adrienne G Randolph
- Harvard Medical School, Harvard University, Boston, Massachusetts, USA.,Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Nan M Laird
- Department of Biostatistics, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA
| | - Scott T Weiss
- Harvard Medical School, Harvard University, Boston, Massachusetts, USA.,Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Edwin K Silverman
- Harvard Medical School, Harvard University, Boston, Massachusetts, USA.,Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Katharina Ribbeck
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Christoph Lange
- Department of Biostatistics, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA.,Harvard Medical School, Harvard University, Boston, Massachusetts, USA.,Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
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26
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Hong HP, Cui XZ, Qiao D. An algorithm to simulate nonstationary and non-Gaussian stochastic processes. J Infrastruct Preserv Resil 2021; 2:17. [PMID: 34806025 PMCID: PMC8591702 DOI: 10.1186/s43065-021-00030-5] [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] [Figures] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 04/23/2021] [Indexed: 06/13/2023]
Abstract
We proposed a new iterative power and amplitude correction (IPAC) algorithm to simulate nonstationary and non-Gaussian processes. The proposed algorithm is rooted in the concept of defining the stochastic processes in the transform domain, which is elaborated and extend. The algorithm extends the iterative amplitude adjusted Fourier transform algorithm for generating surrogate and the spectral correction algorithm for simulating stationary non-Gaussian process. The IPAC algorithm can be used with different popular transforms, such as the Fourier transform, S-transform, and continuous wavelet transforms. The targets for the simulation are the marginal probability distribution function of the process and the power spectral density function of the process that is defined based on the variables in the transform domain for the adopted transform. The algorithm is versatile and efficient. Its application is illustrated using several numerical examples.
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Affiliation(s)
- H. P. Hong
- Department of Civil and Environmental Engineering, University of Western Ontario, London, N6A 5B9 Canada
| | - X. Z. Cui
- Department of Civil and Environmental Engineering, University of Western Ontario, London, N6A 5B9 Canada
| | - D. Qiao
- China Construction Eighth Engineering Division Corp, LTD., Shanghai, China
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27
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Kwong AM, Blackwell TW, LeFaive J, de Andrade M, Barnard J, Barnes KC, Blangero J, Boerwinkle E, Burchard EG, Cade BE, Chasman DI, Chen H, Conomos MP, Cupples LA, Ellinor PT, Eng C, Gao Y, Guo X, Irvin MR, Kelly TN, Kim W, Kooperberg C, Lubitz SA, Mak ACY, Manichaikul AW, Mathias RA, Montasser ME, Montgomery CG, Musani S, Palmer ND, Peloso GM, Qiao D, Reiner AP, Roden DM, Shoemaker MB, Smith JA, Smith NL, Su JL, Tiwari HK, Weeks DE, Weiss ST, Scott LJ, Smith AV, Abecasis GR, Boehnke M, Kang HM. Robust, flexible, and scalable tests for Hardy-Weinberg equilibrium across diverse ancestries. Genetics 2021; 218:iyab044. [PMID: 33720349 PMCID: PMC8128395 DOI: 10.1093/genetics/iyab044] [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: 11/24/2020] [Accepted: 02/03/2021] [Indexed: 11/13/2022] Open
Abstract
Traditional Hardy-Weinberg equilibrium (HWE) tests (the χ2 test and the exact test) have long been used as a metric for evaluating genotype quality, as technical artifacts leading to incorrect genotype calls often can be identified as deviations from HWE. However, in data sets composed of individuals from diverse ancestries, HWE can be violated even without genotyping error, complicating the use of HWE testing to assess genotype data quality. In this manuscript, we present the Robust Unified Test for HWE (RUTH) to test for HWE while accounting for population structure and genotype uncertainty, and to evaluate the impact of population heterogeneity and genotype uncertainty on the standard HWE tests and alternative methods using simulated and real sequence data sets. Our results demonstrate that ignoring population structure or genotype uncertainty in HWE tests can inflate false-positive rates by many orders of magnitude. Our evaluations demonstrate different tradeoffs between false positives and statistical power across the methods, with RUTH consistently among the best across all evaluations. RUTH is implemented as a practical and scalable software tool to rapidly perform HWE tests across millions of markers and hundreds of thousands of individuals while supporting standard VCF/BCF formats. RUTH is publicly available at https://www.github.com/statgen/ruth.
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Affiliation(s)
- Alan M Kwong
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Thomas W Blackwell
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Jonathon LeFaive
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | | | - John Barnard
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44106, USA
| | - Kathleen C Barnes
- Department of Medicine, Anschultz Medical Campus, University of Colorado, Aurora, CO 80045, USA
| | - John Blangero
- Department of Human Genetics, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520, USA
| | - Eric Boerwinkle
- Department of Epidemiology, Human Genetics Center, Human Genetics and Environmental Sciences, School of Public Health, 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
| | - Esteban G Burchard
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA 94143, USA
- Department of Medicine, University of California San Francisco, San Francisco, CA 94143, USA
| | - Brian E Cade
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Daniel I Chasman
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, MA 02215, USA
| | - Han Chen
- Department of Epidemiology, Human Genetics Center, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Center for Precision Health, School of Public Health and School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Matthew P Conomos
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - L Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
- Framingham Heart Study, Framingham, MA 01702, USA
| | - Patrick T Ellinor
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA
- Cardiovascular Disease Initiative, The Broad Institute of MIT and Harvard, Cambridge, MA 02124, USA
| | - Celeste Eng
- Department of Medicine, University of California San Francisco, San Francisco, CA 94143, USA
| | - Yan Gao
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS 39216 USA
| | - Xiuqing Guo
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Marguerite Ryan Irvin
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Tanika N Kelly
- Department of Epidemiology, Tulane University, New Orleans, LA 70112, USA
| | - Wonji Kim
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
| | | | - Steven A Lubitz
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA
- Cardiovascular Disease Initiative, The Broad Institute of MIT and Harvard, Cambridge, MA 02124, USA
| | - Angel C Y Mak
- Department of Medicine, University of California San Francisco, San Francisco, CA 94143, USA
| | - Ani W Manichaikul
- Department of Public Health Sciences, Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA
| | - Rasika A Mathias
- GeneSTAR Research Program and Division of Allergy and Clinical Immunology, Department of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA
| | - May E Montasser
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Courtney G Montgomery
- Sarcoidosis Research Unit, Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
| | - Solomon Musani
- Jackson Heart Study, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | - Gina M Peloso
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Dandi Qiao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
| | | | - Dan M Roden
- Departments of Medicine, Pharmacology, and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - M Benjamin Shoemaker
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Nicholas L Smith
- Department of Epidemiology, University of Washington, Seattle, WA 98195, USA
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA 98101, USA
- Department of Veterans Affairs, Seattle Epidemiologic Research and Information Center, Office of Research and Development, Seattle, WA 98108, USA
| | - Jessica Lasky Su
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Hemant K Tiwari
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Daniel E Weeks
- Departments of Human Genetics and Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Scott T Weiss
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
| | | | | | - Laura J Scott
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Albert V Smith
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Gonçalo R Abecasis
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Michael Boehnke
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Hyun Min Kang
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
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28
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McElvaney OJ, Hobbs BD, Qiao D, McElvaney OF, Moll M, McEvoy NL, Clarke J, O'Connor E, Walsh S, Cho MH, Curley GF, McElvaney NG. Corrigendum to 'A linear prognostic score based on the ratio of interleukin-6 to interleukin-10 predicts outcomes in COVID-19'. EBioMedicine 2020; 62:103116. [PMID: 33181463 PMCID: PMC7654328 DOI: 10.1016/j.ebiom.2020.103116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Affiliation(s)
- Oliver J McElvaney
- Department of Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland; Beaumont Hospital, Dublin, Ireland.
| | - Brian D Hobbs
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Dandi Qiao
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Oisín F McElvaney
- Department of Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland; Beaumont Hospital, Dublin, Ireland
| | - Matthew Moll
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Natalie L McEvoy
- Department of Anaesthesia and Critical Care Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Jennifer Clarke
- Beaumont Hospital, Dublin, Ireland; Department of Anaesthesia and Critical Care Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland
| | | | | | - Michael H Cho
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Gerard F Curley
- Beaumont Hospital, Dublin, Ireland; Department of Anaesthesia and Critical Care Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Noel G McElvaney
- Department of Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland; Beaumont Hospital, Dublin, Ireland.
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29
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Zhao X, Qiao D, Yang C, Kasela S, Kim W, Ma Y, Shrine N, Batini C, Sofer T, Taliun SAG, Sakornsakolpat P, Balte PP, Prokopenko D, Yu B, Lange LA, Dupuis J, Cade BE, Lee J, Gharib SA, Daya M, Laurie CA, Ruczinski I, Cupples LA, Loehr LR, Bartz TM, Morrison AC, Psaty BM, Vasan RS, Wilson JG, Taylor KD, Durda P, Johnson WC, Cornell E, Guo X, Liu Y, Tracy RP, Ardlie KG, Aguet F, VanDenBerg DJ, Papanicolaou GJ, Rotter JI, Barnes KC, Jain D, Nickerson DA, Muzny DM, Metcalf GA, Doddapaneni H, Dugan-Perez S, Gupta N, Gabriel S, Rich SS, O'Connor GT, Redline S, Reed RM, Laurie CC, Daviglus ML, Preudhomme LK, Burkart KM, Kaplan RC, Wain LV, Tobin MD, London SJ, Lappalainen T, Oelsner EC, Abecasis GR, Silverman EK, Barr RG, Cho MH, Manichaikul A. Whole genome sequence analysis of pulmonary function and COPD in 19,996 multi-ethnic participants. Nat Commun 2020; 11:5182. [PMID: 33057025 PMCID: PMC7598941 DOI: 10.1038/s41467-020-18334-7] [Citation(s) in RCA: 16] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 08/19/2020] [Indexed: 12/14/2022] Open
Abstract
Chronic obstructive pulmonary disease (COPD), diagnosed by reduced lung function, is a leading cause of morbidity and mortality. We performed whole genome sequence (WGS) analysis of lung function and COPD in a multi-ethnic sample of 11,497 participants from population- and family-based studies, and 8499 individuals from COPD-enriched studies in the NHLBI Trans-Omics for Precision Medicine (TOPMed) Program. We identify at genome-wide significance 10 known GWAS loci and 22 distinct, previously unreported loci, including two common variant signals from stratified analysis of African Americans. Four novel common variants within the regions of PIAS1, RGN (two variants) and FTO show evidence of replication in the UK Biobank (European ancestry n ~ 320,000), while colocalization analyses leveraging multi-omic data from GTEx and TOPMed identify potential molecular mechanisms underlying four of the 22 novel loci. Our study demonstrates the value of performing WGS analyses and multi-omic follow-up in cohorts of diverse ancestry.
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Affiliation(s)
- Xutong Zhao
- Center for Statistical Genetics, and Department of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Dandi Qiao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Chaojie Yang
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22908, USA
| | - Silva Kasela
- New York Genome Center, New York, NY, 10013, USA
- Department of Systems Biology, Columbia University, New York, NY, 10032, USA
| | - Wonji Kim
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Yanlin Ma
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22908, USA
| | - Nick Shrine
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, LE1 7RH, United Kingdom
| | - Chiara Batini
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, LE1 7RH, United Kingdom
| | - Tamar Sofer
- Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Sarah A Gagliano Taliun
- Center for Statistical Genetics, and Department of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Phuwanat Sakornsakolpat
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Pallavi P Balte
- Department of Medicine, Columbia University Medical Center, New York, NY, 10032, USA
| | - Dmitry Prokopenko
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Bing Yu
- Department of Epidemiology, Human Genetics & Environmental Sciences, UTHealth School of Public Health, Houston, TX, 77030, USA
| | - Leslie A Lange
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Brian E Cade
- Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Jiwon Lee
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Sina A Gharib
- Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA, 98109, USA
| | - Michelle Daya
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Cecelia A Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA
| | - L Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
- Boston University and the National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA, 01702, USA
| | - Laura R Loehr
- Department of Medicine, UNC School of Medicine, Chapel Hill, NC, 27599, USA
| | - Traci M Bartz
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, 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, 77030, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA, 98101, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, 98101, USA
| | - Ramachandran S Vasan
- Boston University and the National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA, 01702, USA
- Department of Preventive Medicine and Epidemiology, Boston University School of Medicine and Public Health, Boston, MA, 02118, USA
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, 39216, USA
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, The Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Peter Durda
- Department of Pathology and Laboratory Medicine, Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, 05405, USA
| | - W Craig Johnson
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - Elaine Cornell
- Department of Pathology and Laboratory Medicine, Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, 05405, USA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, The Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Yongmei Liu
- Department of Medicine, Division of Cardiology, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, 27701, USA
| | - Russell P Tracy
- Department of Pathology and Laboratory Medicine, Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, 05405, USA
| | | | - François Aguet
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - David J VanDenBerg
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, 90033, USA
| | - George J Papanicolaou
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, The Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Kathleen C Barnes
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Deepti Jain
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - Deborah A Nickerson
- Department of Genome Sciences, University of Washington, Seattle, WA, 98195, USA
| | - Donna M Muzny
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Ginger A Metcalf
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | | | - Shannon Dugan-Perez
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Namrata Gupta
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Stacey Gabriel
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22908, USA
| | - George T O'Connor
- Boston University School Of Medicine, Pulmonary Center, Boston, MA, 02118, USA
| | - Susan Redline
- Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, 02115, USA
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, 02215, USA
| | - Robert M Reed
- Division of Pulmonary and Critical Care Medicine, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Cathy C Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - Martha L Daviglus
- Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, 60612, USA
| | | | - Kristin M Burkart
- Department of Medicine, Columbia University Medical Center, New York, NY, 10032, USA
| | - Robert C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, NY, 10461, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
| | - Louise V Wain
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, LE1 7RH, United Kingdom
- National Institute for Health Research, Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, LE3 9QP, UK
| | - Martin D Tobin
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, LE1 7RH, United Kingdom
- National Institute for Health Research, Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, LE3 9QP, UK
| | - Stephanie J London
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Durham, NC, 27709, USA
| | - Tuuli Lappalainen
- New York Genome Center, New York, NY, 10013, USA
- Department of Systems Biology, Columbia University, New York, NY, 10032, USA
| | - Elizabeth C Oelsner
- Department of Medicine, Columbia University Medical Center, New York, NY, 10032, USA
| | - Goncalo R Abecasis
- Center for Statistical Genetics, and Department of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - R Graham Barr
- Department of Medicine, Columbia University Medical Center, New York, NY, 10032, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA.
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22908, USA.
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30
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McElvaney OJ, Hobbs BD, Qiao D, McElvaney OF, Moll M, McEvoy NL, Clarke J, O'Connor E, Walsh S, Cho MH, Curley GF, McElvaney NG. A linear prognostic score based on the ratio of interleukin-6 to interleukin-10 predicts outcomes in COVID-19. EBioMedicine 2020; 61:103026. [PMID: 33039714 PMCID: PMC7543971 DOI: 10.1016/j.ebiom.2020.103026] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Revised: 09/10/2020] [Accepted: 09/10/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Prognostic tools are required to guide clinical decision-making in COVID-19. METHODS We studied the relationship between the ratio of interleukin (IL)-6 to IL-10 and clinical outcome in 80 patients hospitalized for COVID-19, and created a simple 5-point linear score predictor of clinical outcome, the Dublin-Boston score. Clinical outcome was analysed as a three-level ordinal variable ("Improved", "Unchanged", or "Declined"). For both IL-6:IL-10 ratio and IL-6 alone, we associated clinical outcome with a) baseline biomarker levels, b) change in biomarker level from day 0 to day 2, c) change in biomarker from day 0 to day 4, and d) slope of biomarker change throughout the study. The associations between ordinal clinical outcome and each of the different predictors were performed with proportional odds logistic regression. Associations were run both "unadjusted" and adjusted for age and sex. Nested cross-validation was used to identify the model for incorporation into the Dublin-Boston score. FINDINGS The 4-day change in IL-6:IL-10 ratio was chosen to derive the Dublin-Boston score. Each 1 point increase in the score was associated with a 5.6 times increased odds for a more severe outcome (OR 5.62, 95% CI -3.22-9.81, P = 1.2 × 10-9). Both the Dublin-Boston score and the 4-day change in IL-6:IL-10 significantly outperformed IL-6 alone in predicting clinical outcome at day 7. INTERPRETATION The Dublin-Boston score is easily calculated and can be applied to a spectrum of hospitalized COVID-19 patients. More informed prognosis could help determine when to escalate care, institute or remove mechanical ventilation, or drive considerations for therapies. FUNDING Funding was received from the Elaine Galwey Research Fellowship, American Thoracic Society, National Institutes of Health and the Parker B Francis Research Opportunity Award.
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Affiliation(s)
- Oliver J McElvaney
- Department of Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland; Beaumont Hospital, Dublin, Ireland.
| | - Brian D Hobbs
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Dandi Qiao
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Oisín F McElvaney
- Department of Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland; Beaumont Hospital, Dublin, Ireland
| | - Matthew Moll
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Natalie L McEvoy
- Department of Anaesthesia and Critical Care Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Jennifer Clarke
- Beaumont Hospital, Dublin, Ireland; Department of Anaesthesia and Critical Care Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland
| | | | | | - Michael H Cho
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Gerard F Curley
- Beaumont Hospital, Dublin, Ireland; Department of Anaesthesia and Critical Care Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Noel G McElvaney
- Department of Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland; Beaumont Hospital, Dublin, Ireland.
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Moll M, Qiao D, Regan EA, Hunninghake GM, Make BJ, Tal-Singer R, McGeachie MJ, Castaldi PJ, San Jose Estepar R, Washko GR, Wells JM, LaFon D, Strand M, Bowler RP, Han MK, Vestbo J, Celli B, Calverley P, Crapo J, Silverman EK, Hobbs BD, Cho MH. Machine Learning and Prediction of All-Cause Mortality in COPD. Chest 2020; 158:952-964. [PMID: 32353417 PMCID: PMC7478228 DOI: 10.1016/j.chest.2020.02.079] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [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: 06/18/2019] [Revised: 02/24/2020] [Accepted: 02/27/2020] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND COPD is a leading cause of mortality. RESEARCH QUESTION We hypothesized that applying machine learning to clinical and quantitative CT imaging features would improve mortality prediction in COPD. STUDY DESIGN AND METHODS We selected 30 clinical, spirometric, and imaging features as inputs for a random survival forest. We used top features in a Cox regression to create a machine learning mortality prediction (MLMP) in COPD model and also assessed the performance of other statistical and machine learning models. We trained the models in subjects with moderate to severe COPD from a subset of subjects in Genetic Epidemiology of COPD (COPDGene) and tested prediction performance in the remainder of individuals with moderate to severe COPD in COPDGene and Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints (ECLIPSE). We compared our model with the BMI, airflow obstruction, dyspnea, exercise capacity (BODE) index; BODE modifications; and the age, dyspnea, and airflow obstruction index. RESULTS We included 2,632 participants from COPDGene and 1,268 participants from ECLIPSE. The top predictors of mortality were 6-min walk distance, FEV1 % predicted, and age. The top imaging predictor was pulmonary artery-to-aorta ratio. The MLMP-COPD model resulted in a C index ≥ 0.7 in both COPDGene and ECLIPSE (6.4- and 7.2-year median follow-ups, respectively), significantly better than all tested mortality indexes (P < .05). The MLMP-COPD model had fewer predictors but similar performance to that of other models. The group with the highest BODE scores (7-10) had 64% mortality, whereas the highest mortality group defined by the MLMP-COPD model had 77% mortality (P = .012). INTERPRETATION An MLMP-COPD model outperformed four existing models for predicting all-cause mortality across two COPD cohorts. Performance of machine learning was similar to that of traditional statistical methods. The model is available online at: https://cdnm.shinyapps.io/cgmortalityapp/.
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Affiliation(s)
- Matthew Moll
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA
| | - Dandi Qiao
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA
| | - Elizabeth A Regan
- Division of Pulmonary and Critical Care Medicine, University of Colorado, Denver, CO
| | - Gary M Hunninghake
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA
| | - Barry J Make
- Division of Pulmonary and Critical Care Medicine, National Jewish Health, Denver, CO
| | | | - Michael J McGeachie
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA
| | - Peter J Castaldi
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA
| | - Raul San Jose Estepar
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA; Applied Chest Imaging Laboratory, Brigham and Women's Hospital, Boston, MA
| | - George R Washko
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA; Applied Chest Imaging Laboratory, Brigham and Women's Hospital, Boston, MA
| | - James M Wells
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - David LaFon
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - Matthew Strand
- Division of Pulmonary and Critical Care Medicine, National Jewish Health, Denver, CO
| | - Russell P Bowler
- Division of Pulmonary and Critical Care Medicine, University of Colorado, Denver, CO; Division of Pulmonary and Critical Care Medicine, National Jewish Health, Denver, CO
| | - MeiLan K Han
- Division of Pulmonary and Critical Care Medicine, University of Michigan Health System, Ann Arbor, MI
| | - Jorgen Vestbo
- Division of Infection, Immunity and Respiratory Medicine, Manchester Academic Health Sciences Centre, The University of Manchester and the Manchester University NHS Foundation Trust, Manchester, England
| | - Bartolome Celli
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA
| | - Peter Calverley
- Department of Medicine, University of Liverpool, Liverpool, England
| | - James Crapo
- Division of Pulmonary and Critical Care Medicine, National Jewish Health, Denver, CO
| | - Edwin K Silverman
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA
| | - Brian D Hobbs
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA
| | - Michael H Cho
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA.
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32
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Qiao D, Zigler CM, Cho MH, Silverman EK, Zhou X, Castaldi PJ, Laird NH. Statistical considerations for the analysis of massively parallel reporter assays data. Genet Epidemiol 2020; 44:785-794. [PMID: 32681690 DOI: 10.1002/gepi.22337] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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: 02/06/2020] [Revised: 06/12/2020] [Accepted: 07/03/2020] [Indexed: 01/23/2023]
Abstract
Noncoding DNA contains gene regulatory elements that alter gene expression, and the function of these elements can be modified by genetic variation. Massively parallel reporter assays (MPRA) enable high-throughput identification and characterization of functional genetic variants, but the statistical methods to identify allelic effects in MPRA data have not been fully developed. In this study, we demonstrate how the baseline allelic imbalance in MPRA libraries can produce biased results, and we propose a novel, nonparametric, adaptive testing method that is robust to this bias. We compare the performance of this method with other commonly used methods, and we demonstrate that our novel adaptive method controls Type I error in a wide range of scenarios while maintaining excellent power. We have implemented these tests along with routines for simulating MPRA data in the Analysis Toolset for MPRA (@MPRA), an R package for the design and analyses of MPRA experiments. It is publicly available at http://github.com/redaq/atMPRA.
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Affiliation(s)
- Dandi Qiao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Corwin M Zigler
- Department of Statistics and Data Sciences, Department of Women's Health, University of Texas at Austin, Austin, Texas
| | - Michael H Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.,Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Edwin K Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.,Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Xiaobo Zhou
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Peter J Castaldi
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.,Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Nan H Laird
- Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts
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Lin X, Liou YH, Li Y, Gong L, Li Y, Hao Y, Pham B, Xu S, Jiang Z, Li L, Peng Y, Qiao D, Lin H, Liu P, Wei W, Zhang G, Lee CH, Zhou X. FAM13A Represses AMPK Activity and Regulates Hepatic Glucose and Lipid Metabolism. iScience 2020; 23:100928. [PMID: 32151973 PMCID: PMC7063182 DOI: 10.1016/j.isci.2020.100928] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 02/12/2020] [Accepted: 02/17/2020] [Indexed: 12/14/2022] Open
Abstract
Obesity commonly co-exists with fatty liver disease with increasing health burden worldwide. Family with Sequence Similarity 13, Member A (FAM13A) has been associated with lipid levels and fat mass by genome-wide association studies (GWAS). However, the function of FAM13A in maintaining metabolic homeostasis in vivo remains unclear. Here, we demonstrated that rs2276936 in this locus has allelic-enhancer activity in massively parallel reporter assays (MPRA) and reporter assay. The DNA region containing rs2276936 regulates expression of endogenous FAM13A in HepG2 cells. In vivo, Fam13a-/- mice are protected from high-fat diet (HFD)-induced fatty liver accompanied by increased insulin sensitivity and reduced glucose production in liver. Mechanistically, loss of Fam13a led to the activation of AMP-activated protein kinase (AMPK) and increased mitochondrial respiration in primary hepatocytes. These findings demonstrate that FAM13A mediates obesity-related dysregulation of lipid and glucose homeostasis. Targeting FAM13A might be a promising treatment of obesity and fatty liver disease.
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Affiliation(s)
- Xin Lin
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
| | - Yae-Huei Liou
- Department of Genetics and Complex Diseases, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Yujun Li
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA; Guangzhou First People's Hospital, the Second Affiliated Hospital of South China University of Technology, Guangzhou, Guangdong 510180, China
| | - Lu Gong
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Yan Li
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Yuan Hao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Betty Pham
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Shuang Xu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Zhiqiang Jiang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Lijia Li
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Yifan Peng
- Department of Chemical and Biological Engineering, Tufts University, Boston, MA 02155, USA
| | - Dandi Qiao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Honghuang Lin
- Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
| | - Pengda Liu
- Lineberger Comprehensive Cancer Center and Department of Biochemistry and Biophysics, School of Medicine, The University of North Carolina, Chapel Hill, NC 27514, USA
| | - Wenyi Wei
- Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Guo Zhang
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Chih-Hao Lee
- Department of Genetics and Complex Diseases, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Xiaobo Zhou
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
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Qiao D, Li Y, Liu X, Zhang X, Qian X, Zhang H, Zhang G, Wang C. Association of obesity with bone mineral density and osteoporosis in adults: a systematic review and meta-analysis. Public Health 2020; 180:22-28. [PMID: 31837611 DOI: 10.1016/j.puhe.2019.11.001] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Revised: 09/02/2019] [Accepted: 11/04/2019] [Indexed: 12/20/2022]
Abstract
OBJECTIVES Results from previous studies investigating the association of obesity with bone mineral density (BMD) and osteoporosis (OP) are inconsistent. The purpose of the present study was to examine whether obesity is associated with BMD and the risk of OP. STUDY DESIGN This is a meta-analysis. METHODS A computerised literature search was conducted using the PubMed, Web of Science, China National Knowledge Internet (CNKI) (Chinese) and Wanfang (Chinese) databases for relevant articles published in English or Chinese before the end of December 2017. Means with standard deviations and odds ratios (ORs) with corresponding 95% confidence intervals (95% CIs) were computed to estimate the association between obesity and BMD and the risk of OP by using a random-effects model. In addition, a heterogeneity test and sensitivity analysis were conducted. RESULTS Adults with obesity had higher BMD than healthy-weight subjects in both the lumbar spine and femoral neck measurement sites. Obesity was positively related to BMD in the two sites, with merged weighted mean difference (WMD) of 0.07 g/cm2 in the lumbar spine (95% CI: 0.045, 0.095; P < 0.001; Pheterogeneity <0.001; I2 = 89.1%) and WMD of 0.087 g/cm2 in the femoral neck (95% CI: 0.063, 0.112; P < 0.001; Pheterogeneity <0.001; I2 = 92.8%). General obesity was negatively related to femoral neck OP, indicating that obesity is a protective factor for OP, with a merged OR of 0.169 (95% CI: 0.132, 0.216; P < 0.001; Pheterogeneity = 0.716; I2 = 0.0%). CONCLUSIONS Adults with obesity had significantly higher BMD than healthy-weight adults. Obesity was positively associated with BMD and negatively correlated with OP.
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Affiliation(s)
- D Qiao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Y Li
- Department of Clinical Pharmacology, School of Pharmaceutical Science, Zhengzhou University, Zhengzhou, Henan, PR China
| | - X Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - X Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - X Qian
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - H Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - G Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
| | - C Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
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Kachroo P, Hecker J, Chawes BL, Ahluwalia TS, Cho MH, Qiao D, Kelly RS, Chu SH, Virkud YV, Huang M, Barnes KC, Burchard EG, Eng C, Hu D, Celedón JC, Daya M, Levin AM, Gui H, Williams LK, Forno E, Mak ACY, Avila L, Soto-Quiros ME, Cloutier MM, Acosta-Pérez E, Canino G, Bønnelykke K, Bisgaard H, Raby BA, Lange C, Weiss ST, Lasky-Su JA. Whole Genome Sequencing Identifies CRISPLD2 as a Lung Function Gene in Children With Asthma. Chest 2019; 156:1068-1079. [PMID: 31557467 PMCID: PMC6904857 DOI: 10.1016/j.chest.2019.08.2202] [Citation(s) in RCA: 5] [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: 04/08/2019] [Revised: 08/02/2019] [Accepted: 08/22/2019] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Asthma is a common respiratory disorder with a highly heterogeneous nature that remains poorly understood. The objective was to use whole genome sequencing (WGS) data to identify regions of common genetic variation contributing to lung function in individuals with a diagnosis of asthma. METHODS WGS data were generated for 1,053 individuals from trios and extended pedigrees participating in the family-based Genetic Epidemiology of Asthma in Costa Rica study. Asthma affection status was defined through a physician's diagnosis of asthma, and most participants with asthma also had airway hyperresponsiveness (AHR) to methacholine. Family-based association tests for single variants were performed to assess the associations with lung function phenotypes. RESULTS A genome-wide significant association was identified between baseline FEV1/FVC ratio and a single-nucleotide polymorphism in the top hit cysteine-rich secretory protein LCCL domain-containing 2 (CRISPLD2) (rs12051168; P = 3.6 × 10-8 in the unadjusted model) that retained suggestive significance in the covariate-adjusted model (P = 5.6 × 10-6). Rs12051168 was also nominally associated with other related phenotypes: baseline FEV1 (P = 3.3 × 10-3), postbronchodilator (PB) FEV1 (7.3 × 10-3), and PB FEV1/FVC ratio (P = 2.7 × 10-3). The identified baseline FEV1/FVC ratio and rs12051168 association was meta-analyzed and replicated in three independent cohorts in which most participants with asthma also had confirmed AHR (combined weighted z-score P = .015) but not in cohorts without information about AHR. CONCLUSIONS These findings suggest that using specific asthma characteristics, such as AHR, can help identify more genetically homogeneous asthma subgroups with genotype-phenotype associations that may not be observed in all children with asthma. CRISPLD2 also may be important for baseline lung function in individuals with asthma who also may have AHR.
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Affiliation(s)
- Priyadarshini Kachroo
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Julian Hecker
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Bo L Chawes
- Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Tarunveer S Ahluwalia
- Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Michael H Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Dandi Qiao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Rachel S Kelly
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Su H Chu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Yamini V Virkud
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Pediatrics, Massachusetts General Hospital for Children and Harvard Medical School, Boston, MA
| | - Mengna Huang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Kathleen C Barnes
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado Anschutz Medical Campus, Colorado, CO
| | - Esteban G Burchard
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA
| | - Celeste Eng
- Department of Medicine, University of California San Francisco, San Francisco, CA
| | - Donglei Hu
- Department of Medicine, University of California San Francisco, San Francisco, CA
| | - Juan C Celedón
- Division of Pediatric Pulmonary Medicine, Allergy and Immunology, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA
| | - Michelle Daya
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado Anschutz Medical Campus, Colorado, CO
| | - Albert M Levin
- Department of Public Health Sciences, Henry Ford Health System, Detroit, MI; Center for Bioinformatics, Henry Ford Health System, Detroit, MI
| | - Hongsheng Gui
- Center for Individualized and Genomic Medicine Research, Henry Ford Health System, Detroit, MI; Department of Internal Medicine, Henry Ford Health System, Detroit, MI
| | - L Keoki Williams
- Center for Individualized and Genomic Medicine Research, Henry Ford Health System, Detroit, MI; Department of Internal Medicine, Henry Ford Health System, Detroit, MI
| | - Erick Forno
- Division of Pediatric Pulmonary Medicine, Allergy and Immunology, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA
| | - Angel C Y Mak
- Department of Medicine, University of California San Francisco, San Francisco, CA
| | - Lydiana Avila
- Department of Pediatrics, Hospital Nacional de Niños, San José, Costa Rica
| | | | | | - Edna Acosta-Pérez
- Behavioral Sciences Research Institute, University of Puerto Rico, San Juan, Puerto Rico
| | - Glorisa Canino
- Behavioral Sciences Research Institute, University of Puerto Rico, San Juan, Puerto Rico
| | - Klaus Bønnelykke
- Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Hans Bisgaard
- Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Benjamin A Raby
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Boston Children's Hospital and Harvard Medical School, Boston, MA
| | - Christoph Lange
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Scott T Weiss
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Jessica A Lasky-Su
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
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Prokopenko D, Sakornsakolpat P, Fier HL, Qiao D, Parker MM, McDonald MLN, Manichaikul A, Rich SS, Barr RG, Williams CJ, Brantly ML, Lange C, Beaty TH, Crapo JD, Silverman EK, Cho MH. Whole-Genome Sequencing in Severe Chronic Obstructive Pulmonary Disease. Am J Respir Cell Mol Biol 2019; 59:614-622. [PMID: 29949718 DOI: 10.1165/rcmb.2018-0088oc] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
Genome-wide association studies have identified common variants associated with chronic obstructive pulmonary disease (COPD). Whole-genome sequencing (WGS) offers comprehensive coverage of the entire genome, as compared with genotyping arrays or exome sequencing. We hypothesized that WGS in subjects with severe COPD and smoking control subjects with normal pulmonary function would allow us to identify novel genetic determinants of COPD. We sequenced 821 patients with severe COPD and 973 control subjects from the COPDGene and Boston Early-Onset COPD studies, including both non-Hispanic white and African American individuals. We performed single-variant and grouped-variant analyses, and in addition, we assessed the overlap of variants between sequencing- and array-based imputation. Our most significantly associated variant was in a known region near HHIP (combined P = 1.6 × 10-9); additional variants approaching genome-wide significance included previously described regions in CHRNA5, TNS1, and SERPINA6/SERPINA1 (the latter in African American individuals). None of our associations were clearly driven by rare variants, and we found minimal evidence of replication of genes identified by previously reported smaller sequencing studies. With WGS, we identified more than 20 million new variants, not seen with imputation, including more than 10,000 of potential importance in previously identified COPD genome-wide association study regions. WGS in severe COPD identifies a large number of potentially important functional variants, with the strongest associations being in known COPD risk loci, including HHIP and SERPINA1. Larger sample sizes will be needed to identify associated variants in novel regions of the genome.
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Affiliation(s)
- Dmitry Prokopenko
- 1 Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Phuwanat Sakornsakolpat
- 1 Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Heide Loehlein Fier
- 2 Working Group of Genomic Mathematics, University of Bonn, Bonn, Germany.,3 Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts
| | - Dandi Qiao
- 1 Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Margaret M Parker
- 1 Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Merry-Lynn N McDonald
- 4 Division of Pulmonary, Allergy and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, Alabama
| | - Ani Manichaikul
- 5 Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | - Stephen S Rich
- 5 Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | - R Graham Barr
- 6 Department of Medicine, College of Physicians and Surgeons and.,7 Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Christopher J Williams
- 8 Division of Pulmonary Critical Care and Sleep Medicine, College of Medicine, University of Florida, Gainesville, Florida
| | - Mark L Brantly
- 8 Division of Pulmonary Critical Care and Sleep Medicine, College of Medicine, University of Florida, Gainesville, Florida
| | - Christoph Lange
- 3 Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts
| | - Terri H Beaty
- 9 Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland; and
| | | | - Edwin K Silverman
- 1 Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Michael H Cho
- 1 Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
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Wu DY, Qiao D, Zhang X, Zhang HQ, Luo ZC, Wang Y, Pan J, Wang C. Lipid profiles as potential mediators linking body mass index to osteoporosis among Chinese adults: the Henan Rural Cohort Study. Osteoporos Int 2019; 30:1413-1422. [PMID: 30834945 DOI: 10.1007/s00198-019-04878-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Accepted: 01/24/2019] [Indexed: 12/17/2022]
Abstract
UNLABELLED This study is to examine the relationship between body mass index (BMI) and osteoporosis in rural areas of China, and then explore whether this association was mediated by lipid profiles. Results showed that with the increasing of BMI, the risk of osteoporosis was reduced, and lipid profiles mediate this association. INTRODUCTION To examine the relationship between BMI and osteoporosis, and explore whether this association was mediated by lipid profiles. METHODS A total of 8272 participants (18-79 years) were enrolled from the Henan Rural Cohort Study. The bone mineral density of the calcaneus was measured using an ultrasonic bone density apparatus. Logistic regression and restricted cubic splines were used to evaluate the odds ratio (OR) and 95% confidence intervals (95% CI). Mediation analysis using bootstrap was performed to examine the contribution of lipid profiles to BMI-related osteoporosis. RESULTS The crude and age-standardized prevalence of osteoporosis were 15.93% and 11.77%, respectively. The mean BMIs were 24.12 kg/m2 for participants with osteoporosis and 25.06 kg/m2 for non-osteoporosis participants (P < 0.001). After adjusting for potential confounders, subjects with obesity had a lower OR of osteoporosis (0.493 [95% CI: 0.405-0.600], Ptrend < 0.001) compared with normal-weight individuals. Mediation analysis showed that lipid profile partly mediated the relationship between BMI and osteoporosis with indirect effect OR (95% CI) of 0.985 (0.978-0.992), and the proportion explained of BMI was 15.48% for lipid profile. CONCLUSION With the increasing of BMI, the risk of osteoporosis was reduced in the Chinese adult population, and lipid profiles may be a potential mediator linking reduced risk of osteoporosis. Elucidating the underlying mechanisms will facilitate developing feasible preventive and therapeutic measures for osteoporosis. Chinese clinical trial register: ChiCTR-OOC-15006699.
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Affiliation(s)
- D Y Wu
- Department of Orthopaedic Surgery, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
- The Second Clinical Medical School, Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - D Qiao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - X Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - H Q Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - Z C Luo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - Y Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China
| | - J Pan
- Department of Orthopaedic Surgery, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China.
- The Second Clinical Medical School, Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China.
| | - C Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China.
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38
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Wang L, Lee S, Qiao D, Cho MH, Silverman EK, Lange C, Won S. metaFARVAT: An Efficient Tool for Meta-Analysis of Family-Based, Case-Control, and Population-Based Rare Variant Association Studies. Front Genet 2019; 10:572. [PMID: 31275357 PMCID: PMC6593391 DOI: 10.3389/fgene.2019.00572] [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] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Accepted: 05/31/2019] [Indexed: 11/13/2022] Open
Abstract
Family-based designs have been shown to be powerful in detecting the significant rare variants associated with human diseases. However, very few significant results have been found owing to relatively small sample sizes and the fact that statistical analyses often suffer from high false-negative error rates. These limitations can be avoided by combining results from multiple studies via meta-analysis. However, statistical methods for meta-analysis with rare variants are limited for family-based samples. In this report, we propose a tool for the meta-analysis of family-based rare variant associations, metaFARVAT. metaFARVAT is based on a quasi-likelihood score for each variant. These scores are combined to generate burden test, variable-threshold test, sequence kernel association test (SKAT), and optimal SKAT statistics. The proposed method tests homogeneous and heterogeneous effects of variants among different studies and can be applied to both quantitative and dichotomous phenotypes. Simulation results demonstrated the robustness and efficiency of the proposed method in different scenarios. By applying metaFARVAT to data from a family-based study and a case-control study, we identified a few promising candidate genes, including DLEC1, which is associated with chronic obstructive pulmonary disease.
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Affiliation(s)
- Longfei Wang
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, South Korea
| | - Sungyoung Lee
- Center for Precision Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Dandi Qiao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Michael H Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States.,Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, United States
| | - Edwin K Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States.,Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, United States
| | - Christoph Lange
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States.,Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Sungho Won
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, South Korea.,Department of Public Health Sciences, Seoul National University, Seoul, South Korea.,Institute of Health and Environment, Seoul National University, Seoul, South Korea
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39
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Shrine N, Guyatt AL, Erzurumluoglu AM, Jackson VE, Hobbs BD, Melbourne CA, Batini C, Fawcett KA, Song K, Sakornsakolpat P, Li X, Boxall R, Reeve NF, Obeidat M, Zhao JH, Wielscher M, Weiss S, Kentistou KA, Cook JP, Sun BB, Zhou J, Hui J, Karrasch S, Imboden M, Harris SE, Marten J, Enroth S, Kerr SM, Surakka I, Vitart V, Lehtimäki T, Allen RJ, Bakke PS, Beaty TH, Bleecker ER, Bossé Y, Brandsma CA, Chen Z, Crapo JD, Danesh J, DeMeo DL, Dudbridge F, Ewert R, Gieger C, Gulsvik A, Hansell AL, Hao K, Hoffman JD, Hokanson JE, Homuth G, Joshi PK, Joubert P, Langenberg C, Li X, Li L, Lin K, Lind L, Locantore N, Luan J, Mahajan A, Maranville JC, Murray A, Nickle DC, Packer R, Parker MM, Paynton ML, Porteous DJ, Prokopenko D, Qiao D, Rawal R, Runz H, Sayers I, Sin DD, Smith BH, Artigas MS, Sparrow D, Tal-Singer R, Timmers PRHJ, Van den Berge M, Whittaker JC, Woodruff PG, Yerges-Armstrong LM, Troyanskaya OG, Raitakari OT, Kähönen M, Polašek O, Gyllensten U, Rudan I, Deary IJ, Probst-Hensch NM, Schulz H, James AL, Wilson JF, Stubbe B, Zeggini E, Jarvelin MR, Wareham N, Silverman EK, Hayward C, Morris AP, Butterworth AS, Scott RA, Walters RG, Meyers DA, Cho MH, Strachan DP, Hall IP, Tobin MD, Wain LV. Author Correction: New genetic signals for lung function highlight pathways and chronic obstructive pulmonary disease associations across multiple ancestries. Nat Genet 2019; 51:1067. [PMID: 31110354 DOI: 10.1038/s41588-019-0438-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
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Affiliation(s)
- Nick Shrine
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Anna L Guyatt
- Department of Health Sciences, University of Leicester, Leicester, UK
| | | | - Victoria E Jackson
- Department of Health Sciences, University of Leicester, Leicester, UK.,Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.,Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia
| | - Brian D Hobbs
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.,Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Carl A Melbourne
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Chiara Batini
- Department of Health Sciences, University of Leicester, Leicester, UK
| | | | - Kijoung Song
- Target Sciences, GlaxoSmithKline, Collegeville, PA, USA
| | - Phuwanat Sakornsakolpat
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.,Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Xingnan Li
- Division of Genetics, Genomics and Precision Medicine, Department of Medicine, University of Arizona, Tucson, AZ, USA
| | - Ruth Boxall
- Nuffield Department of Population Health, University of Oxford, Oxford, UK.,Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
| | - Nicola F Reeve
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Ma'en Obeidat
- The University of British Columbia Centre for Heart Lung Innovation, St Paul's Hospital, Vancouver, British Columbia, Canada
| | - Jing Hua Zhao
- Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Matthias Wielscher
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment & Health, School of Public Health,Imperial College London, London, UK
| | | | - Stefan Weiss
- Interfaculty Institute for Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Katherine A Kentistou
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.,Centre for Cardiovascular Sciences, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - James P Cook
- Department of Biostatistics, University of Liverpool, Liverpool, UK
| | - Benjamin B Sun
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Jian Zhou
- Flatiron Institute, Simons Foundation, New York, NY, USA
| | - Jennie Hui
- Busselton Population Medical Research Institute, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia.,School of Population Health, The University of Western Australia, Crawley, Western Australia, Australia.,PathWest Laboratory Medicine of WA,Sir Charles Gairdner Hospital, Crawley, Western Australia, Australia.,School of Pathology and Laboratory Medicine, The University of Western Australia, Crawley, Western Australia, Australia
| | - Stefan Karrasch
- Institute of Epidemiology, Helmholtz Zentrum Muenchen-German Research Center for Environmental Health, Neuherberg, Germany.,Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, Ludwig-Maximilians-Universität, Munich, Germany.,Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Medea Imboden
- Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | - Sarah E Harris
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.,Centre for Genomic and Experimental Medicine, Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Jonathan Marten
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Stefan Enroth
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala Universitet, Uppsala, Sweden
| | - Shona M Kerr
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Ida Surakka
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.,The National Institute for Health and Welfare (THL), Helsinki, Finland
| | - Veronique Vitart
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland
| | - Richard J Allen
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Per S Bakke
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Terri H Beaty
- Department of Epidemiology, Johns Hopkins University School of Public Health, Baltimore, MD, USA
| | - Eugene R Bleecker
- Division of Genetics, Genomics and Precision Medicine, Department of Medicine, University of Arizona, Tucson, AZ, USA
| | - Yohan Bossé
- Department of Molecular Medicine, Laval University, Québec, Canada.,Institut Universitaire de Cardiologie et de Pneumologie de Québec,Laval University, Québec, Canada
| | - Corry-Anke Brandsma
- University of Groningen, University Medical Center Groningen, Department of Pathology and Medical Biology, GRIAC Research Institute,University of Groningen, Groningen, The Netherlands
| | - Zhengming Chen
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - James D Crapo
- National Jewish Health, Denver, CO, USA.,Division of Pulmonary, Critical Care and Sleep Medicine, National Jewish Health, Denver, CO, USA
| | - John Danesh
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.,British Heart Foundation Cambridge Centre of Excellence, Division of Cardiovascular Medicine,Addenbrooke's Hospital, Cambridge, UK.,Department of Human Genetics, Wellcome Trust Sanger Institute, Cambridge, UK.,NIHR Blood and Transplant Research Unit in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Dawn L DeMeo
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.,Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Frank Dudbridge
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Ralf Ewert
- Department of Internal Medicine B - Cardiology, Intensive Care, Pulmonary Medicine and Infectious Diseases, University Medicine Greifswald, Greifswald, Germany
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum Muenchen - German Research Center for Environmental Health, Neuherberg, Germany
| | - Amund Gulsvik
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Anna L Hansell
- Centre for Environmental Health & Sustainability, University of Leicester, Leicester, UK.,UK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, School of Public Health,Imperial College London, London, UK.,Imperial College Healthcare NHS Trust,St Mary's Hospital, London, UK
| | - Ke Hao
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - John E Hokanson
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Peter K Joshi
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Philippe Joubert
- Institut Universitaire de Cardiologie et de Pneumologie de Québec,Laval University, Québec, Canada.,Department of Molecular Biology, Medical Biochemistry, and Pathology,Laval University, Québec, Canada
| | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Xuan Li
- The University of British Columbia Centre for Heart Lung Innovation, St Paul's Hospital, Vancouver, British Columbia, Canada
| | - Liming Li
- Department of Epidemiology & Biostatistics, Peking University Health Science Center, Beijing, China
| | - Kuang Lin
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Lars Lind
- Department of Medical Sciences, Cardiovascular Epidemiology,Uppsala University, Uppsala, Sweden
| | | | - Jian'an Luan
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Anubha Mahajan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | | | - Alison Murray
- The Institute of Medical Sciences, Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, UK
| | - David C Nickle
- MRL, Merck & Co., Inc, Kenilworth, NJ, USA.,Gossamer Bio, San Diego, CA, USA
| | - Richard Packer
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Margaret M Parker
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Megan L Paynton
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - David J Porteous
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.,Centre for Genomic and Experimental Medicine, Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Dmitry Prokopenko
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Dandi Qiao
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Rajesh Rawal
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum Muenchen - German Research Center for Environmental Health, Neuherberg, Germany.,Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Heiko Runz
- MRL, Merck & Co., Inc, Kenilworth, NJ, USA
| | - Ian Sayers
- Division of Respiratory Medicine and NIHR-Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK
| | - Don D Sin
- The University of British Columbia Centre for Heart Lung Innovation, St Paul's Hospital, Vancouver, British Columbia, Canada.,Respiratory Division, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Blair H Smith
- Division of Population Health and Genomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK
| | - María Soler Artigas
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain.,Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain.,Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Barcelona, Spain
| | - David Sparrow
- VA Boston Healthcare System, Boston, MA, USA.,Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | | | - Paul R H J Timmers
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Maarten Van den Berge
- University of Groningen, University Medical Center Groningen, Department of Pulmonology, GRIAC Research Institute,University of Groningen, Groningen, The Netherlands
| | - John C Whittaker
- Target Sciences - R&D, GSK Medicines Research Centre, Stevenage, UK
| | - Prescott G Woodruff
- UCSF Pulmonary, Critical Care, Allergy and Sleep Medicine, University of California, San Francisco, CA, USA
| | | | - Olga G Troyanskaya
- Department of Computer Science, Princeton University, Princeton, NJ, USA.,Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Olli T Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland.,Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, and Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Life Sciences,University of Tampere, Tampere, Finland
| | - Ozren Polašek
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.,University of Split School of Medicine, Split, Croatia
| | - Ulf Gyllensten
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala Universitet, Uppsala, Sweden
| | - Igor Rudan
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.,Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Nicole M Probst-Hensch
- Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | - Holger Schulz
- Institute of Epidemiology, Helmholtz Zentrum Muenchen-German Research Center for Environmental Health, Neuherberg, Germany.,Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Alan L James
- Busselton Population Medical Research Institute, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia.,Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia.,School of Medicine and Pharmacology, The University of Western Australia, Crawley, Western Australia, Australia
| | - James F Wilson
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.,Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Beate Stubbe
- Department of Internal Medicine B - Cardiology, Intensive Care, Pulmonary Medicine and Infectious Diseases, University Medicine Greifswald, Greifswald, Germany
| | - Eleftheria Zeggini
- Wellcome Sanger Institute, Hinxton, UK.,Institute of Translational Genomics, Helmholtz Zentrum Muenchen - German Research Center for Environmental Health, Neuherberg, Germany
| | - Marjo-Riitta Jarvelin
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment & Health, School of Public Health,Imperial College London, London, UK.,Center for Life Course Health Research, Faculty of Medicine,University of Oulu, Oulu, Finland.,Biocenter Oulu, University of Oulu, Oulu, Finland.,Unit of Primary Health Care, Oulu University Hospital, Oulu, Finland.,Department of Life Sciences, College of Health and Life Sciences, Brunel University London, Uxbridge, UK
| | - Nick Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Edwin K Silverman
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.,Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Caroline Hayward
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Andrew P Morris
- Department of Biostatistics, University of Liverpool, Liverpool, UK.,Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Adam S Butterworth
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.,NIHR Blood and Transplant Research Unit in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Robert A Scott
- Target Sciences - R&D, GSK Medicines Research Centre, Stevenage, UK
| | - Robin G Walters
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Deborah A Meyers
- Division of Genetics, Genomics and Precision Medicine, Department of Medicine, University of Arizona, Tucson, AZ, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.,Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - David P Strachan
- Population Health Research Institute, St George's, University of London, London, UK
| | - Ian P Hall
- Division of Respiratory Medicine and NIHR-Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK
| | - Martin D Tobin
- Department of Health Sciences, University of Leicester, Leicester, UK. .,National Institute for Health Research, Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, UK.
| | - Louise V Wain
- Department of Health Sciences, University of Leicester, Leicester, UK. .,National Institute for Health Research, Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, UK.
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40
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Shrine N, Guyatt AL, Erzurumluoglu AM, Jackson VE, Hobbs BD, Melbourne CA, Batini C, Fawcett KA, Song K, Sakornsakolpat P, Li X, Boxall R, Reeve NF, Obeidat M, Zhao JH, Wielscher M, Weiss S, Kentistou KA, Cook JP, Sun BB, Zhou J, Hui J, Karrasch S, Imboden M, Harris SE, Marten J, Enroth S, Kerr SM, Surakka I, Vitart V, Lehtimäki T, Allen RJ, Bakke PS, Beaty TH, Bleecker ER, Bossé Y, Brandsma CA, Chen Z, Crapo JD, Danesh J, DeMeo DL, Dudbridge F, Ewert R, Gieger C, Gulsvik A, Hansell AL, Hao K, Hoffman JD, Hokanson JE, Homuth G, Joshi PK, Joubert P, Langenberg C, Li X, Li L, Lin K, Lind L, Locantore N, Luan J, Mahajan A, Maranville JC, Murray A, Nickle DC, Packer R, Parker MM, Paynton ML, Porteous DJ, Prokopenko D, Qiao D, Rawal R, Runz H, Sayers I, Sin DD, Smith BH, Soler Artigas M, Sparrow D, Tal-Singer R, Timmers PRHJ, Van den Berge M, Whittaker JC, Woodruff PG, Yerges-Armstrong LM, Troyanskaya OG, Raitakari OT, Kähönen M, Polašek O, Gyllensten U, Rudan I, Deary IJ, Probst-Hensch NM, Schulz H, James AL, Wilson JF, Stubbe B, Zeggini E, Jarvelin MR, Wareham N, Silverman EK, Hayward C, Morris AP, Butterworth AS, Scott RA, Walters RG, Meyers DA, Cho MH, Strachan DP, Hall IP, Tobin MD, Wain LV. New genetic signals for lung function highlight pathways and chronic obstructive pulmonary disease associations across multiple ancestries. Nat Genet 2019; 51:481-493. [PMID: 30804560 PMCID: PMC6397078 DOI: 10.1038/s41588-018-0321-7] [Citation(s) in RCA: 257] [Impact Index Per Article: 51.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Accepted: 11/27/2018] [Indexed: 02/02/2023]
Abstract
Reduced lung function predicts mortality and is key to the diagnosis of chronic obstructive pulmonary disease (COPD). In a genome-wide association study in 400,102 individuals of European ancestry, we define 279 lung function signals, 139 of which are new. In combination, these variants strongly predict COPD in independent populations. Furthermore, the combined effect of these variants showed generalizability across smokers and never smokers, and across ancestral groups. We highlight biological pathways, known and potential drug targets for COPD and, in phenome-wide association studies, autoimmune-related and other pleiotropic effects of lung function-associated variants. This new genetic evidence has potential to improve future preventive and therapeutic strategies for COPD.
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Affiliation(s)
- Nick Shrine
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Anna L Guyatt
- Department of Health Sciences, University of Leicester, Leicester, UK
| | | | - Victoria E Jackson
- Department of Health Sciences, University of Leicester, Leicester, UK
- Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
- Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia
| | - Brian D Hobbs
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Carl A Melbourne
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Chiara Batini
- Department of Health Sciences, University of Leicester, Leicester, UK
| | | | - Kijoung Song
- Target Sciences, GlaxoSmithKline, Collegeville, PA, USA
| | - Phuwanat Sakornsakolpat
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Xingnan Li
- Division of Genetics, Genomics and Precision Medicine, Department of Medicine, University of Arizona, Tucson, AZ, USA
| | - Ruth Boxall
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
| | - Nicola F Reeve
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Ma'en Obeidat
- The University of British Columbia Centre for Heart Lung Innovation, St Paul's Hospital, Vancouver, British Columbia, Canada
| | - Jing Hua Zhao
- Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Matthias Wielscher
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment & Health, School of Public Health, Imperial College London, London, UK
| | - Stefan Weiss
- Interfaculty Institute for Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Katherine A Kentistou
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
- Centre for Cardiovascular Sciences, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - James P Cook
- Department of Biostatistics, University of Liverpool, Liverpool, UK
| | - Benjamin B Sun
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Jian Zhou
- Flatiron Institute, Simons Foundation, New York, NY, USA
| | - Jennie Hui
- Busselton Population Medical Research Institute, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia
- School of Population Health, The University of Western Australia, Crawley, Western Australia, Australia
- PathWest Laboratory Medicine of WA, Sir Charles Gairdner Hospital, Crawley, Western Australia, Australia
- School of Pathology and Laboratory Medicine, The University of Western Australia, Crawley, Western Australia, Australia
| | - Stefan Karrasch
- Institute of Epidemiology, Helmholtz Zentrum Muenchen-German Research Center for Environmental Health, Neuherberg, Germany
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, Ludwig-Maximilians-Universität, Munich, Germany
- Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Medea Imboden
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Sarah E Harris
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Centre for Genomic and Experimental Medicine, Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Jonathan Marten
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Stefan Enroth
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala Universitet, Uppsala, Sweden
| | - Shona M Kerr
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Ida Surakka
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- The National Institute for Health and Welfare (THL), Helsinki, Finland
| | - Veronique Vitart
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland
| | - Richard J Allen
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Per S Bakke
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Terri H Beaty
- Department of Epidemiology, Johns Hopkins University School of Public Health, Baltimore, MD, USA
| | - Eugene R Bleecker
- Division of Genetics, Genomics and Precision Medicine, Department of Medicine, University of Arizona, Tucson, AZ, USA
| | - Yohan Bossé
- Department of Molecular Medicine, Laval University, Québec, Canada
- Institut Universitaire de Cardiologie et de Pneumologie de Québec, Laval University, Québec, Canada
| | - Corry-Anke Brandsma
- University of Groningen, University Medical Center Groningen, Department of Pathology and Medical Biology, GRIAC Research Institute, University of Groningen, Groningen, The Netherlands
| | - Zhengming Chen
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - James D Crapo
- National Jewish Health, Denver, CO, USA
- Division of Pulmonary, Critical Care and Sleep Medicine, National Jewish Health, Denver, CO, USA
| | - John Danesh
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- British Heart Foundation Cambridge Centre of Excellence, Division of Cardiovascular Medicine, Addenbrooke's Hospital, Cambridge, UK
- Department of Human Genetics, Wellcome Trust Sanger Institute, Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Dawn L DeMeo
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Frank Dudbridge
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Ralf Ewert
- Department of Internal Medicine B - Cardiology, Intensive Care, Pulmonary Medicine and Infectious Diseases, University Medicine Greifswald, Greifswald, Germany
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum Muenchen - German Research Center for Environmental Health, Neuherberg, Germany
| | - Amund Gulsvik
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Anna L Hansell
- Centre for Environmental Health & Sustainability, University of Leicester, Leicester, UK
- UK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Imperial College Healthcare NHS Trust, St Mary's Hospital, London, UK
| | - Ke Hao
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - John E Hokanson
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Peter K Joshi
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Philippe Joubert
- Institut Universitaire de Cardiologie et de Pneumologie de Québec, Laval University, Québec, Canada
- Department of Molecular Biology, Medical Biochemistry, and Pathology, Laval University, Québec, Canada
| | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Xuan Li
- The University of British Columbia Centre for Heart Lung Innovation, St Paul's Hospital, Vancouver, British Columbia, Canada
| | - Liming Li
- Department of Epidemiology & Biostatistics, Peking University Health Science Center, Beijing, China
| | - Kuang Lin
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Lars Lind
- Department of Medical Sciences, Cardiovascular Epidemiology, Uppsala University, Uppsala, Sweden
| | | | - Jian'an Luan
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Anubha Mahajan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | | | - Alison Murray
- The Institute of Medical Sciences, Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, UK
| | - David C Nickle
- MRL, Merck & Co., Inc, Kenilworth, NJ, USA
- Gossamer Bio, San Diego, CA, USA
| | - Richard Packer
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Margaret M Parker
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Megan L Paynton
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - David J Porteous
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Centre for Genomic and Experimental Medicine, Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Dmitry Prokopenko
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Dandi Qiao
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Rajesh Rawal
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum Muenchen - German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Heiko Runz
- MRL, Merck & Co., Inc, Kenilworth, NJ, USA
| | - Ian Sayers
- Division of Respiratory Medicine and NIHR-Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK
| | - Don D Sin
- The University of British Columbia Centre for Heart Lung Innovation, St Paul's Hospital, Vancouver, British Columbia, Canada
- Respiratory Division, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Blair H Smith
- Division of Population Health and Genomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK
| | - María Soler Artigas
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Barcelona, Spain
| | - David Sparrow
- VA Boston Healthcare System, Boston, MA, USA
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | | | - Paul R H J Timmers
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Maarten Van den Berge
- University of Groningen, University Medical Center Groningen, Department of Pulmonology, GRIAC Research Institute, University of Groningen, Groningen, The Netherlands
| | - John C Whittaker
- Target Sciences - R&D, GSK Medicines Research Centre, Stevenage, UK
| | - Prescott G Woodruff
- UCSF Pulmonary, Critical Care, Allergy and Sleep Medicine, University of California, San Francisco, CA, USA
| | | | - Olga G Troyanskaya
- Department of Computer Science, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Olli T Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, and Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland
| | - Ozren Polašek
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
- University of Split School of Medicine, Split, Croatia
| | - Ulf Gyllensten
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala Universitet, Uppsala, Sweden
| | - Igor Rudan
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Nicole M Probst-Hensch
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Holger Schulz
- Institute of Epidemiology, Helmholtz Zentrum Muenchen-German Research Center for Environmental Health, Neuherberg, Germany
- Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Alan L James
- Busselton Population Medical Research Institute, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia
- Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia
- School of Medicine and Pharmacology, The University of Western Australia, Crawley, Western Australia, Australia
| | - James F Wilson
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Beate Stubbe
- Department of Internal Medicine B - Cardiology, Intensive Care, Pulmonary Medicine and Infectious Diseases, University Medicine Greifswald, Greifswald, Germany
| | - Eleftheria Zeggini
- Wellcome Sanger Institute, Hinxton, UK
- Institute of Translational Genomics, Helmholtz Zentrum Muenchen - German Research Center for Environmental Health, Neuherberg, Germany
| | - Marjo-Riitta Jarvelin
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment & Health, School of Public Health, Imperial College London, London, UK
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Unit of Primary Health Care, Oulu University Hospital, Oulu, Finland
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, Uxbridge, UK
| | - Nick Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Edwin K Silverman
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Caroline Hayward
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Andrew P Morris
- Department of Biostatistics, University of Liverpool, Liverpool, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Adam S Butterworth
- MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Robert A Scott
- Target Sciences - R&D, GSK Medicines Research Centre, Stevenage, UK
| | - Robin G Walters
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Deborah A Meyers
- Division of Genetics, Genomics and Precision Medicine, Department of Medicine, University of Arizona, Tucson, AZ, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - David P Strachan
- Population Health Research Institute, St George's, University of London, London, UK
| | - Ian P Hall
- Division of Respiratory Medicine and NIHR-Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK
| | - Martin D Tobin
- Department of Health Sciences, University of Leicester, Leicester, UK.
- National Institute for Health Research, Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, UK.
| | - Louise V Wain
- Department of Health Sciences, University of Leicester, Leicester, UK.
- National Institute for Health Research, Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, UK.
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Sakornsakolpat P, Prokopenko D, Lamontagne M, Reeve NF, Guyatt AL, Jackson VE, Shrine N, Qiao D, Bartz TM, Kim DK, Lee MK, Latourelle JC, Li X, Morrow JD, Obeidat M, Wyss AB, Bakke P, Barr RG, Beaty TH, Belinsky SA, Brusselle GG, Crapo JD, de Jong K, DeMeo DL, Fingerlin TE, Gharib SA, Gulsvik A, Hall IP, Hokanson JE, Kim WJ, Lomas DA, London SJ, Meyers DA, O'Connor GT, Rennard SI, Schwartz DA, Sliwinski P, Sparrow D, Strachan DP, Tal-Singer R, Tesfaigzi Y, Vestbo J, Vonk JM, Yim JJ, Zhou X, Bossé Y, Manichaikul A, Lahousse L, Silverman EK, Boezen HM, Wain LV, Tobin MD, Hobbs BD, Cho MH. Genetic landscape of chronic obstructive pulmonary disease identifies heterogeneous cell-type and phenotype associations. Nat Genet 2019; 51:494-505. [PMID: 30804561 PMCID: PMC6546635 DOI: 10.1038/s41588-018-0342-2] [Citation(s) in RCA: 194] [Impact Index Per Article: 38.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2018] [Accepted: 12/20/2018] [Indexed: 11/09/2022]
Abstract
Chronic obstructive pulmonary disease (COPD) is the leading cause of respiratory mortality worldwide. Genetic risk loci provide new insights into disease pathogenesis. We performed a genome-wide association study in 35,735 cases and 222,076 controls from the UK Biobank and additional studies from the International COPD Genetics Consortium. We identified 82 loci associated with P < 5 × 10-8; 47 of these were previously described in association with either COPD or population-based measures of lung function. Of the remaining 35 new loci, 13 were associated with lung function in 79,055 individuals from the SpiroMeta consortium. Using gene expression and regulation data, we identified functional enrichment of COPD risk loci in lung tissue, smooth muscle, and several lung cell types. We found 14 COPD loci shared with either asthma or pulmonary fibrosis. COPD genetic risk loci clustered into groups based on associations with quantitative imaging features and comorbidities. Our analyses provide further support for the genetic susceptibility and heterogeneity of COPD.
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Affiliation(s)
- Phuwanat Sakornsakolpat
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Dmitry Prokopenko
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Genetics and Aging Research Unit, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Maxime Lamontagne
- Institut Universitaire de Cardiologie et de Pneumologie de Québec, Québec, Quebec, Canada
| | - Nicola F Reeve
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK
| | - Anna L Guyatt
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK
| | - Victoria E Jackson
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK
| | - Nick Shrine
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK
| | - Dandi Qiao
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Traci M Bartz
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA
- Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Deog Kyeom Kim
- Seoul National University College of Medicine, SMG-SNU Boramae Medical Center, Seoul, South Korea
| | - Mi Kyeong Lee
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Raleigh, NC, USA
| | - Jeanne C Latourelle
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Xingnan Li
- Department of Medicine, University of Arizona, Tucson, AZ, USA
| | - Jarrett D Morrow
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Ma'en Obeidat
- University of British Columbia Center for Heart Lung Innovation, St. Paul's Hospital, Vancouver, British Columbia, Canada
| | - Annah B Wyss
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Raleigh, NC, USA
| | - Per Bakke
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - R Graham Barr
- Department of Medicine, College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Terri H Beaty
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | | | - Guy G Brusselle
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
- Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium
- Department of Respiratory Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | - James D Crapo
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, National Jewish Health, Denver, CO, USA
| | - Kim de Jong
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, the Netherlands
- University of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD (GRIAC), Groningen, the Netherlands
| | - Dawn L DeMeo
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Tasha E Fingerlin
- Center for Genes, Environment and Health, National Jewish Health, Denver, CO, USA
- Department of Biostatistics and Informatics, University of Colorado Denver, Aurora, CO, USA
| | - Sina A Gharib
- Computational Medicine Core, Center for Lung Biology, UW Medicine Sleep Center, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Amund Gulsvik
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Ian P Hall
- Division of Respiratory Medicine, Queen's Medical Centre, University of Nottingham, Nottingham, UK
- National Institute for Health Research Nottingham Biomedical Research Centre, Nottingham, UK
| | - John E Hokanson
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Woo Jin Kim
- Department of Internal Medicine and Environmental Health Center, School of Medicine, Kangwon National University, Chuncheon, South Korea
| | - David A Lomas
- UCL Respiratory, University College London, London, UK
| | - Stephanie J London
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Raleigh, NC, USA
| | | | - George T O'Connor
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, USA
- Pulmonary Center, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Stephen I Rennard
- Pulmonary, Critical Care, Sleep and Allergy Division, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, USA
- Clinical Discovery Unit, AstraZeneca, Cambridge, UK
| | - David A Schwartz
- Department of Medicine, School of Medicine, University of Colorado Denver, Aurora, CO, USA
- Department of Immunology, School of Medicine, University of Colorado Denver, Aurora, CO, USA
| | - Pawel Sliwinski
- 2nd Department of Respiratory Medicine, Institute of Tuberculosis and Lung Diseases, Warsaw, Poland
| | - David Sparrow
- VA Boston Healthcare System and Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - David P Strachan
- Population Health Research Institute, St. George's University of London, London, UK
| | | | | | - Jørgen Vestbo
- School of Biological Sciences, University of Manchester, Manchester, UK
| | - Judith M Vonk
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, the Netherlands
- University of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD (GRIAC), Groningen, the Netherlands
| | - Jae-Joon Yim
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Xiaobo Zhou
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Yohan Bossé
- Institut Universitaire de Cardiologie et de Pneumologie de Québec, Québec, Quebec, Canada
- Department of Molecular Medicine, Laval University, Québec, Québec, Canada
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Lies Lahousse
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
- Department of Bioanalysis, Ghent University, Ghent, Belgium
| | - Edwin K Silverman
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - H Marike Boezen
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, the Netherlands
- University of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD (GRIAC), Groningen, the Netherlands
| | - Louise V Wain
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK
- National Institute for Health Research Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Martin D Tobin
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK
- National Institute for Health Research Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Brian D Hobbs
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA.
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Castaldi PJ, Guo F, Qiao D, Du F, Naing ZZC, Li Y, Pham B, Mikkelsen TS, Cho MH, Silverman EK, Zhou X. Identification of Functional Variants in the FAM13A Chronic Obstructive Pulmonary Disease Genome-Wide Association Study Locus by Massively Parallel Reporter Assays. Am J Respir Crit Care Med 2019; 199:52-61. [PMID: 30079747 PMCID: PMC6353020 DOI: 10.1164/rccm.201802-0337oc] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [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: 02/21/2018] [Accepted: 08/01/2018] [Indexed: 12/26/2022] Open
Abstract
RATIONALE The identification of causal variants responsible for disease associations from genome-wide association studies (GWASs) facilitates functional understanding of the biological mechanisms by which those genetic variants influence disease susceptibility. OBJECTIVE We aim to identify causal variants in or near the FAM13A (family with sequence similarity member 13A) GWAS locus associated with chronic obstructive pulmonary disease (COPD). METHODS We used an integrated approach featuring conditional genetic analysis, massively parallel reporter assays (MPRAs), traditional reporter assays, chromatin conformation capture assays, and clustered regularly interspaced short palindromic repeats (CRISPR)-based gene editing to characterize COPD-associated regulatory variants in the FAM13A region in human bronchial epithelial cell lines. MEASUREMENTS AND MAIN RESULTS Conditional genetic association suggests the presence of two independent COPD association signals in FAM13A. MPRAs identified 45 regulatory variants within FAM13A, among which six variants were prioritized for further investigation. Three COPD-associated variants demonstrated significant allele-specific activity in reporter assays. One of three variants, rs2013701, was tested in the endogenous genomic context by CRISPR-based genome editing that confirmed its allele-specific effects on FAM13A expression and on cell proliferation, providing functional characterization for this COPD-associated variant. CONCLUSIONS The human GWAS association near FAM13A may contain independent association signals. MPRAs identified multiple functional variants in this region, including rs2013701, a putative COPD-causing variant with allele-specific regulatory activity.
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Affiliation(s)
- Peter J. Castaldi
- Channing Division of Network Medicine and
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts; and
| | - Feng Guo
- Channing Division of Network Medicine and
| | - Dandi Qiao
- Channing Division of Network Medicine and
| | - Fei Du
- Channing Division of Network Medicine and
| | | | - Yan Li
- Channing Division of Network Medicine and
| | - Betty Pham
- Channing Division of Network Medicine and
| | | | - Michael H. Cho
- Channing Division of Network Medicine and
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts; and
| | - Edwin K. Silverman
- Channing Division of Network Medicine and
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts; and
| | - Xiaobo Zhou
- Channing Division of Network Medicine and
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts; and
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43
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Qiao D, Ameli A, Prokopenko D, Chen H, Kho AT, Parker MM, Morrow J, Hobbs BD, Liu Y, Beaty TH, Crapo JD, Barnes KC, Nickerson DA, Bamshad M, Hersh CP, Lomas DA, Agusti A, Make BJ, Calverley PMA, Donner CF, Wouters EF, Vestbo J, Paré PD, Levy RD, Rennard SI, Tal-Singer R, Spitz MR, Sharma A, Ruczinski I, Lange C, Silverman EK, Cho MH. Whole exome sequencing analysis in severe chronic obstructive pulmonary disease. Hum Mol Genet 2018; 27:3801-3812. [PMID: 30060175 PMCID: PMC6196654 DOI: 10.1093/hmg/ddy269] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [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: 02/13/2018] [Revised: 07/09/2018] [Accepted: 07/17/2018] [Indexed: 12/13/2022] Open
Abstract
Chronic obstructive pulmonary disease (COPD), one of the leading causes of death worldwide, is substantially influenced by genetic factors. Alpha-1 antitrypsin deficiency demonstrates that rare coding variants of large effect can influence COPD susceptibility. To identify additional rare coding variants in patients with severe COPD, we conducted whole exome sequencing analysis in 2543 subjects from two family-based studies (Boston Early-Onset COPD Study and International COPD Genetics Network) and one case-control study (COPDGene). Applying a gene-based segregation test in the family-based data, we identified significant segregation of rare loss of function variants in TBC1D10A and RFPL1 (P-value < 2x10-6), but were unable to find similar variants in the case-control study. In single-variant, gene-based and pathway association analyses, we were unable to find significant findings that replicated or were significant in meta-analysis. However, we found that the top results in the two datasets were in proximity to each other in the protein-protein interaction network (P-value = 0.014), suggesting enrichment of these results for similar biological processes. A network of these association results and their neighbors was significantly enriched in the transforming growth factor beta-receptor binding and cilia-related pathways. Finally, in a more detailed examination of candidate genes, we identified individuals with putative high-risk variants, including patients harboring homozygous mutations in genes associated with cutis laxa and Niemann-Pick Disease Type C. Our results likely reflect heterogeneity of genetic risk for COPD along with limitations of statistical power and functional annotation, and highlight the potential of network analysis to gain insight into genetic association studies.
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Affiliation(s)
- Dandi Qiao
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Asher Ameli
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Department of Physics, Northeastern University, Boston, Massachusetts, United States of America
| | - Dmitry Prokopenko
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - 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, Texas, United States of America
- Center for Precision Health, School of Public Health and School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America
| | - Alvin T Kho
- Boston Children’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Margaret M Parker
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Jarrett Morrow
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Brian D Hobbs
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Yanhong Liu
- Dan L. Duncan Comprehensive Cancer Center, Department of Medicine, Baylor College of Medicine, Houston, Texas, United States of America
| | - Terri H Beaty
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - James D Crapo
- National Jewish Health, Denver, Colorado, United States of America
| | - Kathleen C Barnes
- Division of Allergy and Clinical Immunology, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Deborah A Nickerson
- Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America
| | - Michael Bamshad
- Division of Genetic Medicine, Department of Pediatrics, University of Washington and Seattle Children’s Hospital, Seattle, Washington , United States of America
| | - Craig P Hersh
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | | | - Alvar Agusti
- Respiratory Institute, Hospital Clinic, IDIBAPS, University of Barcelona, CIBERES, Barcelona, Spain
| | - Barry J Make
- National Jewish Health, Denver, Colorado, United States of America
| | | | - Claudio F Donner
- Mondo Medico di I.F.I.M. srl, Multidisciplinary and Rehabilitation Outpatient Clinic, Borgomanero, Novara, Italy
| | - Emiel F Wouters
- Department of Respiratory Medicine, Maastricht University Medical Center, AZ Maastricht, The Netherlands
| | - Jørgen Vestbo
- University of Manchester, Manchester, United Kingdom
| | - Peter D Paré
- Respiratory Division, Department of Medicine, University of British Columbia, Vancouver, British Columbia V6T, Canada
| | - Robert D Levy
- Respiratory Division, Department of Medicine, University of British Columbia, Vancouver, British Columbia V6T, Canada
| | - Stephen I Rennard
- University of Nebraska Medical Center, Omaha, Nebraska, United States of America
- AstraZeneca, Cambridge CB2 0RE, United Kingdom
| | - Ruth Tal-Singer
- GSK Research and Development, KingOf Prussia, Pennsylvania, United States of America
| | - Margaret R Spitz
- Dan L. Duncan Comprehensive Cancer Center, Department of Medicine, Baylor College of Medicine, Houston, Texas, United States of America
| | - Amitabh Sharma
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Christoph Lange
- Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, United States of America
| | - Edwin K Silverman
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Michael H Cho
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Channing Division of Network Medicine, Longwood Avenue, Boston, MA, USA
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Liu Y, Lusk CM, Cho MH, Silverman EK, Qiao D, Zhang R, Scheurer ME, Kheradmand F, Wheeler DA, Tsavachidis S, Armstrong G, Zhu D, Wistuba II, Chow CWB, Behrens C, Pikielny CW, Neslund-Dudas C, Pinney SM, Anderson M, Kupert E, Bailey-Wilson J, Gaba C, Mandal D, You M, de Andrade M, Yang P, Field JK, Liloglou T, Davies M, Lissowska J, Swiatkowska B, Zaridze D, Mukeriya A, Janout V, Holcatova I, Mates D, Milosavljevic S, Scelo G, Brennan P, McKay J, Liu G, Hung RJ, Christiani DC, Schwartz AG, Amos CI, Spitz MR. Rare Variants in Known Susceptibility Loci and Their Contribution to Risk of Lung Cancer. J Thorac Oncol 2018; 13:1483-1495. [PMID: 29981437 PMCID: PMC6366341 DOI: 10.1016/j.jtho.2018.06.016] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [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: 04/12/2018] [Revised: 06/06/2018] [Accepted: 06/17/2018] [Indexed: 10/28/2022]
Abstract
BACKGROUND Genome-wide association studies are widely used to map genomic regions contributing to lung cancer (LC) susceptibility, but they typically do not identify the precise disease-causing genes/variants. To unveil the inherited genetic variants that cause LC, we performed focused exome-sequencing analyses on genes located in 121 genome-wide association study-identified loci previously implicated in the risk of LC, chronic obstructive pulmonary disease, pulmonary function level, and smoking behavior. METHODS Germline DNA from 260 case patients with LC and 318 controls were sequenced by utilizing VCRome 2.1 exome capture. Filtering was based on enrichment of rare and potential deleterious variants in cases (risk alleles) or controls (protective alleles). Allelic association analyses of single-variant and gene-based burden tests of multiple variants were performed. Promising candidates were tested in two independent validation studies with a total of 1773 case patients and 1123 controls. RESULTS We identified 48 rare variants with deleterious effects in the discovery analysis and validated 12 of the 43 candidates that were covered in the validation platforms. The top validated candidates included one well-established truncating variant, namely, BRCA2, DNA repair associated gene (BRCA2) K3326X (OR = 2.36, 95% confidence interval [CI]: 1.38-3.99), and three newly identified variations, namely, lymphotoxin beta gene (LTB) p.Leu87Phe (OR = 7.52, 95% CI: 1.01-16.56), prolyl 3-hydroxylase 2 gene (P3H2) p.Gln185His (OR = 5.39, 95% CI: 0.75-15.43), and dishevelled associated activator of morphogenesis 2 gene (DAAM2) p.Asp762Gly (OR = 0.25, 95% CI: 0.10-0.79). Burden tests revealed strong associations between zinc finger protein 93 gene (ZNF93), DAAM2, bromodomain containing 9 gene (BRD9), and the gene LTB and LC susceptibility. CONCLUSION Our results extend the catalogue of regions associated with LC and highlight the importance of germline rare coding variants in LC susceptibility.
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Affiliation(s)
- Yanhong Liu
- Dan L. Duncan Comprehensive Cancer Center, Department of Medicine, Baylor College of Medicine, Houston, Texas.
| | - Christine M Lusk
- Karmanos Cancer Institute, Wayne State University, Detroit, Michigan
| | - Michael H Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Edwin K Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Dandi Qiao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Ruyang Zhang
- Harvard University School of Public Health, Boston, Massachusetts
| | | | - Farrah Kheradmand
- Dan L. Duncan Comprehensive Cancer Center, Department of Medicine, Baylor College of Medicine, Houston, Texas; Michael E. DeBakey Veterans Affairs Medical Center; Houston, Texas
| | - David A Wheeler
- Department of Molecular and Human Genetics, Human Genome Sequence Center, Baylor College of Medicine, Houston, Texas
| | - Spiridon Tsavachidis
- Dan L. Duncan Comprehensive Cancer Center, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Georgina Armstrong
- Dan L. Duncan Comprehensive Cancer Center, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Dakai Zhu
- Dan L. Duncan Comprehensive Cancer Center, Department of Medicine, Baylor College of Medicine, Houston, Texas; Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas
| | - Ignacio I Wistuba
- Department of Translational Molecular Pathology, The University of Texas M. D. Anderson Cancer Center, Houston, Texas
| | - Chi-Wan B Chow
- Department of Translational Molecular Pathology, The University of Texas M. D. Anderson Cancer Center, Houston, Texas
| | - Carmen Behrens
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas M. D. Anderson Cancer Center, Houston, Texas
| | - Claudio W Pikielny
- Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire
| | | | - Susan M Pinney
- University of Cincinnati College of Medicine, Cincinnati, Ohio
| | | | - Elena Kupert
- University of Cincinnati College of Medicine, Cincinnati, Ohio
| | | | - Colette Gaba
- The University of Toledo College of Medicine, Toledo, Ohio
| | - Diptasri Mandal
- Louisiana State University Health Sciences Center, New Orleans, Louisiana
| | - Ming You
- Medical College of Wisconsin, Milwaukee, Wisconsin
| | | | - Ping Yang
- Mayo Clinic College of Medicine, Rochester, Minnesota
| | - John K Field
- Roy Castle Lung Cancer Research Programme, The University of Liverpool, Department of Molecular and Clinical Cancer Medicine, Liverpool, United Kingdom
| | - Triantafillos Liloglou
- Roy Castle Lung Cancer Research Programme, The University of Liverpool, Department of Molecular and Clinical Cancer Medicine, Liverpool, United Kingdom
| | - Michael Davies
- Roy Castle Lung Cancer Research Programme, The University of Liverpool, Department of Molecular and Clinical Cancer Medicine, Liverpool, United Kingdom
| | | | - Beata Swiatkowska
- Nofer Institute of Occupational Medicine, Department of Environmental Epidemiology, Lodz, Poland
| | - David Zaridze
- Russian N. N. Blokhin Cancer Research Centre, Moscow, Russian Federation
| | - Anush Mukeriya
- Russian N. N. Blokhin Cancer Research Centre, Moscow, Russian Federation
| | - Vladimir Janout
- Faculty of Health Sciences, Palacky University, Olomouc, Czech Republic
| | - Ivana Holcatova
- Institute of Public Health and Preventive Medicine, Charles University, Second Faculty of Medicine, Prague, Czech Republic
| | - Dana Mates
- National Institute of Public Health, Bucharest, Romania
| | - Sasa Milosavljevic
- International Organization for Cancer Prevention and Research, Belgrade, Serbia
| | | | - Paul Brennan
- International Agency for Research on Cancer, Lyon, France
| | - James McKay
- International Agency for Research on Cancer, Lyon, France
| | - Geoffrey Liu
- Princess Margaret Cancer Center, Toronto, Ontario, Canada
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
| | | | - Ann G Schwartz
- Karmanos Cancer Institute, Wayne State University, Detroit, Michigan
| | - Christopher I Amos
- Dan L. Duncan Comprehensive Cancer Center, Department of Medicine, Baylor College of Medicine, Houston, Texas; Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas
| | - Margaret R Spitz
- Dan L. Duncan Comprehensive Cancer Center, Department of Medicine, Baylor College of Medicine, Houston, Texas
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Abstract
BACKGROUND A Mendelian transmission produces phenotypic and genetic relatedness between family members, giving family-based analytical methods an important role in genetic epidemiological studies-from heritability estimations to genetic association analyses. With the advance in genotyping technologies, whole-genome sequence data can be utilized for genetic epidemiological studies, and family-based samples may become more useful for detecting de novo mutations. However, genetic analyses employing family-based samples usually suffer from the complexity of the computational/statistical algorithms, and certain types of family designs, such as incorporating data from extended families, have rarely been used. RESULTS We present a Workbench for Integrated Superfast Association studies for Related Data (WISARD) programmed in C/C++. WISARD enables the fast and a comprehensive analysis of SNP-chip and next-generation sequencing data on extended families, with applications from designing genetic studies to summarizing analysis results. In addition, WISARD can automatically be run in a fully multithreaded manner, and the integration of R software for visualization makes it more accessible to non-experts. CONCLUSIONS Comparison with existing toolsets showed that WISARD is computationally suitable for integrated analysis of related subjects, and demonstrated that WISARD outperforms existing toolsets. WISARD has also been successfully utilized to analyze the large-scale massive sequencing dataset of chronic obstructive pulmonary disease data (COPD), and we identified multiple genes associated with COPD, which demonstrates its practical value.
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Affiliation(s)
- Sungyoung Lee
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, South Korea
| | - Sungkyoung Choi
- Department of Pharmacology, Yonsei University College of Medicine, Seoul, South Korea
| | - Dandi Qiao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Michael Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.,Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.,Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Taesung Park
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, South Korea. .,Department of Statistics, Seoul National University, 1 Kwanak-ro, Kwanak-gu, Seoul, 151-742, South Korea.
| | - Sungho Won
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, South Korea. .,Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, 1 Kwanak-ro, Kwanak-gu, Seoul, 151-742, South Korea. .,Institute of Health and Environment, Seoul National University, Seoul, South Korea.
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46
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Nedeljkovic I, Terzikhan N, Vonk JM, van der Plaat DA, Lahousse L, van Diemen CC, Hobbs BD, Qiao D, Cho MH, Brusselle GG, Postma DS, Boezen HM, van Duijn CM, Amin N. A Genome-Wide Linkage Study for Chronic Obstructive Pulmonary Disease in a Dutch Genetic Isolate Identifies Novel Rare Candidate Variants. Front Genet 2018; 9:133. [PMID: 29725345 PMCID: PMC5916965 DOI: 10.3389/fgene.2018.00133] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2017] [Accepted: 04/03/2018] [Indexed: 01/06/2023] Open
Abstract
Chronic obstructive pulmonary disease (COPD) is a complex and heritable disease, associated with multiple genetic variants. Specific familial types of COPD may be explained by rare variants, which have not been widely studied. We aimed to discover rare genetic variants underlying COPD through a genome-wide linkage scan. Affected-only analysis was performed using the 6K Illumina Linkage IV Panel in 142 cases clustered in 27 families from a genetic isolate, the Erasmus Rucphen Family (ERF) study. Potential causal variants were identified by searching for shared rare variants in the exome-sequence data of the affected members of the families contributing most to the linkage peak. The identified rare variants were then tested for association with COPD in a large meta-analysis of several cohorts. Significant evidence for linkage was observed on chromosomes 15q14-15q25 [logarithm of the odds (LOD) score = 5.52], 11p15.4-11q14.1 (LOD = 3.71) and 5q14.3-5q33.2 (LOD = 3.49). In the chromosome 15 peak, that harbors the known COPD locus for nicotinic receptors, and in the chromosome 5 peak we could not identify shared variants. In the chromosome 11 locus, we identified four rare (minor allele frequency (MAF) <0.02), predicted pathogenic, missense variants. These were shared among the affected family members. The identified variants localize to genes including neuroblast differentiation-associated protein (AHNAK), previously associated with blood biomarkers in COPD, phospholipase C Beta 3 (PLCB3), shown to increase airway hyper-responsiveness, solute carrier family 22-A11 (SLC22A11), involved in amino acid metabolism and ion transport, and metallothionein-like protein 5 (MTL5), involved in nicotinate and nicotinamide metabolism. Association of SLC22A11 and MTL5 variants were confirmed in the meta-analysis of 9,888 cases and 27,060 controls. In conclusion, we have identified novel rare variants in plausible genes related to COPD. Further studies utilizing large sample whole-genome sequencing should further confirm the associations at chromosome 11 and investigate the chromosome 15 and 5 linked regions.
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Affiliation(s)
- Ivana Nedeljkovic
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands
| | - Natalie Terzikhan
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands
- Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Judith M. Vonk
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
- Groningen Research Institute for Asthma and COPD, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Diana A. van der Plaat
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
- Groningen Research Institute for Asthma and COPD, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Lies Lahousse
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands
- Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium
- Pharmaceutical Care Unit, Department of Bioanalysis, Ghent University, Ghent, Belgium
| | - Cleo C. van Diemen
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Brian D. Hobbs
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA, United States
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Boston, MA, United States
| | - Dandi Qiao
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA, United States
| | - Michael H. Cho
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA, United States
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Boston, MA, United States
| | - Guy G. Brusselle
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands
- Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium
- Department of Respiratory Medicine, Erasmus Medical Center, Rotterdam, Netherlands
| | - Dirkje S. Postma
- Groningen Research Institute for Asthma and COPD, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
- Department of Pulmonary Medicine and Tuberculosis, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - H. M. Boezen
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
- Groningen Research Institute for Asthma and COPD, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | | | - Najaf Amin
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands
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Kim W, Qiao D, Cho MH, Kwak SH, Park KS, Silverman EK, Sham P, Won S. Selecting cases and controls for DNA sequencing studies using family histories of disease. Stat Med 2017; 36:2081-2099. [PMID: 28222494 PMCID: PMC5810411 DOI: 10.1002/sim.7248] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [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: 03/19/2016] [Accepted: 01/18/2017] [Indexed: 01/01/2023]
Abstract
Recent improvements in sequencing technology have enabled the investigation of so-called missing heritability, and a large number of affected subjects have been sequenced in order to detect significant associations between human diseases and rare variants. However, the cost of genome sequencing is still high, and a statistically powerful strategy for selecting informative subjects would be useful. Therefore, in this report, we propose a new statistical method for selecting cases and controls for sequencing studies based on family history. We assume that disease status is determined by unobserved liability scores. Our method consists of two steps: first, the conditional means of liability are estimated with the liability threshold model given the individual's disease status and those of their relatives. Second, the informative subjects are selected with the estimated conditional means. Our simulation studies showed that statistical power is substantially affected by the subject selection strategy chosen, and power is maximized when affected (unaffected) subjects with high (low) risks are selected as cases (controls). The proposed method was successfully applied to genome-wide association studies for type 2 diabetes, and our analysis results reveal the practical value of the proposed methods. Copyright © 2017 John Wiley & Sons, Ltd.
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Affiliation(s)
- Wonji Kim
- Interdisciplinary Program of Bioinformatics, Seoul National University, Seoul, Korea
| | - Dandi Qiao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Soo Heon Kwak
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Kyong Soo Park
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Edwin K Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Pak Sham
- Department of Psychiatry, University of Hong Kong, Hong Kong, SAR, China
- Genome Research Centre, University of Hong Kong, Hong Kong, SAR, China
- State Key Laboratory of Brain and Cognitive Sciences, University of Hong Kong, Hong Kong, SAR, China
| | - Sungho Won
- Interdisciplinary Program of Bioinformatics, Seoul National University, Seoul, Korea
- Department of Public Health Science, Seoul National University, Seoul, Korea
- Institute of Health and Environment, Seoul National University, Seoul, Korea
- National Cancer Center, Seoul, Korea
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48
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Qiao D, Lange C, Beaty TH, Crapo JD, Barnes KC, Bamshad M, Hersh CP, Morrow J, Pinto-Plata VM, Marchetti N, Bueno R, Celli BR, Criner GJ, Silverman EK, Cho MH. Exome Sequencing Analysis in Severe, Early-Onset Chronic Obstructive Pulmonary Disease. Am J Respir Crit Care Med 2017; 193:1353-63. [PMID: 26736064 DOI: 10.1164/rccm.201506-1223oc] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
RATIONALE Genomic regions identified by genome-wide association studies explain only a small fraction of heritability for chronic obstructive pulmonary disease (COPD). Alpha-1 antitrypsin deficiency shows that rare coding variants of large effect also influence COPD susceptibility. We hypothesized that exome sequencing in families identified through a proband with severe, early-onset COPD would identify additional rare genetic determinants of large effect. OBJECTIVES To identify rare genetic determinants of severe COPD. METHODS We applied filtering approaches to identify potential causal variants for COPD in whole exomes from 347 subjects in 49 extended pedigrees from the Boston Early-Onset COPD Study. We assessed the power of this approach under different levels of genetic heterogeneity using simulations. We tested genes identified in these families using gene-based association tests in exomes of 204 cases with severe COPD and 195 resistant smokers from the COPDGene study. In addition, we examined previously described loci associated with COPD using these datasets. MEASUREMENTS AND MAIN RESULTS We identified 69 genes with predicted deleterious nonsynonymous, stop, or splice variants that segregated with severe COPD in at least two pedigrees. Four genes (DNAH8, ALCAM, RARS, and GBF1) also demonstrated an increase in rare nonsynonymous, stop, and/or splice mutations in cases compared with resistant smokers from the COPDGene study; however, these results were not statistically significant. We demonstrate the limitations of the power of this approach under genetic heterogeneity through simulation. CONCLUSIONS Rare deleterious coding variants may increase risk for COPD, but multiple genes likely contribute to COPD susceptibility.
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Affiliation(s)
| | - Christoph Lange
- 2 Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts
| | - Terri H Beaty
- 3 Johns Hopkins Bloomberg School of Public Health, and
| | | | - Kathleen C Barnes
- 5 Division of Allergy and Clinical Immunology, Department of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Michael Bamshad
- 6 Division of Genetic Medicine, Department of Pediatrics, University of Washington and Seattle Children's Hospital, Seattle, Washington
| | - Craig P Hersh
- 1 Channing Division of Network Medicine.,7 Division of Pulmonary and Critical Care Medicine, and
| | | | - Victor M Pinto-Plata
- 8 Department of Critical Care Medicine and Pulmonary Disease, Baystate Medical Center, Springfield, Massachusetts
| | | | - Raphael Bueno
- 10 Division of Thoracic Surgery, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | | | - Gerald J Criner
- 11 Division of Pulmonary and Critical Care Medicine Temple University School of Medicine, Philadelphia, Pennsylvania
| | - Edwin K Silverman
- 1 Channing Division of Network Medicine.,7 Division of Pulmonary and Critical Care Medicine, and
| | - Michael H Cho
- 1 Channing Division of Network Medicine.,7 Division of Pulmonary and Critical Care Medicine, and
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49
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Hobbs BD, de Jong K, Lamontagne M, Bossé Y, Shrine N, Artigas MS, Wain LV, Hall IP, Jackson VE, Wyss AB, London SJ, North KE, Franceschini N, Strachan DP, Beaty TH, Hokanson JE, Crapo JD, Castaldi PJ, Chase RP, Bartz TM, Heckbert SR, Psaty BM, Gharib SA, Zanen P, Lammers JW, Oudkerk M, Groen HJ, Locantore N, Tal-Singer R, Rennard SI, Vestbo J, Timens W, Paré PD, Latourelle JC, Dupuis J, O’Connor GT, Wilk JB, Kim WJ, Lee MK, Oh YM, Vonk JM, de Koning HJ, Leng S, Belinsky SA, Tesfaigzi Y, Manichaikul A, Wang XQ, Rich SS, Barr RG, Sparrow D, Litonjua AA, Bakke P, Gulsvik A, Lahousse L, Brusselle GG, Stricker BH, Uitterlinden AG, Ampleford EJ, Bleecker ER, Woodruff PG, Meyers DA, Qiao D, Lomas DA, Yim JJ, Kim DK, Hawrylkiewicz I, Sliwinski P, Hardin M, Fingerlin TE, Schwartz DA, Postma DS, MacNee W, Tobin MD, Silverman EK, Boezen HM, Cho MH. Genetic loci associated with chronic obstructive pulmonary disease overlap with loci for lung function and pulmonary fibrosis. Nat Genet 2017; 49:426-432. [PMID: 28166215 PMCID: PMC5381275 DOI: 10.1038/ng.3752] [Citation(s) in RCA: 241] [Impact Index Per Article: 34.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2016] [Accepted: 11/23/2016] [Indexed: 12/15/2022]
Abstract
Chronic obstructive pulmonary disease (COPD) is a leading cause of mortality worldwide. We performed a genetic association study in 15,256 cases and 47,936 controls, with replication of select top results (P < 5 × 10-6) in 9,498 cases and 9,748 controls. In the combined meta-analysis, we identified 22 loci associated at genome-wide significance, including 13 new associations with COPD. Nine of these 13 loci have been associated with lung function in general population samples, while 4 (EEFSEC, DSP, MTCL1, and SFTPD) are new. We noted two loci shared with pulmonary fibrosis (FAM13A and DSP) but that had opposite risk alleles for COPD. None of our loci overlapped with genome-wide associations for asthma, although one locus has been implicated in joint susceptibility to asthma and obesity. We also identified genetic correlation between COPD and asthma. Our findings highlight new loci associated with COPD, demonstrate the importance of specific loci associated with lung function to COPD, and identify potential regions of genetic overlap between COPD and other respiratory diseases.
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Affiliation(s)
- Brian D. Hobbs
- Channing Division of Network Medicine, Brigham and Women’s
Hospital, Boston, MA, USA,Division of Pulmonary and Critical Care Medicine, Brigham and
Women’s Hospital, Boston, MA, USA
| | - Kim de Jong
- University of Groningen, University Medical Center Groningen,
Department of Epidemiology, Groningen, the Netherlands,University of Groningen, University Medical Center Groningen,
Groningen Research Institute for Asthma and COPD (GRIAC), Groningen, the
Netherlands
| | - Maxime Lamontagne
- Institut universitaire de cardiologie et de pneumologie de
Québec, Québec, Canada
| | - Yohan Bossé
- Institut universitaire de cardiologie et de pneumologie de
Québec, Québec, Canada,Department of Molecular Medicine, Laval University, Québec,
Canada
| | - Nick Shrine
- Genetic Epidemiology Group, Department of Health Sciences,
University of Leicester, Leicester, UK
| | - María Soler Artigas
- Genetic Epidemiology Group, Department of Health Sciences,
University of Leicester, Leicester, UK
| | - Louise V. Wain
- Genetic Epidemiology Group, Department of Health Sciences,
University of Leicester, Leicester, UK
| | - Ian P. Hall
- Division of Respiratory Medicine, Queen’s Medical Centre,
University of Nottingham, Nottingham, UK
| | - Victoria E. Jackson
- Genetic Epidemiology Group, Department of Health Sciences,
University of Leicester, Leicester, UK
| | - Annah B. Wyss
- Epidemiology Branch, National Institute of Environmental Health
Sciences, National Institutes of Health, Department of Health and Human Services,
Research Triangle Park, NC, USA
| | - 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
| | - Kari E. North
- Department of Epidemiology, University of North Carolina, Chapel
Hill, NC, USA
| | - Nora Franceschini
- Department of Epidemiology, University of North Carolina, Chapel
Hill, NC, USA
| | - David P. Strachan
- Population Health Research Institute, St. George’s,
University of London, London, UK
| | - Terri H. Beaty
- Johns Hopkins University Bloomberg School of Public Health,
Baltimore, MD, USA
| | - John E. Hokanson
- Department of Epidemiology, University of Colorado Anschutz Medical
Campus, Aurora, CO, USA
| | - James D. Crapo
- Department of Medicine, Division of Pulmonary and Critical Care
Medicine, National Jewish Health, Denver, CO, USA
| | - Peter J. Castaldi
- Channing Division of Network Medicine, Brigham and Women’s
Hospital, Boston, MA, USA,Division of General Internal Medicine, Brigham and Women’s
Hospital, Boston, MA, USA
| | - Robert P. Chase
- Channing Division of Network Medicine, Brigham and Women’s
Hospital, Boston, MA, USA
| | - Traci M. Bartz
- Cardiovascular Health Research Unit, University of Washington,
Seattle, WA, USA,Department of Medicine, University of Washington, Seattle, WA,
USA,Department of Biostatistics, University of Washington, Seattle, WA,
USA
| | - Susan R. Heckbert
- Cardiovascular Health Research Unit, University of Washington,
Seattle, WA, USA,Department of Epidemiology, University of Washington, Seattle, WA,
USA,Group Health Research Institute, Group Health Cooperative, Seattle,
WA, USA
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, University of Washington,
Seattle, WA, USA,Department of Medicine, University of Washington, Seattle, WA,
USA,Department of Epidemiology, University of Washington, Seattle, WA,
USA,Group Health Research Institute, Group Health Cooperative, Seattle,
WA, USA,Department of Health Services, University of Washington, Seattle,
WA, USA
| | - Sina A. Gharib
- Computational Medicine Core, Center for Lung Biology, UW Medicine
Sleep Center, Department of Medicine, University of Washington, Seattle, WA,
USA
| | - Pieter Zanen
- Department of Pulmonology, University Medical Center Utrecht,
University of Utrecht, Utrecht, the Netherlands
| | - Jan W. Lammers
- Department of Pulmonology, University Medical Center Utrecht,
University of Utrecht, Utrecht, the Netherlands
| | - Matthijs Oudkerk
- University of Groningen, University Medical Center Groningen,
Center for Medical Imaging, the Netherlands
| | - H. J. Groen
- University of Groningen, University Medical Center Groningen,
Department of Pulmonology, Groningen, the Netherlands
| | | | | | - Stephen I. Rennard
- Pulmonary, Critical Care, Sleep and Allergy Division, Department of
Internal Medicine, University of Nebraska Medical Center, Omaha, NE, USA,Clinical Discovery Unit, AstraZeneca, Cambridge, UK
| | - Jørgen Vestbo
- School of Biological Sciences, University of Manchester,
Manchester, UK
| | - Wim Timens
- Department of Pathology and Medical Biology, University of
Groningen, University Medical Center Groningen, GRIAC Research Institute, Groningen,
the Netherlands
| | - Peter D. Paré
- University of British Columbia Center for Heart Lung Innovation and
Institute for Heart and Lung Health, St Paul’s Hospital, Vancouver, British
Columbia, Canada
| | | | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public
Health, Boston, MA, USA,The National Heart, Lung, and Blood Institute’s Framingham
Heart Study, Framingham, MA, USA
| | - George T. O’Connor
- The National Heart, Lung, and Blood Institute’s Framingham
Heart Study, Framingham, MA, USA,Pulmonary Center, Department of Medicine, Boston University School
of Medicine, Boston, MA, USA
| | - Jemma B. Wilk
- The National Heart, Lung, and Blood Institute’s Framingham
Heart Study, Framingham, MA, USA
| | - Woo Jin Kim
- Department of Internal Medicine and Environmental Health Center,
School of Medicine, Kangwon National University, Chuncheon, South Korea
| | - Mi Kyeong Lee
- Department of Internal Medicine and Environmental Health Center,
School of Medicine, Kangwon National University, Chuncheon, South Korea
| | - Yeon-Mok Oh
- Department of Pulmonary and Critical Care Medicine, and Clinical
Research Center for Chronic Obstructive Airway Diseases, Asan Medical Center,
University of Ulsan College of Medicine, Seoul, South Korea
| | - Judith M. Vonk
- University of Groningen, University Medical Center Groningen,
Department of Epidemiology, Groningen, the Netherlands,University of Groningen, University Medical Center Groningen,
Groningen Research Institute for Asthma and COPD (GRIAC), Groningen, the
Netherlands
| | - Harry J. de Koning
- Department of Public Health, Erasmus Medical Center Rotterdam,
Rotterdam, the Netherlands
| | - Shuguang Leng
- Lovelace Respiratory Research Institute, Albuquerque, NM, USA
| | | | | | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia,
Charlottesville, VA, USA,Department of Public Health Sciences, University of Virginia,
Charlottesville, VA, USA
| | - Xin-Qun Wang
- Department of Public Health Sciences, University of Virginia,
Charlottesville, VA, USA
| | - 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
| | - R Graham Barr
- Department of Medicine, College of Physicians and Surgeons and
Department of Epidemiology, Mailman School of Public Health, Columbia University,
New York, NY, USA
| | - David Sparrow
- VA Boston Healthcare System and Department of Medicine, Boston
University School of Medicine, Boston, MA, USA
| | - Augusto A. Litonjua
- Channing Division of Network Medicine, Brigham and Women’s
Hospital, Boston, MA, USA,Division of Pulmonary and Critical Care Medicine, Brigham and
Women’s Hospital, Boston, MA, USA
| | - Per Bakke
- Department of Clinical Science, University of Bergen, Bergen,
Norway
| | - Amund Gulsvik
- Department of Clinical Science, University of Bergen, Bergen,
Norway
| | - Lies Lahousse
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the
Netherlands,Department of Respiratory Medicine, Ghent University Hospital,
Ghent, Belgium
| | - Guy G. Brusselle
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the
Netherlands,Department of Respiratory Medicine, Ghent University Hospital,
Ghent, Belgium,Department of Respiratory Medicine, Erasmus Medical Center,
Rotterdam, the Netherlands
| | - Bruno H. Stricker
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the
Netherlands,Netherlands Health Care Inspectorate, The Hague, the
Netherlands,Department of Internal Medicine, Erasmus Medical Center, Rotterdam,
the Netherlands,Netherlands Genomics Initiative (NGI)-sponsored Netherlands
Consortium for Healthy Aging (NCHA), Leiden, the Netherlands
| | - André G. Uitterlinden
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the
Netherlands,Department of Internal Medicine, Erasmus Medical Center, Rotterdam,
the Netherlands,Netherlands Genomics Initiative (NGI)-sponsored Netherlands
Consortium for Healthy Aging (NCHA), Leiden, the Netherlands
| | - Elizabeth J. Ampleford
- Center for Genomics and Personalized Medicine Research, Wake Forest
University School of Medicine, Winston Salem, NC, USA
| | - Eugene R. Bleecker
- Center for Genomics and Personalized Medicine Research, Wake Forest
University School of Medicine, Winston Salem, NC, USA
| | - Prescott G. Woodruff
- Cardiovascular Research Institute and the Department of Medicine,
Division of Pulmonary, Critical Care, Sleep, and Allergy, University of California
at San Francisco, San Francisco, CA, USA
| | - Deborah A. Meyers
- Center for Genomics and Personalized Medicine Research, Wake Forest
University School of Medicine, Winston Salem, NC, USA
| | - Dandi Qiao
- Channing Division of Network Medicine, Brigham and Women’s
Hospital, Boston, MA, USA
| | | | - Jae-Joon Yim
- Division of Pulmonary and Critical Care Medicine, Department of
Internal Medicine, Seoul National University College of Medicine, Seoul, South
Korea
| | - Deog Kyeom Kim
- Seoul National University College of Medicine, SMG-SNU Boramae
Medical Center, Seoul, South Korea
| | - Iwona Hawrylkiewicz
- 2nd Department of Respiratory Medicine, Institute of Tuberculosis
and Lung Diseases, Warsaw, Poland
| | - Pawel Sliwinski
- 2nd Department of Respiratory Medicine, Institute of Tuberculosis
and Lung Diseases, Warsaw, Poland
| | - Megan Hardin
- Channing Division of Network Medicine, Brigham and Women’s
Hospital, Boston, MA, USA,Division of Pulmonary and Critical Care Medicine, Brigham and
Women’s Hospital, Boston, MA, USA,Clinical Discovery Unit, AstraZeneca, Cambridge, UK
| | - Tasha E. Fingerlin
- Center for Genes, Environment and Health, National Jewish Health,
Denver, CO, USA,Department of Biostatistics and Informatics, University of Colorado
Denver, Aurora, CO, USA
| | - David A. Schwartz
- Center for Genes, Environment and Health, National Jewish Health,
Denver, CO, USA,Department of Medicine, School of Medicine, University of Colorado
Denver, Aurora, CO, USA,Department of Immunology, School of Medicine, University of
Colorado Denver, Aurora, CO, USA
| | - Dirkje S. Postma
- University of Groningen, University Medical Center Groningen,
Groningen Research Institute for Asthma and COPD (GRIAC), Groningen, the
Netherlands,University of Groningen, University Medical Center Groningen,
Department of Pulmonology, Groningen, the Netherlands
| | | | - Martin D. Tobin
- Genetic Epidemiology Group, Department of Health Sciences,
University of Leicester, Leicester, UK,National Institute for Health Research (NIHR) Leicester Respiratory
Biomedical Research Unit, Glenfield Hospital, Leicester, UK
| | - Edwin K. Silverman
- Channing Division of Network Medicine, Brigham and Women’s
Hospital, Boston, MA, USA,Division of Pulmonary and Critical Care Medicine, Brigham and
Women’s Hospital, Boston, MA, USA
| | - H. Marike Boezen
- University of Groningen, University Medical Center Groningen,
Department of Epidemiology, Groningen, the Netherlands,University of Groningen, University Medical Center Groningen,
Groningen Research Institute for Asthma and COPD (GRIAC), Groningen, the
Netherlands
| | - Michael H. Cho
- Channing Division of Network Medicine, Brigham and Women’s
Hospital, Boston, MA, USA,Division of Pulmonary and Critical Care Medicine, Brigham and
Women’s Hospital, Boston, MA, USA,Corresponding author: Michael H. Cho
(), tel: 617-525-0897, fax:
888-487-1078
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50
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Qiao D, Lange C, Laird NM, Won S, Hersh CP, Morrow J, Hobbs BD, Lutz SM, Ruczinski I, Beaty TH, Silverman EK, Cho MH. Gene-based segregation method for identifying rare variants in family-based sequencing studies. Genet Epidemiol 2017; 41:309-319. [PMID: 28191685 DOI: 10.1002/gepi.22037] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [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: 09/08/2016] [Revised: 11/30/2016] [Accepted: 12/09/2016] [Indexed: 11/11/2022]
Abstract
Whole-exome sequencing using family data has identified rare coding variants in Mendelian diseases or complex diseases with Mendelian subtypes, using filters based on variant novelty, functionality, and segregation with the phenotype within families. However, formal statistical approaches are limited. We propose a gene-based segregation test (GESE) that quantifies the uncertainty of the filtering approach. It is constructed using the probability of segregation events under the null hypothesis of Mendelian transmission. This test takes into account different degrees of relatedness in families, the number of functional rare variants in the gene, and their minor allele frequencies in the corresponding population. In addition, a weighted version of this test allows incorporating additional subject phenotypes to improve statistical power. We show via simulations that the GESE and weighted GESE tests maintain appropriate type I error rate, and have greater power than several commonly used region-based methods. We apply our method to whole-exome sequencing data from 49 extended pedigrees with severe, early-onset chronic obstructive pulmonary disease (COPD) in the Boston Early-Onset COPD study (BEOCOPD) and identify several promising candidate genes. Our proposed methods show great potential for identifying rare coding variants of large effect and high penetrance for family-based sequencing data. The proposed tests are implemented in an R package that is available on CRAN (https://cran.r-project.org/web/packages/GESE/).
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Affiliation(s)
- Dandi Qiao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Christoph Lange
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Nan M Laird
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Sungho Won
- Department of Public Health Science, Seoul National University, Seoul, Republic of Korea
| | - Craig P Hersh
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America.,Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Jarrett Morrow
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Brian D Hobbs
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America.,Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Sharon M Lutz
- Department of Biostatistics, Anschutz Medical Campus, University of Colorado, Aurora, Colorado, United States of America
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Terri H Beaty
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Edwin K Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America.,Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Michael H Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America.,Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.,University of Washington Center for Mendelian Genomics, Seattle, Washington, United States of America
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