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Sukumaran R, Nair AS, Banerjee M. Ethnic and region-specific genetic risk variants of stroke and its comorbid conditions can define the variations in the burden of stroke and its phenotypic traits. eLife 2024; 13:RP94088. [PMID: 39268810 PMCID: PMC11398864 DOI: 10.7554/elife.94088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/15/2024] Open
Abstract
Burden of stroke differs by region, which could be attributed to differences in comorbid conditions and ethnicity. Genomewide variation acts as a proxy marker for ethnicity, and comorbid conditions. We present an integrated approach to understand this variation by considering prevalence and mortality rates of stroke and its comorbid risk for 204 countries from 2009 to 2019, and Genome-wide association studies (GWAS) risk variant for all these conditions. Global and regional trend analysis of rates using linear regression, correlation, and proportion analysis, signifies ethnogeographic differences. Interestingly, the comorbid conditions that act as risk drivers for stroke differed by regions, with more of metabolic risk in America and Europe, in contrast to high systolic blood pressure in Asian and African regions. GWAS risk loci of stroke and its comorbid conditions indicate distinct population stratification for each of these conditions, signifying for population-specific risk. Unique and shared genetic risk variants for stroke, and its comorbid and followed up with ethnic-specific variation can help in determining regional risk drivers for stroke. Unique ethnic-specific risk variants and their distinct patterns of linkage disequilibrium further uncover the drivers for phenotypic variation. Therefore, identifying population- and comorbidity-specific risk variants might help in defining the threshold for risk, and aid in developing population-specific prevention strategies for stroke.
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Affiliation(s)
- Rashmi Sukumaran
- Human Molecular Genetics Laboratory, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, India
- Department of Computational Biology and Bioinformatics, University of Kerala, Thiruvananthapuram, India
| | - Achuthsankar S Nair
- Department of Computational Biology and Bioinformatics, University of Kerala, Thiruvananthapuram, India
| | - Moinak Banerjee
- Human Molecular Genetics Laboratory, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, India
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2
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Debette S, Paré G. Stroke Genetics, Genomics, and Precision Medicine. Stroke 2024; 55:2163-2168. [PMID: 38511336 DOI: 10.1161/strokeaha.123.044212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/22/2024]
Affiliation(s)
- Stéphanie Debette
- University of Bordeaux, INSERM, Bordeaux Population Health, France (S.D.)
- Department of Neurology, Institute for Neurodegenerative Diseases, Bordeaux University Hospital, France (S.D.)
| | - Guillaume Paré
- Department of Pathology and Molecular Medicine, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada (G.P.)
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3
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Antikainen AA, Haukka JK, Kumar A, Syreeni A, Hägg-Holmberg S, Ylinen A, Kilpeläinen E, Kytölä A, Palotie A, Putaala J, Thorn LM, Harjutsalo V, Groop PH, Sandholm N. Whole-genome sequencing identifies variants in ANK1, LRRN1, HAS1, and other genes and regulatory regions for stroke in type 1 diabetes. Sci Rep 2024; 14:13453. [PMID: 38862513 PMCID: PMC11166668 DOI: 10.1038/s41598-024-61840-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 05/10/2024] [Indexed: 06/13/2024] Open
Abstract
Individuals with type 1 diabetes (T1D) carry a markedly increased risk of stroke, with distinct clinical and neuroimaging characteristics as compared to those without diabetes. Using whole-exome or whole-genome sequencing of 1,051 individuals with T1D, we aimed to find rare and low-frequency genomic variants associated with stroke in T1D. We analysed the genome comprehensively with single-variant analyses, gene aggregate analyses, and aggregate analyses on genomic windows, enhancers and promoters. In addition, we attempted replication in T1D using a genome-wide association study (N = 3,945) and direct genotyping (N = 3,263), and in the general population from the large-scale population-wide FinnGen project and UK Biobank summary statistics. We identified a rare missense variant on SREBF1 exome-wide significantly associated with stroke (rs114001633, p.Pro227Leu, p-value = 7.30 × 10-8), which replicated for hemorrhagic stroke in T1D. Using gene aggregate analysis, we identified exome-wide significant genes: ANK1 and LRRN1 displayed replication evidence in T1D, and LRRN1, HAS1 and UACA in the general population (UK Biobank). Furthermore, we performed sliding-window analyses and identified 14 genome-wide significant windows for stroke on 4q33-34.1, of which two replicated in T1D, and a suggestive genomic window on LINC01500, which replicated in T1D. Finally, we identified a suggestively stroke-associated TRPM2-AS promoter (p-value = 5.78 × 10-6) with borderline significant replication in T1D, which we validated with an in vitro cell-based assay. Due to the rarity of the identified genetic variants, future replication of the genomic regions represented here is required with sequencing of individuals with T1D. Nevertheless, we here report the first genome-wide analysis on stroke in individuals with diabetes.
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Affiliation(s)
- Anni A Antikainen
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Jani K Haukka
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Anmol Kumar
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Anna Syreeni
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Stefanie Hägg-Holmberg
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Anni Ylinen
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Elina Kilpeläinen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Anastasia Kytölä
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
- Analytic and Translational Genetics Unit, Department of Medicine, Department of Neurology and Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- The Stanley Center for Psychiatric Research and Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jukka Putaala
- Neurology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Lena M Thorn
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Valma Harjutsalo
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Per-Henrik Groop
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland.
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
- Department of Diabetes, Central Clinical School, Monash University, Melbourne, VIC, Australia.
| | - Niina Sandholm
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland.
- Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
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4
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Paus T. Population Neuroscience: Principles and Advances. Curr Top Behav Neurosci 2024. [PMID: 38589637 DOI: 10.1007/7854_2024_474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/10/2024]
Abstract
In population neuroscience, three disciplines come together to advance our knowledge of factors that shape the human brain: neuroscience, genetics, and epidemiology (Paus, Human Brain Mapping 31:891-903, 2010). Here, I will come back to some of the background material reviewed in more detail in our previous book (Paus, Population Neuroscience, 2013), followed by a brief overview of current advances and challenges faced by this integrative approach.
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Affiliation(s)
- Tomáš Paus
- Department of Psychiatry and Neuroscience, Faculty of Medicine, University of Montreal, Montreal, QC, Canada
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5
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Yuan X, Ye W, Chen L, Luo D, Zhou L, Qiu Y, Zhuo R, Zhao Y, Peng L, Yang L, Jin X, Zhou Y. URB597 exerts neuroprotective effects against transient brain ischemia injury in mice by regulating autophagic flux and necroptosis. Eur J Pharmacol 2023; 957:175982. [PMID: 37572942 DOI: 10.1016/j.ejphar.2023.175982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 07/14/2023] [Accepted: 08/09/2023] [Indexed: 08/14/2023]
Abstract
Ischemic stroke is a leading cause of death and disability, and medical treatments for ischemic stroke are very limited. URB597 is a potent and selective inhibitor of fatty acid amide hydrolase (FAAH). However, the effect of URB597 on ischemic stroke and the underlying molecular mechanisms remain little known. In this study, focal cerebral ischemia was induced by transient middle cerebral artery occlusion in mice. Our results showed that URB597 dose-dependently improved neurological function and reduced brain infarct volume and brain edema 24 h after brain ischemia. The most effective dose was 1 mg/kg and the therapeutic time window was within 3 h after ischemic stroke. To further investigate the underlying mechanism, necroptosis and autophagy flux were detected by Western blot and/or immunofluorescence staining with or without chloroquine, an autophagic flux inhibitor. Our results showed that URB597 promoted autophagic flux and reduced neuronal necroptosis after brain ischemia and these effects could be abolished by chloroquine. In addition, we found that peroxisome proliferator-activated receptor α (PPARα) antagonist GW6471 partly abolished the effect of URB597 against brain ischemia and URB597 upregulated the expressions of PPARα. In conclusion, URB597 exerts a neuroprotective effect in a dose- and time-dependent manner, and this effect may be related to its restoration of autophagic flux and inhibition of neuronal necroptosis. PPARα is involved in the neuroprotective effect of URB597. This study provides novel evidence that URB597 may be a promising agent for the clinical treatment of ischemic stroke.
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Affiliation(s)
- Xiaoqian Yuan
- Department of Basic Medical Science, School of Medicine, Xiamen University, Xiamen, 361102, China; Key Laboratory of Chiral Drugs, Xiamen, 361102, China.
| | - Wenxuan Ye
- Department of Basic Medical Science, School of Medicine, Xiamen University, Xiamen, 361102, China; Key Laboratory of Chiral Drugs, Xiamen, 361102, China
| | - Ling Chen
- Xiamen Cardiovascular Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361102, China; Department of Basic Medical Science, School of Medicine, Xiamen University, Xiamen, 361102, China; Key Laboratory of Chiral Drugs, Xiamen, 361102, China
| | - Doudou Luo
- Department of Basic Medical Science, School of Medicine, Xiamen University, Xiamen, 361102, China; Key Laboratory of Chiral Drugs, Xiamen, 361102, China; State Key Laboratory of Cellular Stress Biology, Xiamen University, Xiamen, 361102, China
| | - Li Zhou
- Department of Basic Medical Science, School of Medicine, Xiamen University, Xiamen, 361102, China
| | - Yan Qiu
- Key Laboratory of Chiral Drugs, Xiamen, 361102, China
| | - Rengong Zhuo
- Xiamen Cardiovascular Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361102, China; Department of Basic Medical Science, School of Medicine, Xiamen University, Xiamen, 361102, China; Key Laboratory of Chiral Drugs, Xiamen, 361102, China
| | - Yun Zhao
- Xiamen Cardiovascular Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361102, China; Department of Basic Medical Science, School of Medicine, Xiamen University, Xiamen, 361102, China; Key Laboratory of Chiral Drugs, Xiamen, 361102, China
| | - Lu Peng
- Xiamen Cardiovascular Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361102, China; Department of Basic Medical Science, School of Medicine, Xiamen University, Xiamen, 361102, China; Key Laboratory of Chiral Drugs, Xiamen, 361102, China
| | - Lichao Yang
- Xiamen Cardiovascular Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361102, China; Department of Basic Medical Science, School of Medicine, Xiamen University, Xiamen, 361102, China; Key Laboratory of Chiral Drugs, Xiamen, 361102, China
| | - Xin Jin
- Department of Basic Medical Science, School of Medicine, Xiamen University, Xiamen, 361102, China; Key Laboratory of Chiral Drugs, Xiamen, 361102, China
| | - Yu Zhou
- Xiamen Cardiovascular Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361102, China; Department of Basic Medical Science, School of Medicine, Xiamen University, Xiamen, 361102, China; Key Laboratory of Chiral Drugs, Xiamen, 361102, China; State Key Laboratory of Cellular Stress Biology, Xiamen University, Xiamen, 361102, China.
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6
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Surakka I, Wu KH, Hornsby W, Wolford BN, Shen F, Zhou W, Huffman JE, Pandit A, Hu Y, Brumpton B, Skogholt AH, Gabrielsen ME, Walters RG, Hveem K, Kooperberg C, Zöllner S, Wilson PW, Sutton NR, Daly MJ, Neale BM, Willer CJ. Multi-ancestry meta-analysis identifies 5 novel loci for ischemic stroke and reveals heterogeneity of effects between sexes and ancestries. CELL GENOMICS 2023; 3:100345. [PMID: 37601974 PMCID: PMC10435368 DOI: 10.1016/j.xgen.2023.100345] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 10/18/2022] [Accepted: 05/26/2023] [Indexed: 08/22/2023]
Abstract
Stroke is the second leading cause of death and disability worldwide. Stroke prevalence varies by sex and ancestry, possibly due to genetic heterogeneity between subgroups. We performed a genome-wide meta-analysis of 16 biobanks across multiple ancestries to study the genetics of ischemic stroke (60,176 cases, 1,310,725 controls) as part of the Global Biobank Meta-analysis Initiative (GBMI) and further combined the results with previously published MegaStroke. Five novel loci for ischemic stroke (LAMC1, CALCRL, PLSCR1, CDKN1A, and SWAP70) were identified after replication in four additional datasets. One previously reported locus showed significant ancestry heterogeneity (ABO), and one showed significant sex heterogeneity (ALDH2). The ALDH2 association was male specific (males p = 1.67e-24, females p = 0.126) and was additionally observed only in the East Asian ancestry (male) samples. These findings emphasize the need for more diverse datasets with large sample sizes to further understand the genetic predisposition of stroke in different ancestry and sex groups.
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Affiliation(s)
- Ida Surakka
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Kuan-Han Wu
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Whitney Hornsby
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Brooke N. Wolford
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Fred Shen
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Wei Zhou
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jennifer E. Huffman
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | - Anita Pandit
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Yao Hu
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Ben Brumpton
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- Clinic of Medicine, St. Olav’s Hospital, Trondheim University Hospital, Trondheim, Norway
- HUNT Research Centre, Department of Public Health and Nursing, Norwegian University of Science and Technology, Levanger, Norway
| | - Anne Heidi Skogholt
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Maiken E. Gabrielsen
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Robin G. Walters
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - The TOPMed Stroke Working Group
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- Clinic of Medicine, St. Olav’s Hospital, Trondheim University Hospital, Trondheim, Norway
- HUNT Research Centre, Department of Public Health and Nursing, Norwegian University of Science and Technology, Levanger, Norway
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Atlanta VA Health Care System, Decatur, GA, USA
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Million Veteran Program (MVP)
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- Clinic of Medicine, St. Olav’s Hospital, Trondheim University Hospital, Trondheim, Norway
- HUNT Research Centre, Department of Public Health and Nursing, Norwegian University of Science and Technology, Levanger, Norway
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Atlanta VA Health Care System, Decatur, GA, USA
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Kristian Hveem
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- HUNT Research Centre, Department of Public Health and Nursing, Norwegian University of Science and Technology, Levanger, Norway
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Sebastian Zöllner
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Peter W.F. Wilson
- Atlanta VA Health Care System, Decatur, GA, USA
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Nadia R. Sutton
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Mark J. Daly
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Benjamin M. Neale
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Cristen J. Willer
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
- Clinic of Medicine, St. Olav’s Hospital, Trondheim University Hospital, Trondheim, Norway
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
| | - on behalf of the Global Biobank Meta-analysis Initiative (GBMI)
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- Clinic of Medicine, St. Olav’s Hospital, Trondheim University Hospital, Trondheim, Norway
- HUNT Research Centre, Department of Public Health and Nursing, Norwegian University of Science and Technology, Levanger, Norway
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Atlanta VA Health Care System, Decatur, GA, USA
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
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7
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Hennings E, Blum S, Aeschbacher S, Coslovsky M, Knecht S, Eken C, Lischer M, Paladini RE, Krisai P, Reichlin T, Rodondi N, Beer JH, Ammann P, Conte G, De Perna ML, Kobza R, Blum MR, Bossard M, Kastner P, Ziegler A, Müller C, Bonati LH, Pfister O, Zuern CS, Conen D, Kühne M, Osswald S. Bone Morphogenetic Protein 10-A Novel Biomarker to Predict Adverse Outcomes in Patients With Atrial Fibrillation. J Am Heart Assoc 2023; 12:e028255. [PMID: 36926939 PMCID: PMC10111531 DOI: 10.1161/jaha.122.028255] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 02/01/2023] [Indexed: 03/18/2023]
Abstract
Background Patients with atrial fibrillation (AF) face an increased risk of death and major adverse cardiovascular events (MACE). We aimed to assess the predictive value of the novel atrial-specific biomarker BMP10 (bone morphogenetic protein 10) for death and MACE in patients with AF in comparison with NT-proBNP (N-terminal prohormone of B-type natriuretic peptide). Methods and Results BMP10 and NT-proBNP were measured in patients with AF enrolled in Swiss-AF (Swiss Atrial Fibrillation Study), a prospective multicenter cohort study. A total of 2219 patients were included (median follow-up 4.3 years [interquartile range 3.9, 5.1], mean age 73±9 years, 73% male). In multivariable Cox proportional hazard models, the adjusted hazard ratio (aHR) associated with 1 ng/mL increase of BMP10 was 1.60 (95% CI, 1.37-1.87) for all-cause death, and 1.54 (95% CI, 1.35-1.76) for MACE. For all-cause death, the concordance index was 0.783 (95% CI, 0.763-0.809) for BMP10, 0.784 (95% CI, 0.765-0.810) for NT-proBNP, and 0.789 (95% CI, 0.771-0.815) for both biomarkers combined. For MACE, the concordance index was 0.732 (95% CI, 0.715-0.754) for BMP10, 0.747 (95% CI, 0.731-0.768) for NT-proBNP, and 0.750 (95% CI, 0.734-0.771) for both biomarkers combined. When grouping patients according to NT-proBNP categories (<300, 300-900, >900 ng/L), higher aHRs were observed in patients with high BMP10 in the categories of low NT-proBNP (all-cause death aHR, 2.28 [95% CI, 1.15-4.52], MACE aHR, 1.88 [95% CI, 1.07-3.28]) and high NT-proBNP (all-cause death aHR, 1.61 [95% CI, 1.14-2.26], MACE aHR, 1.38 [95% CI, 1.07-1.80]). Conclusions BMP10 strongly predicted all-cause death and MACE in patients with AF. BMP10 provided additional prognostic information in low- and high-risk patients according to NT-proBNP stratification. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT02105844.
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Affiliation(s)
- Elisa Hennings
- Cardiovascular Research Institute BaselUniversity Hospital Basel, University of BaselBaselSwitzerland
- CardiologyUniversity Hospital Basel, University of BaselBaselSwitzerland
| | - Steffen Blum
- Cardiovascular Research Institute BaselUniversity Hospital Basel, University of BaselBaselSwitzerland
- CardiologyUniversity Hospital Basel, University of BaselBaselSwitzerland
| | - Stefanie Aeschbacher
- Cardiovascular Research Institute BaselUniversity Hospital Basel, University of BaselBaselSwitzerland
- CardiologyUniversity Hospital Basel, University of BaselBaselSwitzerland
| | - Michael Coslovsky
- Department of Clinical ResearchUniversity Hospital Basel, University of BaselBaselSwitzerland
| | - Sven Knecht
- Cardiovascular Research Institute BaselUniversity Hospital Basel, University of BaselBaselSwitzerland
- CardiologyUniversity Hospital Basel, University of BaselBaselSwitzerland
| | - Ceylan Eken
- Cardiovascular Research Institute BaselUniversity Hospital Basel, University of BaselBaselSwitzerland
- CardiologyUniversity Hospital Basel, University of BaselBaselSwitzerland
| | - Mirko Lischer
- Cardiovascular Research Institute BaselUniversity Hospital Basel, University of BaselBaselSwitzerland
- CardiologyUniversity Hospital Basel, University of BaselBaselSwitzerland
| | - Rebecca E. Paladini
- Cardiovascular Research Institute BaselUniversity Hospital Basel, University of BaselBaselSwitzerland
- CardiologyUniversity Hospital Basel, University of BaselBaselSwitzerland
| | - Philipp Krisai
- Cardiovascular Research Institute BaselUniversity Hospital Basel, University of BaselBaselSwitzerland
- CardiologyUniversity Hospital Basel, University of BaselBaselSwitzerland
| | - Tobias Reichlin
- Department of CardiologyInselspital, Bern University Hospital, University of BernBernSwitzerland
| | - Nicolas Rodondi
- Department of General Internal MedicineInselspital, Bern University Hospital, University of BernBernSwitzerland
- Institute of Primary Health Care (BIHAM)University of BernBernSwitzerland
| | - Jürg H. Beer
- Department of Internal MedicineCantonal Hospital BadenBadenSwitzerland
| | - Peter Ammann
- Department of CardiologyKantonsspital St. GallenSt. GallenSwitzerland
| | - Giulio Conte
- Cardiocentro Ticino InstituteEnte Ospedaliero CantonaleLuganoSwitzerland
| | | | - Richard Kobza
- Cardiology DivisionHeart Center, Luzerner KantonsspitalLuzernSwitzerland
| | - Manuel R. Blum
- Department of General Internal MedicineInselspital, Bern University Hospital, University of BernBernSwitzerland
- Institute of Primary Health Care (BIHAM)University of BernBernSwitzerland
| | - Matthias Bossard
- Cardiology DivisionHeart Center, Luzerner KantonsspitalLuzernSwitzerland
| | | | - André Ziegler
- Roche Diagnostics International AGRotkreuzSwitzerland
| | - Christian Müller
- Cardiovascular Research Institute BaselUniversity Hospital Basel, University of BaselBaselSwitzerland
- CardiologyUniversity Hospital Basel, University of BaselBaselSwitzerland
| | - Leo H. Bonati
- Cardiovascular Research Institute BaselUniversity Hospital Basel, University of BaselBaselSwitzerland
- Department of Neurology and Stroke CenterUniversity Hospital Basel, University of BaselBaselSwitzerland
| | - Otmar Pfister
- Cardiovascular Research Institute BaselUniversity Hospital Basel, University of BaselBaselSwitzerland
- CardiologyUniversity Hospital Basel, University of BaselBaselSwitzerland
| | - Christine S. Zuern
- Cardiovascular Research Institute BaselUniversity Hospital Basel, University of BaselBaselSwitzerland
- CardiologyUniversity Hospital Basel, University of BaselBaselSwitzerland
| | - David Conen
- Population Health Research InstituteMcMaster UniversityHamiltonCanada
| | - Michael Kühne
- Cardiovascular Research Institute BaselUniversity Hospital Basel, University of BaselBaselSwitzerland
- CardiologyUniversity Hospital Basel, University of BaselBaselSwitzerland
| | - Stefan Osswald
- Cardiovascular Research Institute BaselUniversity Hospital Basel, University of BaselBaselSwitzerland
- CardiologyUniversity Hospital Basel, University of BaselBaselSwitzerland
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8
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Xie Y, Acosta JN, Ye Y, Demarais ZS, Conlon CJ, Chen M, Zhao H, Falcone GJ. Whole-Exome Sequencing Analyses Support a Role of Vitamin D Metabolism in Ischemic Stroke. Stroke 2023; 54:800-809. [PMID: 36762557 PMCID: PMC10467223 DOI: 10.1161/strokeaha.122.040883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 12/22/2022] [Indexed: 02/11/2023]
Abstract
BACKGROUND Ischemic stroke (IS) is a highly heritable trait, and genome-wide association studies have identified several commonly occurring susceptibility risk loci for this condition. However, there are limited data on the contribution of rare genetic variation to IS. METHODS We conducted an exome-wide study using whole-exome sequencing data from 152 058 UK Biobank participants, including 1777 IS cases. We performed single-variant analyses for rare variants and gene-based analyses for loss-of-function and deleterious missense rare variants. We validated these results through (1) gene-based testing using summary statistics from MEGASTROKE-a genome-wide association study of IS that included 67 162 IS cases and 454 450 controls, (2) gene-based testing using individual-level data from 1706 IS survivors, including 142 recurrent IS cases, enrolled in the VISP trial (Vitamin Intervention for Stroke Prevention); and (3) gene-based testing against neuroimaging phenotypes related to cerebrovascular disease using summary-level data from 42 310 UK Biobank participants with available magnetic resonance imaging data. RESULTS In single-variant association analyses, none of the evaluated variants were associated with IS at genome-wide significance levels (P<5×10-8). In the gene-based analysis focused on loss-of-function and deleterious missense variants, rare genetic variation at CYP2R1 was significantly associated with IS risk (P=2.6×10-6), exceeding the Bonferroni-corrected threshold for 16 074 tests (P<3.1×10-6). Validations analyses indicated that CYP2R1 was associated with IS risk in MEGASTROKE (gene-based test, P=0.003), with IS recurrence in the VISP trial (gene-based test, P=0.001) and with neuroimaging traits (white matter hyperintensity, mean diffusivity, and fractional anisotropy) in the UK Biobank neuroimaging study (all gene-based tests, P<0.05). CONCLUSIONS Because CYP2R1 plays an important role in vitamin D metabolism and existing observational evidence suggests an association between vitamin D levels and cerebrovascular disease, our results support a role of this pathway in the occurrence of IS.
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Affiliation(s)
- Yuhan Xie
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
| | - Julián N. Acosta
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Yixuan Ye
- Program of Computational Biology and Bioinformatics, Yale School of Medicine, New Haven, CT, USA
| | - Zachariah S. Demarais
- Frank H. Netter M.D. School of Medicine, Quinnipiac University, North Haven, CT, USA
| | - Carolyn J. Conlon
- Frank H. Netter M.D. School of Medicine, Quinnipiac University, North Haven, CT, USA
| | - Ming Chen
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
| | - Hongyu Zhao
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
- Program of Computational Biology and Bioinformatics, Yale School of Medicine, New Haven, CT, USA
| | - Guido J. Falcone
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
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9
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Chen J, Chen J, Zhu T, Fu Y, Cheongi IH, Yi K, Wang H, Li X. Causal relationships of excessive daytime napping with atherosclerosis and cardiovascular diseases: a Mendelian randomization study. Sleep 2023; 46:6775966. [PMID: 36302037 DOI: 10.1093/sleep/zsac257] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 08/17/2022] [Indexed: 11/27/2022] Open
Abstract
STUDY OBJECTIVES Previous observational studies have found conflicting evidence on the relationship between daytime napping and incident cardiovascular diseases (CVDs), but it remains unclear whether these associations present causality. This study aims to verify whether and why there is a causal relationship between these parameters, and whether there is an etiological basis. METHODS A two-sample Mendelian randomization analysis was performed using 79 single nucleotide polymorphisms associated with daytime napping. Summary-level data for coronary atherosclerosis, peripheral atherosclerosis, total CVD, and five CVD outcomes were obtained from the FinnGen study. Meta-analyses were aimed at investigating the relationships of excessive daytime napping with total CVD, coronary heart disease, myocardial infarction (MI), and stroke incidence. Subgroup, network meta-analysis (NMA) and trial sequential analysis (TSA) were also performed in this study. RESULTS The inverse-variance weighted method demonstrated that a genetic predisposition to more frequent daytime napping was significantly associated with higher odds of coronary atherosclerosis (odds ratio [OR] = 1.55, 95% confidence interval [CI]: 1.11 to 2.17), MI (OR = 1.63, 95% CI: 1.06 to 2.50), and heart failure (OR = 1.80, 95%CI: 1.28 to 2.52). In NMA, an increased risk of developing CVD in people who napped for more than 60 min a day than those who did not nap was demonstrated and then supported by TSA results (summary relative risk = 1.98, 95% CI: 1.39 to 2.82). CONCLUSION Habitual daytime napping is causally associated with an increased risk of incident CVD primarily via the development of coronary atherosclerosis. An average napping duration of more than 60 min is associated with an elevated risk of CVD in all participants.
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Affiliation(s)
- Jiayun Chen
- State Key Laboratory of Oncogenes and Related Genes, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jie Chen
- State Key Laboratory of Oncogenes and Related Genes, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tianren Zhu
- State Key Laboratory of Oncogenes and Related Genes, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuanyuan Fu
- State Key Laboratory of Oncogenes and Related Genes, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Io Hong Cheongi
- State Key Laboratory of Oncogenes and Related Genes, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Kexin Yi
- State Key Laboratory of Oncogenes and Related Genes, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hui Wang
- State Key Laboratory of Oncogenes and Related Genes, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xue Li
- State Key Laboratory of Oncogenes and Related Genes, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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10
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Xu H, Nguyen K, Gaynor BJ, Ling H, Zhao W, McArdle PF, O’Connor TD, Stine OC, Ryan KA, Lynch M, Smith JA, Faul JD, Hu Y, Haessler JW, Fornage M, Kooperberg C, Perry JA, Hong CC, Cole JW, Pugh E, Doheny K, Kardia SLR, Weir DR, Kittner SJ, Mitchell BD. Exome Array Analysis of 9721 Ischemic Stroke Cases from the SiGN Consortium. Genes (Basel) 2022; 14:61. [PMID: 36672803 PMCID: PMC9858999 DOI: 10.3390/genes14010061] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 12/21/2022] [Accepted: 12/22/2022] [Indexed: 12/29/2022] Open
Abstract
Recent genome wide association studies have identified 89 common genetic variants robustly associated with ischemic stroke and primarily located in non-coding regions. To evaluate the contribution of coding variants, which are mostly rare, we performed an exome array analysis on 106,101 SNPs for 9721 ischemic stroke cases from the SiGN Consortium, and 12,345 subjects with no history of stroke from the Health Retirement Study and SiGN consortium. We identified 15 coding variants significantly associated with all ischemic stroke at array-wide threshold (i.e., p < 4.7 × 10-7), including two common SNPs in ABO that have previously been associated with stroke. Twelve of the remaining 13 variants were extremely rare in European Caucasians (MAF < 0.1%) and the associations were driven by African American samples. There was no evidence for replication of these associations in either TOPMed Stroke samples (n = 5613 cases) or UK Biobank (n = 5874 stroke cases), although power to replicate was very low given the low allele frequencies of the associated variants and a shortage of samples from diverse ancestries. Our study highlights the need for acquiring large, well-powered diverse cohorts to study rare variants, and the technical challenges using array-based genotyping technologies for rare variant genotyping.
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Affiliation(s)
- Huichun Xu
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Kevin Nguyen
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Brady J. Gaynor
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Hua Ling
- Center for Inherited Disease Research, Dept. of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Wei Zhao
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Patrick F. McArdle
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Timothy D. O’Connor
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - O. Colin Stine
- Department of Epidemiology & Public Health, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Kathleen A. Ryan
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Megan Lynch
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Jennifer A. Smith
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Jessica D. Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48109, USA
| | - Yao Hu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Jeffrey W. Haessler
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Myriam Fornage
- Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Charles Kooperberg
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | | | - James A. Perry
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Charles C. Hong
- Department of Cardiology Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - John W. Cole
- Department of Neurology Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Elizabeth Pugh
- Center for Inherited Disease Research, Dept. of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Kimberly Doheny
- Center for Inherited Disease Research, Dept. of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Sharon L. R. Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - David R. Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48109, USA
| | - Steven J. Kittner
- Department of Neurology Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Braxton D. Mitchell
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD 21201, USA
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11
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Morris-Blanco KC, Chokkalla AK, Arruri V, Jeong S, Probelsky SM, Vemuganti R. Epigenetic mechanisms and potential therapeutic targets in stroke. J Cereb Blood Flow Metab 2022; 42:2000-2016. [PMID: 35854641 PMCID: PMC9580166 DOI: 10.1177/0271678x221116192] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Accumulating evidence indicates a central role for epigenetic modifications in the progression of stroke pathology. These epigenetic mechanisms are involved in complex and dynamic processes that modulate post-stroke gene expression, cellular injury response, motor function, and cognitive ability. Despite decades of research, stroke continues to be classified as a leading cause of death and disability worldwide with limited clinical interventions. Thus, technological advances in the field of epigenetics may provide innovative targets to develop new stroke therapies. This review presents the evidence on the impact of epigenomic readers, writers, and erasers in both ischemic and hemorrhagic stroke pathophysiology. We specifically explore the role of DNA methylation, DNA hydroxymethylation, histone modifications, and epigenomic regulation by long non-coding RNAs in modulating gene expression and functional outcome after stroke. Furthermore, we highlight promising pharmacological approaches and biomarkers in relation to epigenetics for translational therapeutic applications.
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Affiliation(s)
| | - Anil K Chokkalla
- Department of Neurological Surgery, University of Wisconsin-Madison, Madison, WI, USA
| | - Vijay Arruri
- Department of Neurological Surgery, University of Wisconsin-Madison, Madison, WI, USA
| | - Soomin Jeong
- Department of Neurological Surgery, University of Wisconsin-Madison, Madison, WI, USA.,Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI, USA
| | - Samantha M Probelsky
- Department of Neurological Surgery, University of Wisconsin-Madison, Madison, WI, USA
| | - Raghu Vemuganti
- Department of Neurological Surgery, University of Wisconsin-Madison, Madison, WI, USA.,Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI, USA.,William S. Middleton Veterans Administration Hospital, Madison, WI, USA
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12
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Adebamowo CA, Adeyemo A, Ashaye A, Akpa OM, Chikowore T, Choudhury A, Fakim YJ, Fatumo S, Hanchard N, Hauser M, Mitchell B, Mulder N, Ofori-Acquah SF, Owolabi M, Ramsay M, Tayo B, VasanthKumar AB, Zhang Y, Adebamowo SN. Polygenic risk scores for CARDINAL study. Nat Genet 2022; 54:527-530. [PMID: 35513726 PMCID: PMC9907721 DOI: 10.1038/s41588-022-01074-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
The Cardiometabolic Disorders in African-Ancestry Populations (CARDINAL) study site is a well-powered, first-of-its-kind resource for developing, refining and validating methods for research into polygenic risk scores that accounts for local ancestry, to improve risk prediction in diverse populations.
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Affiliation(s)
- Clement A Adebamowo
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA
- University of Maryland Marlene and Stewart Greenbaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD, USA
| | | | - Adeyinka Ashaye
- Department of Ophthalmology, University of Ibadan, Ibadan, Nigeria
| | - Onoja M Akpa
- Department of Epidemiology and Medical Statistics, University of Ibadan, Ibadan, Nigeria
| | - Tinashe Chikowore
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Ananyo Choudhury
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Yasmina J Fakim
- Department of Biotechnology, University of Mauritius, Reduit, MU, Mauritius
| | - Segun Fatumo
- The African Computational Genomics (TACG) Research Group, MRC/UVRI and LSHTM (Uganda Research Unit), Entebbe, Uganda
- London School of Hygiene and Tropical Medicine, London, UK
| | - Neil Hanchard
- National Human Genome Research Institute, Rockville, MD, USA
| | - Michael Hauser
- Department of Medicine, Duke University, Durham, NC, USA
| | - Braxton Mitchell
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Nicola Mulder
- Computational Biology Division, IDM, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Solomon F Ofori-Acquah
- West African Genetic Medicine Centre (WAGMC), University of Ghana, Accra, Ghana
- Center for Translational and International Hematology, Vascular Medicine Institute, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mayowa Owolabi
- Department of Medicine and Center for Genomic and Precision Medicine, University of Ibadan, Ibadan, Nigeria
| | - Michèle Ramsay
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Bamidele Tayo
- Department of Public Health Sciences, Loyola University Chicago, Maywood, IL, USA
| | | | - Yuji Zhang
- University of Maryland Marlene and Stewart Greenbaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD, USA
- Division of Biostatistics and Bioinformatics, Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Sally N Adebamowo
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA.
- University of Maryland Marlene and Stewart Greenbaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD, USA.
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13
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Abstract
Stroke is the second leading cause of death worldwide and a complex, heterogeneous condition. In this review, we provide an overview of the current knowledge on monogenic and multifactorial forms of stroke, highlighting recent insight into the continuum between these. We describe how, in recent years, large-scale genome-wide association studies have enabled major progress in deciphering the genetic basis for stroke and its subtypes, although more research is needed to interpret these findings. We cover the potential of stroke genetics to reveal novel pathophysiological processes underlying stroke, to accelerate the discovery of new therapeutic approaches, and to identify individuals in the population who are at high risk of stroke and could be targeted for tailored preventative interventions.
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Affiliation(s)
- Stéphanie Debette
- Bordeaux Population Health Research Center, Inserm U1219, University of Bordeaux, France (S.D.).,Department of Neurology, Bordeaux University Hospital, Institute for Neurodegenerative Diseases, France (S.D.)
| | - Hugh S Markus
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, United Kingdom (H.S.M.)
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