Genome-wide association and multi-trait analyses characterize the common genetic architecture of heart failure

被引:0
作者
Michael G. Levin
Noah L. Tsao
Pankhuri Singhal
Chang Liu
Ha My T. Vy
Ishan Paranjpe
Joshua D. Backman
Tiffany R. Bellomo
William P. Bone
Kiran J. Biddinger
Qin Hui
Ozan Dikilitas
Benjamin A. Satterfield
Yifan Yang
Michael P. Morley
Yuki Bradford
Megan Burke
Nosheen Reza
Brian Charest
Renae L. Judy
Megan J. Puckelwartz
Hakon Hakonarson
Atlas Khan
Leah C. Kottyan
Iftikhar Kullo
Yuan Luo
Elizabeth M. McNally
Laura J. Rasmussen-Torvik
Sharlene M. Day
Ron Do
Lawrence S. Phillips
Patrick T. Ellinor
Girish N. Nadkarni
Marylyn D. Ritchie
Zoltan Arany
Thomas P. Cappola
Kenneth B. Margulies
Krishna G. Aragam
Christopher M. Haggerty
Jacob Joseph
Yan V. Sun
Benjamin F. Voight
Scott M. Damrauer
机构
[1] University of Pennsylvania,Division of Cardiovascular Medicine, Perelman School of Medicine
[2] Corporal Michael J. Crescenz VA Medical Center,Department of Surgery
[3] University of Pennsylvania Perelman School of Medicine,Department of Genetics
[4] University of Pennsylvania Perelman School of Medicine,Department of Epidemiology, Rollins School of Public Health
[5] Emory University,The Charles Bronfman Institute of Personalized Medicine
[6] Icahn School of Medicine at Mount Sinai,Department of Medicine
[7] Stanford University School of Medicine,Genomics and Computational Biology Graduate Group, Perelman School of Medicine
[8] Regeneron Genetics Center,Center for Genomic Medicine, Massachusetts General Hospital
[9] University of Pennsylvania,Program in Medical and Population Genetics and Cardiovascular Disease Initiative
[10] Harvard Medical School,Cardiovascular Research Center
[11] Broad Institute of MIT and Harvard,Departments of Internal Medicine and Cardiovascular Medicine, and Mayo Clinician
[12] Massachusetts General Hospital,Investigator Training Program
[13] Emory University School of Public Health,Department of Cardiovascular Medicine
[14] Atlanta VA Health Care System,Cardiovascular Institute, Perelman School of Medicine
[15] Mayo Clinic,Massachusetts Veterans Epidemiology Research and Information Center
[16] Mayo Clinic,Department of Pharmacology, Center for Genetic Medicine
[17] University of Pennsylvania,Center for Applied Genomics
[18] VA Boston Healthcare System,Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons
[19] Northwestern University Feinberg School of Medicine,Department of Pediatrics, Division of Human Genetics and Center for Autoimmune Genomics and Etiology
[20] The Children’s Hospital of Philadelphia,Department of Preventive Medicine, Feinberg School of Medicine
[21] Columbia University,Center for Genetic Medicine, Bluhm Cardiovascular Institute
[22] Cincinnati Children’s Hospital Medical Center,Department of Preventive Medicine
[23] Northwestern University,The Charles Bronfman Institute for Personalized Medicine, BioMe Phenomics Center, and Department of Genetics and Genomic Sciences
[24] Northwestern University Feinberg School of Medicine,Division of Endocrinology
[25] Northwestern University Feinberg School of Medicine,Cardiovascular Research Center and Cardiac Arrhythmia Service
[26] Icahn School of Medicine at Mount Sinai,Division of Nephrology, Department of Medicine
[27] Emory University School of Medicine,Institute for Biomedical Informatics
[28] Massachusetts General Hospital,Department of Translational Data Science and Informatics and Heart Institute
[29] Icahn School of Medicine at Mount Sinai,Department of Medicine, Brigham and Women’s Hospital
[30] University of Pennsylvania Perelman School of Medicine,Department of Systems Pharmacology and Translational Therapeutics
[31] Geisinger,Institute of Translational Medicine and Therapeutics
[32] Harvard Medical School,undefined
[33] University of Pennsylvania Perelman School of Medicine,undefined
[34] University of Pennsylvania Perelman School of Medicine,undefined
来源
Nature Communications | / 13卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Heart failure is a leading cause of cardiovascular morbidity and mortality. However, the contribution of common genetic variation to heart failure risk has not been fully elucidated, particularly in comparison to other common cardiometabolic traits. We report a multi-ancestry genome-wide association study meta-analysis of all-cause heart failure including up to 115,150 cases and 1,550,331 controls of diverse genetic ancestry, identifying 47 risk loci. We also perform multivariate genome-wide association studies that integrate heart failure with related cardiac magnetic resonance imaging endophenotypes, identifying 61 risk loci. Gene-prioritization analyses including colocalization and transcriptome-wide association studies identify known and previously unreported candidate cardiomyopathy genes and cellular processes, which we validate in gene-expression profiling of failing and healthy human hearts. Colocalization, gene expression profiling, and Mendelian randomization provide convergent evidence for the roles of BCKDHA and circulating branch-chain amino acids in heart failure and cardiac structure. Finally, proteome-wide Mendelian randomization identifies 9 circulating proteins associated with heart failure or quantitative imaging traits. These analyses highlight similarities and differences among heart failure and associated cardiovascular imaging endophenotypes, implicate common genetic variation in the pathogenesis of heart failure, and identify circulating proteins that may represent cardiomyopathy treatment targets.
引用
收藏
相关论文
共 108 条
  • [1] Ponikowski P(2016)2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure: The Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC) developed with the special contribution of the Heart Failure Association (HFA) of the ESC Eur. Heart J. 37 2129-2200
  • [2] Tsutsui H(2019)JCS 2017/JHFS 2017 Guideline on Diagnosis and Treatment of Acute and Chronic Heart Failure- Digest Version Circ. J. 83 2084-2184
  • [3] Bozkurt B(2021)Universal definition and classification of heart failure: a report of the Heart Failure Society of America, Heart Failure Association of the European Society of Cardiology, Japanese Heart Failure Society and Writing Committee of the Universal Definition of Heart Failure J. Card. Fail. 27 387-413
  • [4] Shah S(2020)Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure Nat. Commun. 11 1-12
  • [5] Pulit SL(2010)Multiethnic genetic association studies improve power for locus discovery PLoS ONE 5 e12600-679
  • [6] Voight BF(2021)The power of genetic diversity in genome-wide association studies of lipids Nature 600 675-501
  • [7] de Bakker PIW(2019)The continuous heart failure spectrum: moving beyond an ejection fraction classification Eur. Heart J. 40 2155-451
  • [8] Graham SE(2019)Phenotypic refinement of heart failure in a national biobank facilitates genetic discovery Circulation 139 489-525
  • [9] Triposkiadis F(2019)Multivariate genome-wide analyses of the well-being spectrum Nat. Genet. 51 445-237
  • [10] Aragam KG(2019)Genomic structural equation modelling provides insights into the multivariate genetic architecture of complex traits Nat. Hum. Behav. 3 513-134