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

Author

Listed:
  • Michael G. Levin

    (University of Pennsylvania
    Corporal Michael J. Crescenz VA Medical Center)

  • Noah L. Tsao

    (University of Pennsylvania Perelman School of Medicine)

  • Pankhuri Singhal

    (University of Pennsylvania Perelman School of Medicine)

  • Chang Liu

    (Emory University)

  • Ha My T. Vy

    (Icahn School of Medicine at Mount Sinai)

  • Ishan Paranjpe

    (Stanford University School of Medicine)

  • Joshua D. Backman

    (Regeneron Genetics Center)

  • Tiffany R. Bellomo

    (University of Pennsylvania Perelman School of Medicine)

  • William P. Bone

    (University of Pennsylvania)

  • Kiran J. Biddinger

    (Harvard Medical School
    Broad Institute of MIT and Harvard
    Massachusetts General Hospital)

  • Qin Hui

    (Emory University School of Public Health
    Atlanta VA Health Care System)

  • Ozan Dikilitas

    (Mayo Clinic)

  • Benjamin A. Satterfield

    (Mayo Clinic)

  • Yifan Yang

    (University of Pennsylvania)

  • Michael P. Morley

    (University of Pennsylvania)

  • Yuki Bradford

    (University of Pennsylvania Perelman School of Medicine)

  • Megan Burke

    (University of Pennsylvania)

  • Nosheen Reza

    (University of Pennsylvania)

  • Brian Charest

    (VA Boston Healthcare System)

  • Renae L. Judy

    (University of Pennsylvania Perelman School of Medicine)

  • Megan J. Puckelwartz

    (Northwestern University Feinberg School of Medicine)

  • Hakon Hakonarson

    (The Children’s Hospital of Philadelphia)

  • Atlas Khan

    (Columbia University)

  • Leah C. Kottyan

    (Cincinnati Children’s Hospital Medical Center)

  • Iftikhar Kullo

    (Mayo Clinic)

  • Yuan Luo

    (Northwestern University)

  • Elizabeth M. McNally

    (Northwestern University Feinberg School of Medicine)

  • Laura J. Rasmussen-Torvik

    (Northwestern University Feinberg School of Medicine)

  • Sharlene M. Day

    (University of Pennsylvania
    University of Pennsylvania)

  • Ron Do

    (Icahn School of Medicine at Mount Sinai)

  • Lawrence S. Phillips

    (Atlanta VA Health Care System
    Emory University School of Medicine)

  • Patrick T. Ellinor

    (Broad Institute of MIT and Harvard
    Massachusetts General Hospital)

  • Girish N. Nadkarni

    (Icahn School of Medicine at Mount Sinai)

  • Marylyn D. Ritchie

    (University of Pennsylvania Perelman School of Medicine
    University of Pennsylvania Perelman School of Medicine)

  • Zoltan Arany

    (University of Pennsylvania
    University of Pennsylvania)

  • Thomas P. Cappola

    (University of Pennsylvania
    University of Pennsylvania)

  • Kenneth B. Margulies

    (University of Pennsylvania
    University of Pennsylvania)

  • Krishna G. Aragam

    (Harvard Medical School
    Broad Institute of MIT and Harvard)

  • Christopher M. Haggerty

    (Geisinger)

  • Jacob Joseph

    (VA Boston Healthcare System
    Harvard Medical School)

  • Yan V. Sun

    (Emory University School of Public Health
    Atlanta VA Health Care System)

  • Benjamin F. Voight

    (University of Pennsylvania Perelman School of Medicine
    University of Pennsylvania Perelman School of Medicine
    University of Pennsylvania Perelman School of Medicine)

  • Scott M. Damrauer

    (Corporal Michael J. Crescenz VA Medical Center
    University of Pennsylvania Perelman School of Medicine)

Abstract

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.

Suggested Citation

  • 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, 2022. "Genome-wide association and multi-trait analyses characterize the common genetic architecture of heart failure," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-34216-6
    DOI: 10.1038/s41467-022-34216-6
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