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GWAS Study

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

Levin MG, Tsao NL, Singhal P et al.

36376295 PubMed ID
GWAS Study Type
1993552 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

LM
Levin MG
TN
Tsao NL
SP
Singhal P
LC
Liu C
VH
Vy HMT
PI
Paranjpe I
BJ
Backman JD
BT
Bellomo TR
BW
Bone WP
BK
Biddinger KJ
HQ
Hui Q
DO
Dikilitas O
SB
Satterfield BA
YY
Yang Y
MM
Morley MP
BY
Bradford Y
BM
Burke M
RN
Reza N
CB
Charest B
JR
Judy RL
PM
Puckelwartz MJ
HH
Hakonarson H
KA
Khan A
KL
Kottyan LC
KI
Kullo I
LY
Luo Y
ME
McNally EM
RL
Rasmussen-Torvik LJ
DS
Day SM
DR
Do R
PL
Phillips LS
EP
Ellinor PT
NG
Nadkarni GN
RM
Ritchie MD
AZ
Arany Z
CT
Cappola TP
MK
Margulies KB
AK
Aragam KG
HC
Haggerty CM
JJ
Joseph J
SY
Sun YV
VB
Voight BF
DS
Damrauer SM
Chapter II

Abstract

Summary of the research findings

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.

5,791 African ancestry cases, 20,883 African ancestry controls, 1,170 admixed ancestry cases, 13,217 admixed ancestry controls, 12,665 East Asian ancestry cases, 245,263 East Asian ancestry controls, 95,524 European ancestry cases, 1,270,968 European ancestry controls

Chapter III

Study Statistics

Key metrics and study information

1993552
Total Participants
GWAS
Study Type
Yes
Replicated
48,886 European ancestry cases, 279,185 European ancestry controls
Replication Participants
European, African unspecified, Other admixed ancestry, East Asian
Ancestry
U.S., Japan, China, Finland, U.K.
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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Analysis In Progress

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