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GWAS Study

Computational estimates of annular diameter reveal genetic determinants of mitral valve function and disease.

Yu M, Tcheandjieu C, Georges A et al.

35132965 PubMed ID
GWAS Study Type
27156 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

YM
Yu M
TC
Tcheandjieu C
GA
Georges A
XK
Xiao K
TH
Tejeda H
DC
Dina C
LT
Le Tourneau T
FM
Fiterau M
JR
Judy R
TN
Tsao NL
AD
Amgalan D
MC
Munger CJ
EJ
Engreitz JM
DS
Damrauer SM
BN
Bouatia-Naji N
PJ
Priest JR
Chapter II

Abstract

Summary of the research findings

The fibrous annulus of the mitral valve plays an important role in valvular function and cardiac physiology, while normal variation in the size of cardiovascular anatomy may share a genetic link with common and rare disease. We derived automated estimates of mitral valve annular diameter in the 4-chamber view from 32,220 MRI images from the UK Biobank at ventricular systole and diastole as the basis for GWAS. Mitral annular dimensions corresponded to previously described anatomical norms, and GWAS inclusive of 4 population strata identified 10 loci, including possibly novel loci (GOSR2, ERBB4, MCTP2, MCPH1) and genes related to cardiac contractility (BAG3, TTN, RBFOX1). ATAC-Seq of primary mitral valve tissue localized multiple variants to regions of open chromatin in biologically relevant cell types and rs17608766 to an algorithmically predicted enhancer element in GOSR2. We observed strong genetic correlation with measures of contractility and mitral valve disease and clinical correlations with heart failure, cerebrovascular disease, and ventricular arrhythmias. Polygenic scoring of mitral valve annular diameter in systole was predictive of risk mitral valve prolapse across 4 cohorts. In summary, genetic and clinical studies of mitral valve annular diameter revealed genetic determinants of mitral valve biology, while highlighting clinical associations. Polygenic determinants of mitral valve annular diameter may represent an independent risk factor for mitral prolapse. Overall, computationally estimated phenotypes derived at scale from medical imaging represent an important substrate for genetic discovery and clinical risk prediction.

27,156 British ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

27156
Total Participants
GWAS
Study Type
No
Replicated
European, South Asian, African unspecified, African American or Afro-Caribbean, East Asian
Ancestry
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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