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GWAS Study

Genetic and environmental determinants of diastolic heart function.

Thanaj M, Mielke J, McGurk KA et al.

35479509 PubMed ID
GWAS Study Type
34245 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

TM
Thanaj M
MJ
Mielke J
MK
McGurk KA
BW
Bai W
SN
Savioli N
DM
de Marvao A
MH
Meyer HV
ZL
Zeng L
SF
Sohler F
LR
Lumbers RT
WM
Wilkins MR
WJ
Ware JS
BC
Bender C
RD
Rueckert D
MA
MacNamara A
FD
Freitag DF
OD
O'Regan DP
Chapter II

Abstract

Summary of the research findings

Diastole is the sequence of physiological events that occur in the heart during ventricular filling and principally depends on myocardial relaxation and chamber stiffness. Abnormal diastolic function is related to many cardiovascular disease processes and is predictive of health outcomes, but its genetic architecture is largely unknown. Here, we use machine learning cardiac motion analysis to measure diastolic functional traits in 39,559 participants of the UK Biobank and perform a genome-wide association study. We identified 9 significant, independent loci near genes that are associated with maintaining sarcomeric function under biomechanical stress and genes implicated in the development of cardiomyopathy. Age, sex and diabetes were independent predictors of diastolic function and we found a causal relationship between genetically-determined ventricular stiffness and incident heart failure. Our results provide insights into the genetic and environmental factors influencing diastolic function that are relevant for identifying causal relationships and potential tractable targets.

23,321 European ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

34245
Total Participants
GWAS
Study Type
Yes
Replicated
10,924 European ancestry individuals
Replication Participants
European
Ancestry
U.K.
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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