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GWAS Study

The polygenic architecture of left ventricular mass mirrors the clinical epidemiology.

Mosley JD, Levinson RT, Farber-Eger E et al.

32372017 PubMed ID
GWAS Study Type
7601 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

MJ
Mosley JD
LR
Levinson RT
FE
Farber-Eger E
ET
Edwards TL
HJ
Hellwege JN
HA
Hung AM
GA
Giri A
SM
Shuey MM
SC
Shaffer CM
SM
Shi M
BE
Brittain EL
CW
Chung WK
KI
Kullo IJ
AA
Arruda-Olson AM
JG
Jarvik GP
LE
Larson EB
CD
Crosslin DR
WM
Williams MS
BK
Borthwick KM
HH
Hakonarson H
DJ
Denny JC
WT
Wang TJ
SC
Stein CM
RD
Roden DM
WQ
Wells QS
Chapter II

Abstract

Summary of the research findings

Left ventricular (LV) mass is a prognostic biomarker for incident heart disease and all-cause mortality. Large-scale genome-wide association studies have identified few SNPs associated with LV mass. We hypothesized that a polygenic discovery approach using LV mass measurements made in a clinical population would identify risk factors and diseases associated with adverse LV remodeling. We developed a polygenic single nucleotide polymorphism-based predictor of LV mass in 7,601 individuals with LV mass measurements made during routine clinical care. We tested for associations between this predictor and 894 clinical diagnoses measured in 58,838 unrelated genotyped individuals. There were 29 clinical phenotypes associated with the LV mass genetic predictor at FDR q < 0.05. Genetically predicted higher LV mass was associated with modifiable cardiac risk factors, diagnoses related to organ dysfunction and conditions associated with abnormal cardiac structure including heart failure and atrial fibrillation. Secondary analyses using polygenic predictors confirmed a significant association between higher LV mass and body mass index and, in men, associations with coronary atherosclerosis and systolic blood pressure. In summary, these analyses show that LV mass-associated genetic variability associates with diagnoses of cardiac diseases and with modifiable risk factors which contribute to these diseases.

7,601 European ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

7601
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
Chapter IV

AI-Generated Summary

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