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

Authors :
Mosley JD
Levinson RT
Farber-Eger E
Edwards TL
Hellwege JN
Hung AM
Giri A
Shuey MM
Shaffer CM
Shi M
Brittain EL
Chung WK
Kullo IJ
Arruda-Olson AM
Jarvik GP
Larson EB
Crosslin DR
Williams MS
Borthwick KM
Hakonarson H
Denny JC
Wang TJ
Stein CM
Roden DM
Wells QS
Source :
Scientific reports [Sci Rep] 2020 May 05; Vol. 10 (1), pp. 7561. Date of Electronic Publication: 2020 May 05.
Publication Year :
2020

Abstract

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.

Details

Language :
English
ISSN :
2045-2322
Volume :
10
Issue :
1
Database :
MEDLINE
Journal :
Scientific reports
Publication Type :
Academic Journal
Accession number :
32372017
Full Text :
https://doi.org/10.1038/s41598-020-64525-z