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- Title
The polygenic architecture of left ventricular mass mirrors the clinical epidemiology.
- Authors
Mosley, Jonathan D.; Levinson, Rebecca T.; Farber-Eger, Eric; Edwards, Todd L.; Hellwege, Jacklyn N.; Hung, Adriana M.; Giri, Ayush; Shuey, Megan M.; Shaffer, Christian M.; Shi, Mingjian; Brittain, Evan L.; Chung, Wendy K.; Kullo, Iftikhar J.; Arruda-Olson, Adelaide M.; Jarvik, Gail P.; Larson, Eric B.; Crosslin, David R.; Williams, Marc S.; Borthwick, Ken M.; Hakonarson, Hakon
- 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.
- Subjects
HEART disease diagnosis; HEART disease genetics; SINGLE nucleotide polymorphisms; ATRIAL fibrillation; CLINICAL epidemiology
- Publication
Scientific Reports, 2020, Vol 10, Issue 1, p1
- ISSN
2045-2322
- Publication type
Article
- DOI
10.1038/s41598-020-64525-z