@article{f7360c0e14bf402a8d71338e18d44656,
title = "The polygenic architecture of left ventricular mass mirrors the clinical epidemiology",
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.",
author = "Mosley, {Jonathan D.} and Levinson, {Rebecca T.} and Eric Farber-Eger and Edwards, {Todd L.} and Hellwege, {Jacklyn N.} and Hung, {Adriana M.} and Ayush Giri and Shuey, {Megan M.} and Shaffer, {Christian M.} and Mingjian Shi and Brittain, {Evan L.} and Chung, {Wendy K.} and Kullo, {Iftikhar J.} and Arruda-Olson, {Adelaide M.} and Jarvik, {Gail P.} and Larson, {Eric B.} and Crosslin, {David R.} and Williams, {Marc S.} and Borthwick, {Ken M.} and Hakon Hakonarson and Denny, {Joshua C.} and Wang, {Thomas J.} and Stein, {Charles M.} and Roden, {Dan M.} and Wells, {Quinn S.}",
note = "Funding Information: The authors wish to acknowledge the expert technical support of the VANTAGE and VANGARD core facilities, supported in part by the Vanderbilt-Ingram Cancer Center and Vanderbilt Vision Center. Data on coronary artery disease and myocardial infarction have been contributed by CARDIoGRAMplusC4D investigators and have been downloaded from www.CARDIOGRAMPLUSC4D.ORG. See supplementary attachment for additional Million Veterans Project (MVP) acknowledgments. This work was supported by a career development award from the American Heart Association (16FTF30130005) (JDM), AHA 17IBDG33780015, AHA 17SFRN33520017, R01HL140074 (QSW), NIH/NHLBI 1R01HL140074 (QSW), R01 LM010685 (JCD), RO1 GM109145 (CMS), K01HL124045 (AMA-O), MVP #BX003360-01 (AMH). JNH was supported by the Vanderbilt Molecular and Genetic Epidemiology of Cancer (MAGEC) training program, funded by T32CA160056. VUMC{\textquoteright}s BioVU resource is supported by numerous sources: institutional funding, private agencies, and federal grants and include the NIH funded Shared Instrumentation Grant S10RR025141; and CTSA grants UL1TR002243, UL1TR000445, and UL1RR024975. Genomic data are also supported by investigator-led projects that include U01HG004798, R01NS032830, RC2GM092618, P50GM115305, U01HG006378, U19HL065962, R01HD074711; additional funding sources listed at https://victr.vanderbilt.edu/pub/biovu/. This eMERGE Network (Phase III) was initiated and funded by the NHGRI through the following grants: U01HG8657 (Group Health Cooperative/University of Washington); U01HG8685 (Brigham and Women{\textquoteright}s Hospital); U01HG8672 (Vanderbilt University Medical Center); U01HG8666 (Cincinnati Children{\textquoteright}s Hospital Medical Center); U01HG6379 (Mayo Clinic); U01HG8679 (Geisinger Clinic); U01HG8680 (Columbia University Health Sciences); U01HG8684 (Children{\textquoteright}s Hospital of Philadelphia); U01HG8673 (Northwestern University); U01HG8701 (Vanderbilt University Medical Center serving as the Coordinating Center); U01HG8676 (Partners Healthcare/Broad Institute); and U01HG8664 (Baylor College of Medicine). This research is based on data from the Million Veteran Program, Office of Research and Development, Veterans Health Administration, and was supported by award # [I01BX003360]. This work was supported using resources and facilities of the VA Informatics and Computing Infrastructure (VINCI), VA HSR RES 13-457. This publication does not represent the views of the Department of Veterans Affairs or the United States Government. Publisher Copyright: {\textcopyright} 2020, The Author(s).",
year = "2020",
month = dec,
day = "1",
doi = "10.1038/s41598-020-64525-z",
language = "English (US)",
volume = "10",
journal = "Scientific reports",
issn = "2045-2322",
publisher = "Nature Publishing Group",
number = "1",
}