Genomics and phenomics of body mass index reveals a complex disease network

Jie Huang(Southern University of Science and Technology), Jennifer E. Huffman(VA Boston Healthcare System), Yunfeng Huang(Emory University), Ítalo Faria do Valle(Northeastern University), Themistocles L. Assimes(VA Palo Alto Health Care System), Sridharan Raghavan(VA Eastern Colorado Health Care System), Benjamin F. Voight(Translational Therapeutics (United States)), Chang Liu(Emory University), Albert-Ĺaszló Barabási(Brigham and Women's Hospital), Rose D. L. Huang(VA Boston Healthcare System), Qin Hui(Emory University), Xuan‐Mai T. Nguyen(Illinois College), Yuk‐Lam Ho(VA Boston Healthcare System), Luc Djoussé(Brigham and Women's Hospital), Julie A. Lynch(University of Massachusetts Boston), Marijana Vujković(Philadelphia VA Medical Center), Catherine Tcheandjieu(VA Palo Alto Health Care System), Hua Tang(VA Palo Alto Health Care System), Scott M. Damrauer(Philadelphia VA Medical Center), Peter D. Reaven(University of Arizona), Donald R. Miller(Bedford VA Research Corporation), Lawrence S. Phillips(Emory University), Maggie C. Y. Ng(Vanderbilt University Medical Center), Mariaelisa Graff(University of North Carolina at Chapel Hill), Christopher A. Haiman(University of Southern California), Ruth J. F. Loos(University of Copenhagen), Kari E. North(University of North Carolina at Chapel Hill), Loïc Yengo(The University of Queensland), George Davey Smith(University of Bristol), Danish Saleheen(Columbia University Irving Medical Center), J. Michael Gaziano(Brigham and Women's Hospital), Daniel J. Rader(University of Pennsylvania), Philip S. Tsao(VA Palo Alto Health Care System), Kelly Cho(Brigham and Women's Hospital), Kyong‐Mi Chang(Philadelphia VA Medical Center), Peter W.F. Wilson(Emory University), VA Million Veteran Program(Emory University), Yan V. Sun(Emory University), Christopher J. O’Donnell(VA Boston Healthcare System)
Nature Communications
December 29, 2022
Cited by 179Open Access
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Abstract

Elevated body mass index (BMI) is heritable and associated with many health conditions that impact morbidity and mortality. The study of the genetic association of BMI across a broad range of common disease conditions offers the opportunity to extend current knowledge regarding the breadth and depth of adiposity-related diseases. We identify 906 (364 novel) and 41 (6 novel) genome-wide significant loci for BMI among participants of European (N~1.1 million) and African (N~100,000) ancestry, respectively. Using a BMI genetic risk score including 2446 variants, 316 diagnoses are associated in the Million Veteran Program, with 96.5% showing increased risk. A co-morbidity network analysis reveals seven disease communities containing multiple interconnected diseases associated with BMI as well as extensive connections across communities. Mendelian randomization analysis confirms numerous phenotypes across a breadth of organ systems, including conditions of the circulatory (heart failure, ischemic heart disease, atrial fibrillation), genitourinary (chronic renal failure), respiratory (respiratory failure, asthma), musculoskeletal and dermatologic systems that are deeply interconnected within and across the disease communities. This work shows that the complex genetic architecture of BMI associates with a broad range of major health conditions, supporting the need for comprehensive approaches to prevent and treat obesity.


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