Title | Genomics and phenomics of body mass index reveals a complex disease network |
Author | Huang, Jie1 ![]() ![]() ![]() |
Corresponding Author | Sun, Yan, V; O'Donnell, Christopher J. |
Publication Years | 2022-12-29
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DOI | |
Source Title | |
EISSN | 2041-1723
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Volume | 13Issue:1 |
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 similar to 1.1 million) and African (N similar to 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. |
URL | [Source Record] |
Indexed By | |
Language | English
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SUSTech Authorship | First
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Funding Project | Department of Veterans Affairs Office of Research and Development, Million Veteran Program["I01-BX003340","I01-BX004821"]
; NIH["R01DK110113","R01DK075787","R01DK107786","1P01HL132825"]
; Novo Nordisk Foundation[190503]
; Australian Research Council[DE200100425]
; Department of Veterans Affairs[36C24122N0769]
; European Union[810115 - DYNASNET]
; Medical Research Council[MC_UU_00011/1]
; [R01 NR013520]
; [R01 DK101478]
; [DK126194]
; [IK2-CX001780]
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WOS Research Area | Science & Technology - Other Topics
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WOS Subject | Multidisciplinary Sciences
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WOS Accession No | WOS:000905913700005
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Publisher | |
Data Source | Web of Science
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Citation statistics |
Cited Times [WOS]:1
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Document Type | Journal Article |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/420647 |
Department | School of Public Health and Emergency Management |
Affiliation | 1.Southern Univ Sci & Technol, Sch Publ Hlth & Emergency Management, Shenzhen, Guangdong, Peoples R China 2.VA Boston Healthcare Syst, Massachusetts Vet Epidemiol Res & Informat Ctr MA, Ctr Populat Genom, Boston, MA 02130 USA 3.Emory Univ, Dept Epidemiol, Rollins Sch Publ Hlth, Atlanta, GA 30322 USA 4.Atlanta VA Hlth Care Syst, Decatur, GA 30033 USA 5.Northeastern Univ, Network Sci Inst, Boston, MA 02115 USA 6.Northeastern Univ, Dept Phys, Boston, MA 02115 USA 7.VA Boston Healthcare Syst, MAVERIC, Div Populat Hlth & Data Sci, Boston, MA USA 8.VA Palo Alto Hlth Care Syst, Palo Alto, CA USA 9.Stanford Univ, Dept Med, Sch Med, Stanford, CA USA 10.VA Eastern Colorado Healthcare Syst, Aurora, CO USA 11.Univ Colorado, Sch Med, Aurora, CO USA 12.Corporal Michael J Crescenz VA Med Ctr, Philadelphia, PA USA 13.Univ Penn, Dept Syst Pharmacol & Translat Therapeut, Philadelphia, PA 19104 USA 14.Univ Penn, Dept Genet, Philadelphia, PA 19104 USA 15.Univ Penn, Inst Translat Med & Therapeut, Perelman Sch Med, Philadelphia, PA 19104 USA 16.Harvard Med Sch, Brigham & Womens Hosp, Dept Med, Channing Div Network Med, Boston, MA USA 17.Cent European Univ, Dept Network & Data Sci, Budapest, Hungary 18.Carle Illinois Coll Med, Champaign, IL USA 19.VA Boston Healthcare Syst, Massachusetts Vet Epidemiol Res & Informat Ctr MA, Boston, MA USA 20.Harvard Med Sch, Dept Med, Brigham & Womens Hosp, Boston, MA 02115 USA 21.VA Salt Lake City Healthcare, Salt Lake City, UT USA 22.Univ Massachusetts, Boston, MA 02125 USA 23.Univ Penn, Dept Med, Perelman Sch Med, Philadelphia, PA 19104 USA 24.Stanford Univ, Dept Genet, Sch Med, Stanford, CA 94305 USA 25.Univ Penn, Dept Surg, Perelman Sch Med, Philadelphia, PA 19104 USA 26.Univ Penn, Dept Genet, Perelman Sch Med, Philadelphia, PA USA 27.Phoenix VA Hlth Care Syst, Phoenix, AZ USA 28.Univ Arizona, Coll Med, Phoenix, AZ USA 29.Bedford VA Med Ctr, Ctr Healthcare Org & Implementat Res, Bedford, MA USA 30.Emory Univ, Sch Med, Dept Med, Div Endocrinol, Atlanta, GA USA 31.Vanderbilt Univ Sch Med, Vanderbilt Genet Inst, Nashville, TN USA 32.Vanderbilt Univ Sch Med, Div Genet Med, Nashville, TN USA 33.Univ North Carolina Chapel Hill, Dept Epidemiol, Gillings Sch Global Publ Hlth, Chapel Hill, NC USA 34.Univ Southern Calif, Keck Sch Med, Dept Prevent Med, Los Angeles, CA USA 35.Icahn Sch Med Mt Sinai, Charles Bronfman Inst Personalized Med, New York, NY 10029 USA 36.Icahn Sch Med Mt Sinai, Mindich Child Hlth & Dev Inst, New York, NY 10029 USA 37.Univ Copenhagen, Novo Nordisk Fdn Ctr Basic Metab Res, Fac Hlth & Med Sci, Copenhagen, Denmark 38.Univ Queensland, Inst Mol Biosci, Brisbane, Qld, Australia 39.Univ Bristol, Bristol Med Sch, Populat Hlth Sci, Bristol, Avon, England 40.Univ Bristol, Med Res Council Integrat Epidemiol Unit, Bristol, Avon, England 41.Ctr Noncommunicable Dis, Karachi, Sindh, Pakistan 42.Columbia Univ, Dept Med, Irving Med Ctr, New York, NY USA 43.Columbia Univ, Dept Cardiol, Irving Med Ctr, New York, NY USA 44.Emory Univ, Div Cardiol, Sch Med, Atlanta, GA USA 45.VA Boston Healthcare Syst, Cardiol Sect, Boston, MA 02130 USA |
First Author Affilication | Southern University of Science and Technology |
First Author's First Affilication | Southern University of Science and Technology |
Recommended Citation GB/T 7714 |
Huang, Jie,Huffman, Jennifer E.,Huang, Yunfeng,et al. Genomics and phenomics of body mass index reveals a complex disease network[J]. NATURE COMMUNICATIONS,2022,13(1).
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APA |
Huang, Jie.,Huffman, Jennifer E..,Huang, Yunfeng.,Do Valle, Italo.,Assimes, Themistocles L..,...&O'Donnell, Christopher J..(2022).Genomics and phenomics of body mass index reveals a complex disease network.NATURE COMMUNICATIONS,13(1).
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MLA |
Huang, Jie,et al."Genomics and phenomics of body mass index reveals a complex disease network".NATURE COMMUNICATIONS 13.1(2022).
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