Discovery and systematic characterization of risk variants and genes for coronary artery disease in over a million participants
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Published:2022-12
Issue:12
Volume:54
Page:1803-1815
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ISSN:1061-4036
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Container-title:Nature Genetics
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language:en
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Short-container-title:Nat Genet
Author:
Aragam Krishna G.ORCID, Jiang Tao, Goel AnujORCID, Kanoni StavroulaORCID, Wolford Brooke N.ORCID, Atri Deepak S.ORCID, Weeks Elle M.ORCID, Wang MinxianORCID, Hindy George, Zhou WeiORCID, Grace Christopher, Roselli CarolinaORCID, Marston Nicholas A., Kamanu Frederick K.ORCID, Surakka Ida, Venegas Loreto Muñoz, Sherliker Paul, Koyama SatoshiORCID, Ishigaki KazuyoshiORCID, Åsvold Bjørn O.ORCID, Brown Michael R., Brumpton BenORCID, de Vries Paul S., Giannakopoulou Olga, Giardoglou Panagiota, Gudbjartsson Daniel F.ORCID, Güldener UlrichORCID, Haider Syed M. Ijlal, Helgadottir AnnaORCID, Ibrahim Maysson, Kastrati Adnan, Kessler ThorstenORCID, Kyriakou Theodosios, Konopka Tomasz, Li LingORCID, Ma Lijiang, Meitinger Thomas, Mucha SörenORCID, Munz MatthiasORCID, Murgia FedericoORCID, Nielsen Jonas B., Nöthen Markus M., Pang ShichaoORCID, Reinberger Tobias, Schnitzler Gavin, Smedley DamianORCID, Thorleifsson GudmarORCID, von Scheidt MoritzORCID, Ulirsch Jacob C.ORCID, Danesh John, Arnar David O., Burtt Noël P., Costanzo Maria C.ORCID, Flannick JasonORCID, Ito KaoruORCID, Jang Dong-Keun, Kamatani Yoichiro, Khera Amit V.ORCID, Komuro IsseiORCID, Kullo Iftikhar J.ORCID, Lotta Luca A., Nelson Christopher P., Roberts RobertORCID, Thorgeirsson Gudmundur, Thorsteinsdottir Unnur, Webb Thomas R.ORCID, Baras ArisORCID, Björkegren Johan L. M.ORCID, Boerwinkle Eric, Dedoussis George, Holm HilmaORCID, Hveem Kristian, Melander Olle, Morrison Alanna C.ORCID, Orho-Melander MarjuORCID, Rallidis Loukianos S., Ruusalepp Arno, Sabatine Marc S., Stefansson KariORCID, Zalloua Pierre, Ellinor Patrick T., Farrall MartinORCID, Danesh John, Ruff Christian T., Finucane Hilary K.ORCID, Hopewell Jemma C., Clarke RobertORCID, Gupta Rajat M., Erdmann JeanetteORCID, Samani Nilesh J.ORCID, Schunkert HeribertORCID, Watkins HughORCID, Willer Cristen J.ORCID, Deloukas Panos, Kathiresan SekarORCID, Butterworth Adam S.ORCID, de Vries Paul S., von Scheidt Moritz, , ,
Abstract
AbstractThe discovery of genetic loci associated with complex diseases has outpaced the elucidation of mechanisms of disease pathogenesis. Here we conducted a genome-wide association study (GWAS) for coronary artery disease (CAD) comprising 181,522 cases among 1,165,690 participants of predominantly European ancestry. We detected 241 associations, including 30 new loci. Cross-ancestry meta-analysis with a Japanese GWAS yielded 38 additional new loci. We prioritized likely causal variants using functionally informed fine-mapping, yielding 42 associations with less than five variants in the 95% credible set. Similarity-based clustering suggested roles for early developmental processes, cell cycle signaling and vascular cell migration and proliferation in the pathogenesis of CAD. We prioritized 220 candidate causal genes, combining eight complementary approaches, including 123 supported by three or more approaches. Using CRISPR–Cas9, we experimentally validated the effect of an enhancer in MYO9B, which appears to mediate CAD risk by regulating vascular cell motility. Our analysis identifies and systematically characterizes >250 risk loci for CAD to inform experimental interrogation of putative causal mechanisms for CAD.
Publisher
Springer Science and Business Media LLC
Reference73 articles.
1. GBD 2019 Diseases and Injuries Collaborators. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 396, 1204–1222 (2020). 2. Howson, J. M. et al. Fifteen new risk loci for coronary artery disease highlight arterial-wall-specific mechanisms. Nat. Genet. 49, 1113–1119 (2017). 3. Ishigaki, K. et al. Large-scale genome-wide association study in a Japanese population identifies novel susceptibility loci across different diseases. Nat. Genet. 52, 669–679 (2020). 4. Klarin, D. et al. Genetic analysis in UK Biobank links insulin resistance and transendothelial migration pathways to coronary artery disease. Nat. Genet. 49, 1392–1397 (2017). 5. Koyama, S. et al. Population-specific and trans-ancestry genome-wide analyses identify distinct and shared genetic risk loci for coronary artery disease. Nat. Genet. 52, 1169–1177 (2020).
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