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Time-to-Event Genome-Wide Association Study for Incident Cardiovascular Disease in People with Type 2 Diabetes Mellitus.

TitleTime-to-Event Genome-Wide Association Study for Incident Cardiovascular Disease in People with Type 2 Diabetes Mellitus.
Publication TypeJournal Article
Year of Publication2023
AuthorsKwak, SHeon, Hernandez-Cancela, RB, DiCorpo, DA, Condon, DE, Merino, J, Wu, P, Brody, JA, Yao, J, Guo, X, Ahmadizar, F, Meyer, M, Sincan, M, Mercader, JM, Lee, S, Haessler, J, Vy, HMy T, Lin, Z, Armstrong, ND, Gu, S, Tsao, NL, Lange, LA, Wang, N, Wiggins, KL, Trompet, S, Liu, S, Loos, RJF, Judy, R, Schroeder, PH, Hasbani, NR, Bos, MM, Morrison, AC, Jackson, RD, Reiner, AP, Manson, JAE, Chaudhary, NS, Carmichael, LK, Chen, Y-DI, Taylor, KD, Ghanbari, M, van Meurs, J, Pitsillides, AN, Psaty, BM, Noordam, R, Do, R, Park, KSoo, J Jukema, W, Kavousi, M, Correa, A, Rich, SS, Damrauer, SM, Hajek, C, Cho, NH, Irvin, MR, Pankow, JS, Nadkarni, GN, Sladek, R, Goodarzi, MO, Florez, JC, Chasman, DI, Heckbert, SR, Kooperberg, C, Dupuis, J, Malhotra, R, de Vries, PS, Liu, C-T, Rotter, JI, Meigs, JB
JournalmedRxiv
Date Published2023 Jul 28
Abstract<p><b>BACKGROUND: </b>Type 2 diabetes mellitus (T2D) confers a two- to three-fold increased risk of cardiovascular disease (CVD). However, the mechanisms underlying increased CVD risk among people with T2D are only partially understood. We hypothesized that a genetic association study among people with T2D at risk for developing incident cardiovascular complications could provide insights into molecular genetic aspects underlying CVD.</p><p><b>METHODS: </b>From 16 studies of the Cohorts for Heart & Aging Research in Genomic Epidemiology (CHARGE) Consortium, we conducted a multi-ancestry time-to-event genome-wide association study (GWAS) for incident CVD among people with T2D using Cox proportional hazards models. Incident CVD was defined based on a composite of coronary artery disease (CAD), stroke, and cardiovascular death that occurred at least one year after the diagnosis of T2D. Cohort-level estimated effect sizes were combined using inverse variance weighted fixed effects meta-analysis. We also tested 204 known CAD variants for association with incident CVD among patients with T2D.</p><p><b>RESULTS: </b>A total of 49,230 participants with T2D were included in the analyses (31,118 European ancestries and 18,112 non-European ancestries) which consisted of 8,956 incident CVD cases over a range of mean follow-up duration between 3.2 and 33.7 years (event rate 18.2%). We identified three novel, distinct genetic loci for incident CVD among individuals with T2D that reached the threshold for genome-wide significance ( <5.0×10 ): rs147138607 (intergenic variant between and ) with a hazard ratio (HR) 1.23, 95% confidence interval (CI) 1.15 - 1.32, =3.6×10 , rs11444867 (intergenic variant near ) with HR 1.89, 95% CI 1.52 - 2.35, =9.9×10 , and rs335407 (intergenic variant between and ) HR 1.25, 95% CI 1.16 - 1.35, =1.5×10 . Among 204 known CAD loci, 32 were associated with incident CVD in people with T2D with <0.05, and 5 were significant after Bonferroni correction ( <0.00024, 0.05/204). A polygenic score of these 204 variants was significantly associated with incident CVD with HR 1.14 (95% CI 1.12 - 1.16) per 1 standard deviation increase ( =1.0×10 ).</p><p><b>CONCLUSIONS: </b>The data point to novel and known genomic regions associated with incident CVD among individuals with T2D.</p><p><b>CLINICAL PERSPECTIVE: </b> We conducted a large-scale multi-ancestry time-to-event GWAS to identify genetic variants associated with CVD among people with T2D. Three variants were significantly associated with incident CVD in people with T2D: rs147138607 (intergenic variant between and ), rs11444867 (intergenic variant near ), and rs335407 (intergenic variant between and ). A polygenic score composed of known CAD variants identified in the general population was significantly associated with the risk of CVD in people with T2D. There are genetic risk factors specific to T2D that could at least partially explain the excess risk of CVD in people with T2D.In addition, we show that people with T2D have enrichment of known CAD association signals which could also explain the excess risk of CVD.</p>
DOI10.1101/2023.07.25.23293180
Alternate JournalmedRxiv
PubMed ID37546893
PubMed Central IDPMC10402212
Grant List75N92021D00005 / WH / WHI NIH HHS / United States
R01 HL087652 / HL / NHLBI NIH HHS / United States
R01 HL159514 / HL / NHLBI NIH HHS / United States
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ePub date: 
23/07