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Time-to-Event Genome-Wide Association Study for Incident Cardiovascular Disease in People with Type 2 Diabetes Mellitus.
Kwak, Soo Heon; Hernandez-Cancela, Ryan B; DiCorpo, Daniel A; Condon, David E; Merino, Jordi; Wu, Peitao; Brody, Jennifer A; Yao, Jie; Guo, Xiuqing; Ahmadizar, Fariba; Meyer, Mariah; Sincan, Murat; Mercader, Josep M; Lee, Sujin; Haessler, Jeffrey; Vy, Ha My T; Lin, Zhaotong; Armstrong, Nicole D; Gu, Shaopeng; Tsao, Noah L; Lange, Leslie A; Wang, Ningyuan; Wiggins, Kerri L; Trompet, Stella; Liu, Simin; Loos, Ruth J F; Judy, Renae; Schroeder, Philip H; Hasbani, Natalie R; Bos, Maxime M; Morrison, Alanna C; Jackson, Rebecca D; Reiner, Alexander P; Manson, JoAnn E; Chaudhary, Ninad S; Carmichael, Lynn K; Chen, Yii-Der Ida; Taylor, Kent D; Ghanbari, Mohsen; van Meurs, Joyce; Pitsillides, Achilleas N; Psaty, Bruce M; Noordam, Raymond; Do, Ron; Park, Kyong Soo; Jukema, J Wouter; Kavousi, Maryam; Correa, Adolfo; Rich, Stephen S; Damrauer, Scott M.
Afiliación
  • Kwak SH; Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
  • Hernandez-Cancela RB; Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA.
  • DiCorpo DA; Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA.
  • Condon DE; Department of Biostatistics, Boston University School of Public Health, Boston, MA.
  • Merino J; Department of Biostatistics, Boston University School of Public Health, Boston, MA.
  • Wu P; Sanford Imagenetics, Sanford Health, Sioux Falls, SD.
  • Brody JA; Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA.
  • Yao J; Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA.
  • Guo X; Department of Medicine, Harvard Medical School, Boston, MA.
  • Ahmadizar F; Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark.
  • Meyer M; Department of Biostatistics, Boston University School of Public Health, Boston, MA.
  • Sincan M; Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA.
  • Mercader JM; Department of Pediatrics, Institute for Translational Genomics and Population Science, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA.
  • Lee S; Department of Pediatrics, Institute for Translational Genomics and Population Science, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA.
  • Haessler J; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.
  • Vy HMT; Department of Data Science and Biostatistics, Julius Global Health, University Medical Center Utrecht, Utrecht, the Netherlands.
  • Lin Z; Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO.
  • Armstrong ND; Department of Biostatistics, Boston University School of Public Health, Boston, MA.
  • Gu S; Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA.
  • Tsao NL; Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA.
  • Lange LA; Department of Medicine, Harvard Medical School, Boston, MA.
  • Wang N; Division of Vascular Surgery and Endovascular Therapy, Massachusetts General Hospital, Boston, MA.
  • Wiggins KL; Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA.
  • Trompet S; Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY.
  • Liu S; Department of Biostatistics, University of Minnesota, Minneapolis, MN.
  • Loos RJF; Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL.
  • Judy R; Department of Internal Medicine, Sanford Health, Sioux Falls, SD.
  • Schroeder PH; Corporal Michael Crescenz VA Medical Center, and Department of Surgery, Perelman School of Medicine, Philadelphia, PA.
  • Hasbani NR; Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO.
  • Bos MM; Department of Biostatistics, Boston University School of Public Health, Boston, MA.
  • Morrison AC; Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA.
  • Jackson RD; Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands.
  • Reiner AP; Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands.
  • Manson JE; Department of Epidemiology, Brown University, Providence, RI.
  • Chaudhary NS; Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY.
  • Carmichael LK; Corporal Michael Crescenz VA Medical Center, and Department of Surgery, Perelman School of Medicine, Philadelphia, PA.
  • Chen YI; Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA.
  • Taylor KD; Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA.
  • Ghanbari M; Department of Medicine, Harvard Medical School, Boston, MA.
  • van Meurs J; Human Genetics Center, Department of Epidemiology Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX.
  • Pitsillides AN; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.
  • Psaty BM; Human Genetics Center, Department of Epidemiology Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX.
  • Noordam R; Division of Endocrinology, Diabetes and Metabolism, Department of Internal Medicine, Ohio State University, Columbus, OH.
  • Do R; Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA.
  • Park KS; Department of Epidemiology, University of Washington, Seattle, WA.
  • Jukema JW; Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
  • Kavousi M; Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL.
  • Correa A; Department of Internal Medicine, Sanford Health, Sioux Falls, SD.
  • Rich SS; Department of Pediatrics, Institute for Translational Genomics and Population Science, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA.
  • Damrauer SM; Department of Pediatrics, Institute for Translational Genomics and Population Science, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA.
medRxiv ; 2023 Jul 28.
Article en En | MEDLINE | ID: mdl-37546893
ABSTRACT

BACKGROUND:

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.

METHODS:

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.

RESULTS:

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 (P<5.0×10-8) rs147138607 (intergenic variant between CACNA1E and ZNF648) with a hazard ratio (HR) 1.23, 95% confidence interval (CI) 1.15 - 1.32, P=3.6×10-9, rs11444867 (intergenic variant near HS3ST1) with HR 1.89, 95% CI 1.52 - 2.35, P=9.9×10-9, and rs335407 (intergenic variant between TFB1M and NOX3) HR 1.25, 95% CI 1.16 - 1.35, P=1.5×10-8. Among 204 known CAD loci, 32 were associated with incident CVD in people with T2D with P<0.05, and 5 were significant after Bonferroni correction (P<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 (P=1.0×10-16).

CONCLUSIONS:

The data point to novel and known genomic regions associated with incident CVD among individuals with T2D.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: MedRxiv Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: MedRxiv Año: 2023 Tipo del documento: Article