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Time-to-Event Genome-Wide Association Study for Incident Cardiovascular Disease in People With Type 2 Diabetes.
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; Broad Metabolism Program and Program in Medical and 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; Broad Metabolism Program and Program in Medical and 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 Sciences, The Lundquist Institute for Biomedical Innovation, Harbor-UCLA Medical Center, Torrance, CA.
  • Lee S; Department of Pediatrics, Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation, Harbor-UCLA Medical Center, Torrance, CA.
  • Haessler J; Department of Epidemiology, Erasmus MC 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; Broad Metabolism Program and Program in Medical and 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, The University of Alabama at Birmingham, Birmingham, AL.
  • Judy R; Department of Internal Medicine, Sanford Health, Sioux Falls, SD.
  • Schroeder PH; Corporal Michael J. 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; Section of Gerontology and Geriatrics, Department of Internal Medicine, 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 J. Crescenz VA Medical Center and Department of Surgery, Perelman School of Medicine, Philadelphia, PA.
  • Chen YI; Broad Metabolism Program and Program in Medical and 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 MC 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, The 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 Sciences, The Lundquist Institute for Biomedical Innovation, Harbor-UCLA Medical Center, Torrance, CA.
  • Damrauer SM; Department of Pediatrics, Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation, Harbor-UCLA Medical Center, Torrance, CA.
Diabetes Care ; 47(6): 1042-1047, 2024 Jun 01.
Article en En | MEDLINE | ID: mdl-38652672
ABSTRACT

OBJECTIVE:

To identify genetic risk factors for incident cardiovascular disease (CVD) among people with type 2 diabetes (T2D). RESEARCH DESIGN AND

METHODS:

We conducted a multiancestry time-to-event genome-wide association study for incident CVD among people with T2D. We also tested 204 known coronary artery disease (CAD) variants for association with incident CVD.

RESULTS:

Among 49,230 participants with T2D, 8,956 had incident CVD events (event rate 18.2%). We identified three novel genetic loci for incident CVD rs147138607 (near CACNA1E/ZNF648, hazard ratio [HR] 1.23, P = 3.6 × 10-9), rs77142250 (near HS3ST1, HR 1.89, P = 9.9 × 10-9), and rs335407 (near TFB1M/NOX3, HR 1.25, P = 1.5 × 10-8). Among 204 known CAD loci, 5 were associated with incident CVD in T2D (multiple comparison-adjusted P < 0.00024, 0.05/204). A standardized polygenic score of these 204 variants was associated with incident CVD with HR 1.14 (P = 1.0 × 10-16).

CONCLUSIONS:

The data point to novel and known genomic regions associated with incident CVD among individuals with T2D.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedades Cardiovasculares / Diabetes Mellitus Tipo 2 / Estudio de Asociación del Genoma Completo Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Año: 2024 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedades Cardiovasculares / Diabetes Mellitus Tipo 2 / Estudio de Asociación del Genoma Completo Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Año: 2024 Tipo del documento: Article