Your browser doesn't support javascript.
loading
Large-scale genome-wide association study of coronary artery disease in genetically diverse populations.
Tcheandjieu, Catherine; Zhu, Xiang; Hilliard, Austin T; Clarke, Shoa L; Napolioni, Valerio; Ma, Shining; Lee, Kyung Min; Fang, Huaying; Chen, Fei; Lu, Yingchang; Tsao, Noah L; Raghavan, Sridharan; Koyama, Satoshi; Gorman, Bryan R; Vujkovic, Marijana; Klarin, Derek; Levin, Michael G; Sinnott-Armstrong, Nasa; Wojcik, Genevieve L; Plomondon, Mary E; Maddox, Thomas M; Waldo, Stephen W; Bick, Alexander G; Pyarajan, Saiju; Huang, Jie; Song, Rebecca; Ho, Yuk-Lam; Buyske, Steven; Kooperberg, Charles; Haessler, Jeffrey; Loos, Ruth J F; Do, Ron; Verbanck, Marie; Chaudhary, Kumardeep; North, Kari E; Avery, Christy L; Graff, Mariaelisa; Haiman, Christopher A; Le Marchand, Loïc; Wilkens, Lynne R; Bis, Joshua C; Leonard, Hampton; Shen, Botong; Lange, Leslie A; Giri, Ayush; Dikilitas, Ozan; Kullo, Iftikhar J; Stanaway, Ian B; Jarvik, Gail P; Gordon, Adam S.
Afiliación
  • Tcheandjieu C; VA Palo Alto Health Care System, Palo Alto, CA, USA. catherine.tcheandjieu@gladstone.ucsf.edu.
  • Zhu X; Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA. catherine.tcheandjieu@gladstone.ucsf.edu.
  • Hilliard AT; Gladstone Institute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, CA, USA. catherine.tcheandjieu@gladstone.ucsf.edu.
  • Clarke SL; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA. catherine.tcheandjieu@gladstone.ucsf.edu.
  • Napolioni V; VA Palo Alto Health Care System, Palo Alto, CA, USA.
  • Ma S; Department of Statistics, Stanford University, Stanford, CA, USA.
  • Lee KM; Department of Statistics, The Pennsylvania State University, University Park, PA, USA.
  • Fang H; Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, USA.
  • Chen F; VA Palo Alto Health Care System, Palo Alto, CA, USA.
  • Lu Y; VA Palo Alto Health Care System, Palo Alto, CA, USA.
  • Tsao NL; Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
  • Raghavan S; School of Biosciences and Veterinary Medicine, University of Camerino, Camerino, Italy.
  • Koyama S; Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.
  • Gorman BR; Department of Statistics, Stanford University, Stanford, CA, USA.
  • Vujkovic M; VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT, USA.
  • Klarin D; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
  • Levin MG; Department of Preventive Medicine, Center for Genetic Epidemiology, University of Southern California, Los Angeles, CA, USA.
  • Sinnott-Armstrong N; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Wojcik GL; Department of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
  • Plomondon ME; Medicine Service, VA Eastern Colorado Health Care System, Aurora, CO, USA.
  • Maddox TM; Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Waldo SW; Laboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan.
  • Bick AG; VA Boston Healthcare System, Boston, MA, USA.
  • Pyarajan S; Booz Allen Hamilton, McLean, VA, USA.
  • Huang J; Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA.
  • Song R; Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
  • Ho YL; VA Palo Alto Health Care System, Palo Alto, CA, USA.
  • Buyske S; VA Boston Healthcare System, Boston, MA, USA.
  • Kooperberg C; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
  • Haessler J; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Loos RJF; Division of Vascular Surgery and Endovascular Therapy, University of Florida School of Medicine, Gainesville, FL, USA.
  • Do R; Stanford University School of Medicine, Stanford, CA, USA.
  • Verbanck M; Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA.
  • Chaudhary K; Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
  • North KE; VA Palo Alto Health Care System, Palo Alto, CA, USA.
  • Avery CL; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
  • Graff M; Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
  • Haiman CA; Department of Medicine, Rocky Mountain Regional VA Medical Center, Aurora, CO, USA.
  • Le Marchand L; CART Program, VHA Office of Quality and Patient Safety, Washington, DC, USA.
  • Wilkens LR; Healthcare Innovation Lab, JC HealthCare/Washington University School of Medicine, St Louis, MO, USA.
  • Bis JC; Division of Cardiology, Washington University School of Medicine, St Louis, MO, USA.
  • Leonard H; Department of Medicine, Rocky Mountain Regional VA Medical Center, Aurora, CO, USA.
  • Shen B; CART Program, VHA Office of Quality and Patient Safety, Washington, DC, USA.
  • Lange LA; Division of Cardiology, University of Colorado School of Medicine, Aurora, CO, USA.
  • Giri A; Department of Biomedical Informatics, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Dikilitas O; VA Boston Healthcare System, Boston, MA, USA.
  • Kullo IJ; Department of Medicine, Brigham Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Stanaway IB; VA Boston Healthcare System, Boston, MA, USA.
  • Jarvik GP; Department of Global Health, Peking University School of Public Health, Beijing, China.
  • Gordon AS; School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China.
Nat Med ; 28(8): 1679-1692, 2022 08.
Article en En | MEDLINE | ID: mdl-35915156
ABSTRACT
We report a genome-wide association study (GWAS) of coronary artery disease (CAD) incorporating nearly a quarter of a million cases, in which existing studies are integrated with data from cohorts of white, Black and Hispanic individuals from the Million Veteran Program. We document near equivalent heritability of CAD across multiple ancestral groups, identify 95 novel loci, including nine on the X chromosome, detect eight loci of genome-wide significance in Black and Hispanic individuals, and demonstrate that two common haplotypes at the 9p21 locus are responsible for risk stratification in all populations except those of African origin, in which these haplotypes are virtually absent. Moreover, in the largest GWAS for angiographically derived coronary atherosclerosis performed to date, we find 15 loci of genome-wide significance that robustly overlap with established loci for clinical CAD. Phenome-wide association analyses of novel loci and polygenic risk scores (PRSs) augment signals related to insulin resistance, extend pleiotropic associations of these loci to include smoking and family history, and precisely document the markedly reduced transferability of existing PRSs to Black individuals. Downstream integrative analyses reinforce the critical roles of vascular endothelial, fibroblast, and smooth muscle cells in CAD susceptibility, but also point to a shared biology between atherosclerosis and oncogenesis. This study highlights the value of diverse populations in further characterizing the genetic architecture of CAD.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de la Arteria Coronaria / Estudio de Asociación del Genoma Completo Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Nat Med Asunto de la revista: BIOLOGIA MOLECULAR / MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de la Arteria Coronaria / Estudio de Asociación del Genoma Completo Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Nat Med Asunto de la revista: BIOLOGIA MOLECULAR / MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
...