Preuss, Michael and Koenig, Inke R. and Thompson, John R. and Erdmann, Jeanette and Absher, Devin and Assimes, Themistocles L. and Blankenberg, Stefan and Boerwinkle, Eric and Chen, Li and Cupples, L. Adrienne and Hall, Alistair S. and Halperin, Eran and Hengstenberg, Christian and Holm, Hilma and Laaksonen, Reijo and Li, Mingyao and Maerz, Winfried and McPherson, Ruth and Musunuru, Kiran and Nelson, Christopher P. and Burnett, Mary Susan and Epstein, Stephen E. and O'Donnell, Christopher J. and Quertermous, Thomas and Rader, Daniel J. and Roberts, Robert and Schillert, Arne and Stefansson, Kari and Stewart, Alexandre F. R. and Thorleifsson, Gudmar and Voight, Benjamin F. and Wells, George A. and Ziegler, Andreas and Kathiresan, Sekar and Reilly, Muredach P. and Samani, Nilesh J. and Schunkert, Heribert (2010) Design of the Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Study A Genome-Wide Association Meta-analysis Involving More Than 22 000 Cases and 60 000 Controls. CIRCULATION-CARDIOVASCULAR GENETICS, 3 (5). 475-U186. ISSN 1942-325X, 1942-3268
Full text not available from this repository. (Request a copy)Abstract
Background-Recent genome-wide association studies (GWAS) of myocardial infarction (MI) and other forms of coronary artery disease (CAD) have led to the discovery of at least 13 genetic loci. In addition to the effect size, power to detect associations is largely driven by sample size. Therefore, to maximize the chance of finding novel susceptibility loci for CAD and MI, the Coronary ARtery DIsease Genome-wide Replication And Meta-analysis (CARDIoGRAM) consortium was formed. Methods and Results-CARDIoGRAM combines data from all published and several unpublished GWAS in individuals with European ancestry; includes >22 000 cases with CAD, MI, or both and >60 000 controls; and unifies samples from the Atherosclerotic Disease VAscular functioN and genetiC Epidemiology study, CADomics, Cohorts for Heart and Aging Research in Genomic Epidemiology, deCODE, the German Myocardial Infarction Family Studies I, II, and III, Ludwigshafen Risk and Cardiovascular Heath Study/AtheroRemo, MedStar, Myocardial Infarction Genetics Consortium, Ottawa Heart Genomics Study, PennCath, and the Wellcome Trust Case Control Consortium. Genotyping was carried out on Affymetrix or Illumina platforms followed by imputation of genotypes in most studies. On average, 2.2 million single nucleotide polymorphisms were generated per study. The results from each study are combined using meta-analysis. As proof of principle, we meta-analyzed risk variants at 9p21 and found that rs1333049 confers a 29% increase in risk for MI per copy (P=2x10(-20)). Conclusion-CARDIoGRAM is poised to contribute to our understanding of the role of common genetic variation on risk for CAD and MI. (Circ Cardiovasc Genet. 2010;3:475-483.)
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | MYOCARDIAL-INFARCTION; SUSCEPTIBILITY LOCUS; VARIANT; ATHEROSCLEROSIS; HEART; 9P21; RISK; coronary artery disease; myocardial infarction; meta-analysis; genetics |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Lehrstuhl für Innere Medizin II |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 08 Jul 2020 11:42 |
| Last Modified: | 08 Jul 2020 11:42 |
| URI: | https://pred.uni-regensburg.de/id/eprint/24050 |
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