Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
Preuss, M; Konig, IR; Thompson, JR; Erdmann, J; Absher, D; Assimes, TL; Blankenberg, S; Boerwinkle, E; Chen, L; Cupples, LA; Hall, AS; Halperin, E; Hengstenberg, C; Holm, H; Laaksonen, R; Li, MY; Marz, W; McPherson, R; Musunuru, K; Nelson, CP; Burnett, MS; Epstein, SE; O'Donnell, CJ; Quertermous, T; Rader, DJ; Roberts, R; Schillert, A; Stefansson, K; Stewart, AFR; Thorleifsson, G; Voight, BF; Wells, GA; Ziegler, A; Kathiresan, S; Reilly, MP; Samani, NJ; Schunkert, H.
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.
Circ Cardiovasc Genet. 2010; 3(5):475-483
Doi: 10.1161/CIRCGENETICS.109.899443
[OPEN ACCESS]
Web of Science
PubMed
FullText
FullText_MUG
Google Scholar
- Co-Autor*innen der Med Uni Graz
- März Winfried
- Altmetrics:
- Dimensions Citations:
- Plum Analytics:
- Scite (citation analytics):
- 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 Methods and Results-CARDIoGRAM combines data from all published and several unpublished GWAS in individuals with European ancestry; includes 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.)
- Find related publications in this database (using NLM MeSH Indexing)
- Adult -
- Aged -
- Algorithms -
- Coronary Artery Disease - genetics
- Female -
- Genetic Predisposition to Disease -
- Genome-Wide Association Study -
- Genotype -
- Humans -
- Male -
- Middle Aged -
- Myocardial Infarction - genetics
- Polymorphism, Single Nucleotide -
- Research Design -
- Find related publications in this database (Keywords)
- coronary artery disease
- myocardial infarction
- meta-analysis
- genetics