Links
- ORCID
- ORCID
- ORCID
- ORCID
- Crossref
- [www.ncbi.nlm.nih.gov] | PDF
- [mediatum.ub.tum.de] | PDF
- [push-zb.helmholtz-muenchen.de]
- [espace.library.uq.edu.au]
- [espace.library.uq.edu.au]
- [www.researchgate.net] | PDF
- [www.ncbi.nlm.nih.gov] | PDF
- [www.ncbi.nlm.nih.gov] | PDF
- [www.nejm.org] | PDF
- [espace.library.uq.edu.au] | PDF
- [lra.le.ac.uk] | PDF
- [europepmc.org] | PDF
Tools
Genomewide Association Analysis of Coronary Artery Disease
,
Inke R. König,
Suzanne E. Stevens,
Silke Szymczak
and other authors.
Abstract
Background - Modern genotyping platforms permit a systematic search for inherited components of complex diseases. We performed a joint analysis of two genomewide association studies of coronary artery disease. Methods - We first identified chromosomal loci that were strongly associated with coronary artery disease in the Wellcome Trust Case Control Consortium (WTCCC) study (which involved 1926 case subjects with coronary artery disease and 2938 controls) and looked for replication in the German MI [Myocardial Infarction] Family Study (which involved 875 case subjects with myocardial infarction and 1644 controls). Data on other single-nucleotide polymorphisms (SNPs) that were significantly associated with coronary artery disease in either study (P80%) of a true association: chromosomes 1p13.3 (rs599839), 1q41 (rs17465637), 10q11.21 (rs501120), and 15q22.33 (rs17228212). Conclusions - We identified several genetic loci that, individually and in aggregate, substantially affect the risk of development of coronary artery disease. ; This paper was published as New England Journal of Medicine, 2007, 357 (5), pp. 443-453. Copyright © 2007 Massachusetts Medical Society. It is available from http://content.nejm.org/cgi/content/abstract/357/5/443. Doi: 10.1056/NEJMoa072366 ; Metadata only entry