WEDNESDAY, Oct. 6 (HealthDay News) -- A meta-analysis of currently available genome-wide association studies (GWAS) has confirmed the identification of genetic variants associated with myocardial infarction (MI) and other forms of coronary artery disease (CAD) in a proof-of-principle study published online Oct. 5 in Circulation: Cardiovascular Genetics.
In the Coronary ARtery DIsease Genome-wide Replication And Meta-Analysis (CARDIoGRAM) study, Michael Preuss, of the Universität zu Lübeck in Germany, and colleagues combined data from all published and several unpublished GWAS in individuals with European ancestry, including more than 22,000 cases with CAD and/or MI and more than 60,000 controls.
On average, 2.2 million single nucleotide polymorphisms (SNPs) were generated per study. A meta-analysis of risk variants at 9p21 revealed that rs1333049 conferred a 29 percent increase in risk for MI per copy. In addition, the investigators found a strong association between the SNPs rs1333049, rs2383206, rs10757278 and CAD, but no evidence of association for rs10811661.
"CARDIoGRAM is poised to contribute to our understanding of the role of common genetic variation on risk for CAD and MI," the authors write.
Studies included in the meta-analysis were sponsored by pharmaceutical and medical device companies. Genotyping of PennCATH and Medstar was supported by GlaxoSmithKline; three study authors are employees of GlaxoSmithKline.
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