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CARDIoGRAM study to expand knowledge on the role of genetic variation in CAD
Preuss M. Circ Cardiovasc Genet. 2010;doi:10.1161/CIRCGENETICS.109.899443.
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A documented increase in risk for MI of more than 25% in three single nucleotide polymorphisms is leading researchers to conduct CARDIoGRAM, the largest published individual coronary artery disease genome-wide association study, according to a recent proof-of-principal analysis published online by Circulation: Cardiovascular Genetics.
The Coronary Artery Disease Genome-Wide Replication and Meta-Analysis (CARDIoGRAM) study is a genome-wide association meta-analysis of individuals with European ancestry, involving more than 22,000 cases with CAD and/or MI and 60,000 controls. All genotyping was performed on Affymetrix or Illumina platforms followed by imputation of genotypes in most studies.
According to data presented in their analysis, there was a strong association between CAD and the single nucleotide polymorphisms rs1333049 (OR=1.29; 95% CI, 1.22-1.36), rs2383206 (OR=1.28; 95% CI, 1.22-1.35), rs10757278 (OR=1.28; 95% CI, 1.21-1.35), but no association with rs10811661 (OR=1.02; 95% CI, 0.98-1.05).
Collectively, the consortium will enhance the statistical power to association by increasing the sample size by a factor of 10 for cases and 20 for controls, the researchers commented in their analysis.
“These larger samples are likely to substantially enhance the detection of true associations for CAD risk. Furthermore, we have prepared for a substantial replication phase and defined hierarchical levels of evidence a priori to help attach an appropriate level of confidence to our various findings as they emerge,” they added.
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