Researchers use multi-ancestry comparison to refine risk factors for coronary artery disease

Researchers have used a combination of genome-wide association analysis -- or GWAS -- and a trans-ancestry comparison of different GWAS studies, to come up with a more accurate predictor of coronary artery disease based on genetic factors.