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