Multi-ancestry comparison can accurately predict risk factors for coronary artery disease
An international group led by researchers from the RIKEN Center for Integrative Medical Sciences 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.
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