Background: Coronary artery disease (CAD) risk traditionally has been assessed using clinical risk factors. We evaluated whether molecular genetic markers for CAD risk could add information to traditional variables.
Methods: We developed a false discovery rate 267-marker genetic risk score (FDR) from markers that were significantly associated with CAD in the UK Biobank cohort meta-analysis.