In the discovery stage, the Sherlock Bayesian analysis identified 634 genes to be significantly associated with CAD (Geneset #1, simulated P < .05; Supplemental Table S1); for example, GSDML (simulated P value = 1.43 × 10−4), PAN3 (simulated P value = 1.43 × 10−4), PSMC2 (simulated P value = 2.22 × 10−4), FUBP3 (simulated P value = 3.80 × 10−4), and SCML2 (simulated P value = 4.58 × 10−4). This evidence concerns the gene FUBP3 and coronary artery disorder.