AGPAT3 and coronary artery disorder: Finally, 5 biomarker genes (SCP2, TNFAIP8, HMGCR, AGPAT3, and MAPKAPK2) were selected from the key genes by implementing 4 machine learning algorithms, and the developed nomogram incorporating these biomarkers demonstrated superior predictive accuracy for CAD risk stratification.