In this research, we employed a holistic approach, integrating bioinformatics analysis with GWAS data mining, to identify 8 genes: AMFR, LAP3, RABAC1, TPSB2, G3BP2, ITGB2, QPCT, and TRIM22—implicated in AF's etiology. Here, QPCT is linked to atrial fibrillation.