This study leverages an integrative approach, employing expression quantitative trait loci (eQTL) data from genome-wide association studies (GWAS) and the Gene Expression Omnibus (GEO) database analyzed through advanced R software and machine learning algorithms, to dissect the role of AGPAT4 in endometriosis. This evidence concerns the gene AGPAT4 and endometriosis.