iajabmsIAJABMSIAJABMS2709-3298https://doi.org/10.47310/iajabms.2025.v06i01.017Molecular Genetics and Predictive Analytics in Ovarian Cancer Risk StratificationHasanainAli ShubbarSarahSalih HasanHusseinWahhab RabeeaJabir Ibn Hayyan University for Medical and Pharmaceutical Sciences, Faculty of Medicine, IraqOvarian cancer is among the most fatal gynecologic cancers, posing considerable difficulties with early detection, treatment and overall prognosis. This study aims to assess the correlation between the miR-146a rs2910164 polymorphism and the susceptibility to ovarian cancer in an Iraqi population. A total of 130 individuals were enrolled, categorized into two groups: 60 cases and 70 controls. The CC genotype was the most common, observed in 30 cases (38.5%), which was substantially more than the control group, which included 10 controls (14.3%), resulting in an Odds Ratio (OR) of 6.00 (95% CI: 2.56-14.09, p 0.001). The GG genotype exhibited no statistically significant difference between cases (10 cases, 12.8%) and controls (20 controls, 28.6%), indicating a protective effect. The C allele was notably more prevalent in cases (70 alleles, 44.9%) than in controls (40 alleles, 28.6%), with odds ratios of 3.50 (p<0.001) and 0.29 (P=0.001), respectively. This work contributes to the increasing data indicating that this genetic variation may function as a significant diagnostic biomarker and treatment target.