Relationship Between the Ovarian Cyst and Depression: A Two-Sample Mendelian Randomization Study

Abstract

Objective: Explore the causal relationship between the ovarian cyst and depression using a two-sample Mendelian randomization approach (MR). Methods: Based on data pooled from genome-wide association studies, genetic variants of the ovarian cyst and depression were selected as instrumental variables, as well as the Mendelian randomization analysis was conducted using inverse variance weighted (IVW) as the main analysis method and MR-Egger regression analysis, MR-PRESSO and other sensitivity analysis methods as supplements. Results: The IVW analysis showed a direct causal association between ovarian cysts and depression (OR=1.040; 95% CI: 1.003, 1.078; p=0.031). Meantime, there was a causal effect of genetically predicted depression on ovarian cysts (OR=1.327.; 95% CI: 1.197, 1.470; p<0.001). Sensitivity analyses such as MR-Egger regression analysis and MR-PRESSO indicated that the IVW results were robust and reliable. Conclusion: This study suggested since ovarian cysts and female depression are mutually causal, the comorbidity of ovarian cysts and depression in women should be actively attended to and given appropriate prevention and treatment besides the diagnosis and treatment of depression or ovarian cysts.