Academic Editor: Michael H. Dahan
This is an open access article under the CC BY 4.0 license.
Background: Evidence from observation studies has implied an
association between polycystic ovary syndrome (PCOS) and risk of depression.
Nevertheless, it remains elusive if the identified correlation is causal or owing
to biases in observation researches. Hence, we utilized a bidirectional
two-sample Mendelian randomization (MR) method to evaluate the potential causal
relationship between PCOS and depression. Methods: Genetic instruments
for PCOS and depression were acquired from two large genome-wide association
studies (GWASs). MR analyses were completed via the inverse-variance weighted
(IVW) method and weighted median approaches. The underlying pleiotropy was tested
by MR-Egger regression, and leave-one-out method was used to evaluate the
stability of MR results. Results: Using the IVW analyses (odds ratio
(OR) = 1.07, 95% confidence interval (CI) = 1.01–1.06, p