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Updated: May 20, 2026

Evaluation of Hepatic Glucose Production in a Polycystic Ovary Syndrome Mouse Model
Published on: March 5, 2022
Bidirectional Mendelian randomization study reveals no causal association between polycystic ovary syndrome and IgA
Xia Wang1, Rui Zhang2, Weiyi Chai3
1Department of Pharmacy, The Second Affiliated Hospital of Jianghan University, Wuhan, Hubei Province, China.
Abstract:
The incidence of IgA nephropathy (IgAN) is increasing, and some observational studies reported the potential correlation of polycystic ovary syndrome (PCOS) with the risk of IgAN. We performed a bidirectional Mendelian randomization analysis to determine the causal relationship between PCOS and IgAN. Single nucleotide polymorphisms (SNPs) associated with PCOS were acquired from 2 genome-wide association studies (GWAS) (Finngen_R9 dataset: 1424 PCOS cases, 392,423 controls; PCOS summary statistics dataset: 10,074 PCOS cases, 103,164 controls). The outcome was defined as IgAN, based on the ebi-a-GCST90018866 dataset (15,587 IgAN cases and 462,197 healthy controls). Inverse-variance weighted (IVW), sensitivity, and reverse Mendelian randomization analyses were conducted to determine causal relationships between PCOS and IgAN. The FinnGen database identified 3 qualified SNPs, and showed no significant association between PCOS and IgAN, as revealed by the IVW method [odds ratio (OR) = 1.4405, 95% confidence interval (CI):0.9907-2.0939, P = .05581]. The PCOS summary statistics dataset identified 8 qualified SNPs, and the results showed no significant association between PCOS and IgAN, as revealed by the IVW method (OR = 1.1187, 95% CI:0.5448-2.2972, P = .75988). Evidence from the reverse Mendelian randomization indicated that IgAN did not increase the risk of PCOS in the FinnGen database (IVW: OR = 1.0473, 95% CI:0.9871-1.1112, P = .1253) and PCOS summary statistics (IVW: OR = 1.021, 95% CI:0.9861-1.0572, P = .24157). Bidirectional Mendelian randomization analysis did not provide evidence supporting a causal relationship between PCOS and IgAN. However, the limited number of instrumental SNPs may constrain the statistical power to detect modest effects, and further studies are needed to explore this association.
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