Causal association between metabolic syndrome and ovarian dysfunction: a bidirectional two-sample mendelian randomization.

ABSTRACT:

Background

The relationship between Metabolic Syndrome (MetS) and ovarian dysfunction has been widely reported in observational studies, yet it remains not fully understood. This study employs genetic prediction methods and utilizes summary data from genome-wide association studies (GWAS) to investigate this causal link.

Methods

We employed a bidirectional two-sample Mendelian Randomization (MR) analysis utilizing MetS and ovarian dysfunction summary data from GWAS. Inverse variance weighted (IVW) was employed as the primary MR method, supplemented by Weighted Median, Weighted Mode, and MR-Egger methods. The robustness of the results was further assessed through sensitivity analyses including MR-Egger regression, MR-PRESSO, Cochran's Q, and leave-one-out test.

Results

SUBMITTER: He Y 

PROVIDER: S-EPMC11895234 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature