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ABSTRACT: Background
Urologic tumors are among the most common malignancies worldwide, and the association between chronic infections and the risk of developing these tumors has garnered significant attention. However, traditional observational studies are prone to confounding factors, making it challenging to establish a clear causal relationship.Method
This study employs a two-sample bidirectional Mendelian randomization analysis, utilizing genetic data on antibody levels and urologic tumors obtained from GWAS databases. The inverse variance weighted (IVW) method was used to estimate causal relationships, while MR-Egger and MR-PRESSO methods were applied for sensitivity analyses to assess horizontal pleiotropy and heterogeneity.Result
The results showed that antibody levels
SUBMITTER: Wang C
PROVIDER: S-EPMC12122962 | biostudies-literature | 2025 May
REPOSITORIES: biostudies-literature