MRdb: a comprehensive database of univariate and multivariate Mendelian randomization with large-scale GWAS summary data.

ABSTRACT: Recent advancements highlight the importance of large-scale causal inference in elucidating disease mechanisms and guiding public health strategies. Mendelian randomization (MR) has become a cornerstone method for identifying causal relationships by leveraging genetic variants as instrumental variables. However, existing tools lack flexibility for multivariable analyses and fail to integrate diverse datasets effectively. To address these challenges, we introduce MRdb, a comprehensive database designed for conducting both univariable and multivariable MR analyses. MRdb encompasses 12 distinct categories of exposure data, including but not limited to 19 126 expression quantitative trait loci genes, 4907 plasma proteins, and 1400 plasma metabolites. Additionally, it integrates 48 507 disease

SUBMITTER: Liu Q 

PROVIDER: S-EPMC12462376 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature