BioWinfordMR: An Online Platform for Comprehensive Mendelian Randomization Analysis

Abstract

Background Mendelian randomization has become a tool for quickly and accurately identifying genetic relationships between phenotypes. It has played an important role in identifying disease-related risk factors, drug targets, and other fields. However, large amounts of GWAS data often come from different platforms, with inconsistent formats, missing data, and difficulties in downloading large files. Therefore, we developed the BioWinfordMR platform, a platform that integrates curated GWAS data from multiple categories using the shiny server to automate Mendelian randomization analysis. Results We used the BioWinfordMR platform to infer causality between sepsis, intestinal microbiota, and immune cells. Through systematic analysis, we ultimately found that CD62L- CD86 + myeloid DCs are key intermediate factors that increase the risk of sepsis with enhanced gut microbiota. We also further identified two risk genes, ENTPD5 and MANEA, associated with sepsis. Conclusions We developed a platform named BioWinfordMR to facilitate various types of Mendelian randomization analyses. The BioWinfordMR currently comprises 3792 curated GWASs and is updated regularly. BioWinfordMR ensures the accuracy and reproducibility of Mendelian randomization analysis and allows potential causal relationships to be discovered.