Multi-omic biomarkers associated with multiple sclerosis: from Mendelian randomization to drug prediction.

ABSTRACT: Currently, the treatment and prevention of multiple sclerosis (MS) continue to encounter significant challenges. Mendelian randomization (MR) analysis has emerged as a crucial research method in the pursuit of new therapeutic strategies. Accordingly, we hypothesize that there exists a causal association between genetic variants of specific plasma proteins and MS through MR mechanisms, and that key therapeutic targets can be precisely identified by integrating multi-omics analytical approaches. In this study, we developed a comprehensive analytical framework aimed at identifying and validating potential therapeutic targets for MS. The framework commenced with a two-sample Mendelian randomization (MR) study utilizing two large plasma protein quantitative trait locus (pQTL) datasets. Building

SUBMITTER: Yang W 

PROVIDER: S-EPMC11923301 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature