Decoding rheumatoid arthritis: Biomarker identification and immune profiling via bioinformatics and Mendelian randomization.

ABSTRACT: Rheumatoid arthritis (RA) is a prevalent autoimmune disorder that significantly reduces quality of life and imposes a substantial burden on society. This study addresses the critical gaps in current diagnostic and therapeutic modalities by aiming to identify improved biomarkers and potential therapeutic targets. Using data from 2 gene expression omnibus databases, we executed a comprehensive differential gene expression analysis integrated with Mendelian randomization. This approach employed advanced bioinformatics tools to scrutinize expression quantitative trait loci (eQTLs) and RA genome-wide association study data to pinpoint crucial genes involved in RA. The selection of these pivotal genes was strategically based on the intersection of upregulated gene expressions with eQTLs exhibiti

SUBMITTER: Shao S 

PROVIDER: S-EPMC12385112 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature