Multi-omics data reveal causal associations of cellular senescence-related genes in rheumatoid arthritis: A summary-data-based Mendelian randomization and co-localization analysis.

ABSTRACT: Rheumatoid arthritis (RA) is a complex autoimmune disease. Recently, cell senescence has been identified as a key factor in its pathogenesis. This study integrated multi-omics summary data and applied Mendelian randomization (MR) and co-localization analysis to systematically evaluate the causal relationships between cell senescence-related genes and RA. We collected summary data on blood methylation quantitative trait loci (mQTL), expression quantitative trait loci, and protein quantitative trait loci. The FinnGen database was the primary discovery dataset, validated by the UK Biobank and GWAS Catalog. We used the summary-data-based MR method to assess causal associations between the molecular traits of cell senescence-related genes and RA. Co-localization analysis was then performed to c

SUBMITTER: Jiang P 

PROVIDER: S-EPMC12863820 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature