Integrative analysis highlighted susceptibility genes for rheumatoid arthritis

Genetic factors underlying susceptibility to rheumatoid arthritis (RA) are largely unknown. The aim of this study was to identify potential genes for RA. We conducted summary statistic data-based Mendelian randomization (SMR) analysis to detect potential causal genes for RA. Further, we performed additional bioinformatics analysis to show the potential relevance of the identified genes to RA. We identified 140 genes that showed causal association with RA. Among these genes, 24 have not been reported to be associated with RA (e.g., IFNAR2, FLOT1, ITPR3, PPP2R3C and SLC35B2). The unreported genes were highly connected with some well-known RA-related genes (e.g., HLA-DQB1, CD226, PTPN22, CD40, IFNGR2, BLK, TRAF1, SYNGR1 and CCR6) that were also found to be causally associated with RA. The identified genes were involved in the significant enriched RA-related biological pathways. We found integrative evidence in support of IFNAR2 as a potential causal gene of RA in SMR, differential expression, weighted gene co-expression network, protein-protein interaction and functional enrichment analyses. The present study highlights a list of potential causal genes for RA. The findings provide new insights into the mechanism underlying known genome-wide associated RA susceptibility loci.