Genetic variants at CD28, PRDM1 and CD2/CD58 are associated with rheumatoid arthritis risk

Top Cited Papers
Open Access
Publisher Website
Google Scholar
Abstract
Soumya Raychaudhuri and colleagues demonstrate the utility of GRAIL, a software program used to prioritize results from genome-wide association studies for further replication, applied here to rheumatoid arthritis. The authors seek replication of their predictions in additional independent cohorts and report three new genetic loci associated with RA susceptibility. To discover new rheumatoid arthritis (RA) risk loci, we systematically examined 370 SNPs from 179 independent loci with P < 0.001 in a published meta-analysis of RA genome-wide association studies (GWAS) of 3,393 cases and 12,462 controls1. We used Gene Relationships Across Implicated Loci (GRAIL)2, a computational method that applies statistical text mining to PubMed abstracts, to score these 179 loci for functional relationships to genes in 16 established RA disease loci1,3,4,5,6,7,8,9,10,11. We identified 22 loci with a significant degree of functional connectivity. We genotyped 22 representative SNPs in an independent set of 7,957 cases and 11,958 matched controls. Three were convincingly validated: CD2-CD58 (rs11586238, P = 1 × 10−6 replication, P = 1 × 10−9 overall), CD28 (rs1980422, P = 5 × 10−6 replication, P = 1 × 10−9 overall) and PRDM1 (rs548234, P = 1 × 10−5 replication, P = 2 × 10−8 overall). An additional four were replicated (P < 0.0023): TAGAP (rs394581, P = 0.0002 replication, P = 4 × 10−7 overall), PTPRC (rs10919563, P = 0.0003 replication, P = 7 × 10−7 overall), TRAF6-RAG1 (rs540386, P = 0.0008 replication, P = 4 × 10−6 overall) and FCGR2A (rs12746613, P = 0.0022 replication, P = 2 × 10−5 overall). Many of these loci are also associated to other immunologic diseases.