To identify novel genetic risk factors for rheumatoid arthritis (RA), we conducted a genome-wide association study (GWAS) meta-analysis of 5,539 autoantibody positive RA cases and 20,169 controls of European descent, followed by replication in an independent set of 6,768 RA cases and 8,806 controls. Of 34 SNPs selected for replication, 7 novel RA risk alleles were identified at genome-wide significance (P<5×10−8) in analysis of all 41,282 samples. The associated SNPs are near genes of known immune function, including IL6ST, SPRED2, RBPJ, CCR6, IRF5, and PXK. We also refined the risk alleles at two established RA risk loci (IL2RA and CCL21) and confirmed the association at AFF3. These new associations bring the total number of confirmed RA risk loci to 31 among individuals of European ancestry. An additional 11 SNPs replicated at P<0.05, many of which are validated autoimmune risk alleles, suggesting that most represent bona fide RA risk alleles.

The proteins encoded by the classical HLA class I and class II genes in the major histocompatibility complex (MHC) are highly polymorphic and play an essential role in self/nonself immune recognition. HLA variation is a crucial determinant of transplant rejection and susceptibility to a large number of infectious and autoimmune disease1. Yet identification of causal variants is problematic due to linkage disequilibrium (LD) that extends across multiple HLA and non-HLA genes in the MHC2,3. We therefore set out to characterize the LD patterns between the highly polymorphic HLA genes and background variation by typing the classical HLA genes and >7,500 common single nucleotide polymorphisms (SNPs) and deletion/insertion polymorphisms (DIPs) across four population samples. The analysis provides informative tag SNPs that capture some of the variation in the MHC region and that could be used in initial Corresponding author: John D. Rioux, Montreal Heart Institute, 5000 Rue Bélanger, Montréal, Québec, Canada, H1T 1C8, E-mail: rioux@broad.mit.edu. 16 These authors contributed equally All data will be available at the following sites: http://www.broad.mit.edu/mpg/idrg/projects/hla/ http://www.sanger.ac.uk/HGP/Chr6/ http://www.glovar.org COMPETING FINANCIAL INTEREST STATEMENTThe authors declare that they have no competing financial interests. Numerous studies have demonstrated association between HLA alleles and disease susceptibility (a partial list is provided in Table 1 and Supplementary Table 1), but the interpretation of these results is confounded by the strong correlation between alleles at neighboring HLA and non-HLA genes. Major efforts have therefore been directed at cataloguing the gene and variation content of the entire MHC4-6. In addition, previous studies in European-derived populations have examined the distribution of LD across the region and have suggested that SNPs could help dissect causal variation within the MHC2,3,7-10. Here, we have created a resource to guide future association studies by genotyping genetic variants across the extended MHC region of 7.5 Mb at a higher density and in more DNA samples than previously reported. In 361 individuals of African (YRI), European (CEU), Chinese (CHB), and Japanese (JPT) ancestry, the inferred haplotype structure across the region shows that LD is systematically higher in CEU, CHB and JPT samples than in the YRI sample (Fig. 1). Alleles across the different classical HLA loci demonstrate strong correlation (Supplementary Table 2). These high levels of LD among SNPs and DIPs and among HLA alleles suggest that SNPs outside the HLA genes are informative about HLA types (Fig. 2a), and that a few, well chosen SNPs may capture common classical HLA variation at several loci. Europe PMC Funders GroupWe examined the association between HLA types and single SNPs across the entire region. Fig. 2b shows the results for HLA-C (see Supplementary Fig. 1 for the other HLA genes). In the four populations studied, 34-44% of the HLA alleles present are strongly associa...

Analysis of single nucleotide polymorphisms (SNPs) has been and will be increasingly utilized in various genetic disciplines, particularly in studying genetic determinants of complex diseases. Such studies will be facilitated by rapid, simple, low cost and high throughput methodologies for SNP genotyping. One such method is reported here, named tetra-primer ARMS-PCR, which employs two primer pairs to amplify, respectively, the two different alleles of a SNP in a single PCR reaction. A computer program for designing primers was developed. Tetra-primer ARMS-PCR was combined with microplate array diagonal gel electrophoresis, gaining the advantage of high throughput for gel-based resolution of tetra-primer ARMS-PCR products. The technique was applied to analyse a number of SNPs and the results were completely consistent with those from an independent method, restriction fragment length polymorphism analysis.