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Dense genotyping of immune-related disease regions identifies 14 new susceptibility loci for juvenile idiopathic arthritis.

ABSTRACT: We used the Immunochip array to analyze 2,816 individuals with juvenile idiopathic arthritis (JIA), comprising the most common subtypes (oligoarticular and rheumatoid factor-negative polyarticular JIA), and 13,056 controls. We confirmed association of 3 known JIA risk loci (the human leukocyte antigen (HLA) region, PTPN22 and PTPN2) and identified 14 loci reaching genome-wide significance (P < 5 × 10(-8)) for the first time. Eleven additional new regions showed suggestive evidence of association with JIA (P < 1 × 10(-6)). Dense mapping of loci along with bioinformatics analysis refined the associations to one gene in each of eight regions, highlighting crucial pathways, including the interleukin (IL)-2 pathway, in JIA disease pathogenesis. The entire Immunochip content, the HLA region and the top 27 loci (P < 1 × 10(-6)) explain an estimated 18, 13 and 6% of the risk of JIA, respectively. In summary, this is the largest collection of JIA cases investigated so far and provides new insight into the genetic basis of this childhood autoimmune disease.

SUBMITTER: Hinks A

PROVIDER: S-EPMC3673707 | biostudies-literature | 2013 Jun

REPOSITORIES: biostudies-literature

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Dense genotyping of immune-related disease regions identifies 14 new susceptibility loci for juvenile idiopathic arthritis.

Hinks Anne A Cobb Joanna J Marion Miranda C MC Prahalad Sampath S Sudman Marc M Bowes John J Martin Paul P Comeau Mary E ME Sajuthi Satria S Andrews Robert R Brown Milton M Chen Wei-Min WM Concannon Patrick P Deloukas Panos P Edkins Sarah S Eyre Stephen S Gaffney Patrick M PM Guthery Stephen L SL Guthridge Joel M JM Hunt Sarah E SE James Judith A JA Keddache Mehdi M Moser Kathy L KL Nigrovic Peter A PA Onengut-Gumuscu Suna S Onslow Mitchell L ML Rosé Carlos D CD Rich Stephen S SS Steel Kathryn J A KJ Wakeland Edward K EK Wallace Carol A CA Wedderburn Lucy R LR Woo Patricia P Bohnsack John F JF Haas Johannes Peter JP Glass David N DN Langefeld Carl D CD Thomson Wendy W Thompson Susan D SD

Nature genetics 20130421 6

We used the Immunochip array to analyze 2,816 individuals with juvenile idiopathic arthritis (JIA), comprising the most common subtypes (oligoarticular and rheumatoid factor-negative polyarticular JIA), and 13,056 controls. We confirmed association of 3 known JIA risk loci (the human leukocyte antigen (HLA) region, PTPN22 and PTPN2) and identified 14 loci reaching genome-wide significance (P < 5 × 10(-8)) for the first time. Eleven additional new regions showed suggestive evidence of association ...[more]

PMID: 23603761

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Project description:Juvenile idiopathic arthritis (JIA) is an autoimmune disease that is characterized by persistent chronic arthritis and affected by genetic and environmental factors. Different genetic variations have been reported as risk factors for JIA. However, given that many results could not be replicated in individuals of different ancestral origin, it was assumed that heterogeneous genetic factors are involved in this disease. In the present study, we analyzed three single nucleotide polymorphisms (SNPs), namely PTPRC (rs10919563), TYK2 (rs34536443) and PRKCQ (rs4750316), which were found to be associated with JIA in previous studies. We also investigated whether the intron?4 located 27?bp VNTR of endothelial nitric oxide synthase (eNOS), is associated with risk for JIA in Greece. In total, 125 JIA patients and 221 healthy controls from northern Greece were included in the study as a sample set. Samples were then analyzed, and genotyped for the three SNPs with TaqMan primer?probe sets, using a Real?Time PCR platform (ViiA™ 7 Real?Time PCR system), while eNOS VNTR polymorphism was genotyped by PCR. Statistical analysis was performed using a GraphPad Prism statistical program. The ?2 test was used to examine differences of genotype and allele frequencies between patients and controls. Statistical significance was defined by using the two?tailed P<0.05 test. Bioinformatics analysis was conducted by using BlastP, Pymol, Maestro and Desmond. In the case?control association study performed, eNOS only was found to be associated with JIA. Genotype a/a and allele 'a' were found in a higher frequency in JIA patients than in controls [p<0.0001, odds ratio (OR)=0.15, 95% confidence intervals (CI): 0.065?0.37; and p<0.0001, OR=0.34, 95% CI: 0.23?0.49, respectively]. No associations with JIA were detected for TYK2, PTPRC or PRKCQ. Aiming to investigate the structural consequences and the structure/function relationships accompanying the Pro1104 to Ala (rs34536443) mutation on TYK2 protein, bioinformatics analysis was performed. Combining three?dimensional (3D)?modeling and molecular dynamics simulations we identified changes in structural flexibility, affecting the functionality of the kinase domain of TYK2. To the best of our knowledge, this is the first time that eNOS VNTR polymorphism is associated with susceptibility to JIA, suggesting a differential role of allele 'a' in various complex diseases. The current data emphasize the importance of comparative studies in populations of a different ancestral background towards the clarification of the role of specific alleles in the development of JIA.

Project description:OBJECTIVE:Juvenile idiopathic arthritis (JIA) is the most common childhood rheumatic disease and has a strong genomic component. To date, JIA genetic association studies have had limited sample sizes, used heterogeneous patient populations, or included only candidate regions. The aim of this study was to identify new associations between JIA patients with oligoarticular disease and those with IgM rheumatoid factor (RF)-negative polyarticular disease, which are clinically similar and the most prevalent JIA disease subtypes. METHODS:Three cohorts comprising 2,751 patients with oligoarticular or RF-negative polyarticular JIA were genotyped using the Affymetrix Genome-Wide SNP Array 6.0 or the Illumina HumanCoreExome-12+ Array. Overall, 15,886 local and out-of-study controls, typed on these platforms or the Illumina HumanOmni2.5, were used for association analyses. High-quality single-nucleotide polymorphisms (SNPs) were used for imputation to 1000 Genomes prior to SNP association analysis. RESULTS:Meta-analysis showed evidence of association (P < 1 × 10-6 ) at 9 regions: PRR9_LOR (P = 5.12 × 10-8 ), ILDR1_CD86 (P = 6.73 × 10-8 ), WDFY4 (P = 1.79 × 10-7 ), PTH1R (P = 1.87 × 10-7 ), RNF215 (P = 3.09 × 10-7 ), AHI1_LINC00271 (P = 3.48 × 10-7 ), JAK1 (P = 4.18 × 10-7 ), LINC00951 (P = 5.80 × 10-7 ), and HBP1 (P = 7.29 × 10-7 ). Of these, PRR9_LOR, ILDR1_CD86, RNF215, LINC00951, and HBP1 were shown, for the first time, to be autoimmune disease susceptibility loci. Furthermore, associated SNPs included cis expression quantitative trait loci for WDFY4, CCDC12, MTP18, SF3A1, AHI1, COG5, HBP1, and GPR22. CONCLUSION:This study provides evidence of both unique JIA risk loci and risk loci overlapping between JIA and other autoimmune diseases. These newly associated SNPs are shown to influence gene expression, and their bounding regions tie into molecular pathways of immunologic relevance. Thus, they likely represent regions that contribute to the pathology of oligoarticular JIA and RF-negative polyarticular JIA.

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Dense genotyping of immune-related disease regions identifies 14 new susceptibility loci for juvenile idiopathic arthritis.

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Dense genotyping of immune-related disease regions identifies 14 new susceptibility loci for juvenile idiopathic arthritis.

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