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      Comprehensive Linkage and Association Analyses Identify Haplotype, Near to the TNFSF15 Gene, Significantly Associated with Spondyloarthritis

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          Abstract

          Spondyloarthritis (SpA) is a chronic inflammatory disorder with a strong genetic predisposition dominated by the role of HLA-B27. However, the contribution of other genes to the disease susceptibility has been clearly demonstrated. We previously reported significant evidence of linkage of SpA to chromosome 9q31–34. The current study aimed to characterize this locus, named SPA2. First, we performed a fine linkage mapping of SPA2 (24 cM) with 28 microsatellite markers in 149 multiplex families, which allowed us to reduce the area of investigation to an 18 cM (13 Mb) locus delimited by the markers D9S279 and D9S112. Second, we constructed a linkage disequilibrium (LD) map of this region with 1,536 tag single-nucleotide polymorphisms (SNPs) in 136 families (263 patients). The association was assessed using a transmission disequilibrium test. One tag SNP, rs4979459, yielded a significant P-value (4.9×10 −5). Third, we performed an extension association study with rs4979459 and 30 surrounding SNPs in LD with it, in 287 families (668 patients), and in a sample of 139 cases and 163 controls. Strong association was observed in both familial and case/control datasets for several SNPs. In the replication study, carried with 8 SNPs in an independent sample of 232 cases and 149 controls, one SNP, rs6478105, yielded a nominal P-value<3×10 −2. Pooled case/control study (371 cases and 312 controls) as well as combined analysis of extension and replication data showed very significant association ( P<5×10 −4) for 6 of the 8 latter markers (rs7849556, rs10817669, rs10759734, rs6478105, rs10982396, and rs10733612). Finally, haplotype association investigations identified a strongly associated haplotype ( P<8.8×10 −5) consisting of these 6 SNPs and located in the direct vicinity of the TNFSF15 gene. In conclusion, we have identified within the SPA2 locus a haplotype strongly associated with predisposition to SpA which is located near to TNFSF15, one of the major candidate genes in this region.

          Author Summary

          Spondyloarthritis (SpA) is a common variety of articular inflammatory disorder characterized by axial and/or peripheral arthritis, frequently associated with extra-articular manifestations such as psoriasis, uveitis, and inflammatory bowel diseases (ulcerative colitis or Crohn's disease (CD)). SpA is a complex disorder with high heritability. The MHC class I HLA-B27 allele is a very strong risk factor for its development, but other genetic factors located outside the MHC also play a role in disease susceptibility. By a previous whole-genome linkage investigation, we have demonstrated that a region located on the chromosome 9q31–34 was involved in SpA susceptibility. The present study aimed to further characterize this locus. Using a stepwise linkage and association approach, we identified a haplotype spanning 6 single-nucleotide polymorphisms strongly associated with SpA and located in a genomic region paralogous to the MHC, near to the TNFSF15 gene. Interestingly, polymorphisms of this gene have previously been shown to be associated with CD. This original finding offers a new research track for the understanding of SpA pathophysiology, which is still poorly understood, as well as new hope for diagnostic and therapeutic innovation.

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          Most cited references51

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          TRAF1-C5 as a risk locus for rheumatoid arthritis--a genomewide study.

          Rheumatoid arthritis has a complex mode of inheritance. Although HLA-DRB1 and PTPN22 are well-established susceptibility loci, other genes that confer a modest level of risk have been identified recently. We carried out a genomewide association analysis to identify additional genetic loci associated with an increased risk of rheumatoid arthritis. We genotyped 317,503 single-nucleotide polymorphisms (SNPs) in a combined case-control study of 1522 case subjects with rheumatoid arthritis and 1850 matched control subjects. The patients were seropositive for autoantibodies against cyclic citrullinated peptide (CCP). We obtained samples from two data sets, the North American Rheumatoid Arthritis Consortium (NARAC) and the Swedish Epidemiological Investigation of Rheumatoid Arthritis (EIRA). Results from NARAC and EIRA for 297,086 SNPs that passed quality-control filters were combined with the use of Cochran-Mantel-Haenszel stratified analysis. SNPs showing a significant association with disease (P<1x10(-8)) were genotyped in an independent set of case subjects with anti-CCP-positive rheumatoid arthritis (485 from NARAC and 512 from EIRA) and in control subjects (1282 from NARAC and 495 from EIRA). We observed associations between disease and variants in the major-histocompatibility-complex locus, in PTPN22, and in a SNP (rs3761847) on chromosome 9 for all samples tested, the latter with an odds ratio of 1.32 (95% confidence interval, 1.23 to 1.42; P=4x10(-14)). The SNP is in linkage disequilibrium with two genes relevant to chronic inflammation: TRAF1 (encoding tumor necrosis factor receptor-associated factor 1) and C5 (encoding complement component 5). A common genetic variant at the TRAF1-C5 locus on chromosome 9 is associated with an increased risk of anti-CCP-positive rheumatoid arthritis. Copyright 2007 Massachusetts Medical Society.
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            Implementing a unified approach to family-based tests of association.

            We describe a broad class of family-based association tests that are adjusted for admixture; use either dichotomous or measured phenotypes; accommodate phenotype-unknown subjects; use nuclear families, sibships or a combination of the two, permit multiple nuclear families from a single pedigree; incorporate di- or multi-allelic marker data; allow additive, dominant or recessive models; and permit adjustment for covariates and gene-by-environment interactions. The test statistic is basically the covariance between a user-specified function of the genotype and a user-specified function of the trait. The distribution of the statistic is computed using the appropriate conditional distribution of offspring genotypes that adjusts for admixture.
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              The European Spondylarthropathy Study Group preliminary criteria for the classification of spondylarthropathy.

              Classification criteria for most of the disorders belonging to the spondylarthropathy group already exist. However, the spectrum of spondylarthropathy is wider than the sum of these disorders suggests. Seronegative oligoarthritis, dactylitis or polyarthritis of the lower extremities, heel pain due to enthesitis, and other undifferentiated cases of spondylarthropathy have been ignored in epidemiologic studies because of the inadequacy of existing criteria. In order to define classification criteria that also encompass patients with undifferentiated spondylarthropathy, we studied 403 patients with all forms of spondylarthropathy and 674 control patients with other rheumatic diseases. The diagnoses were based on the local clinical expert's opinion. The 403 patients included 168 with ankylosing spondylitis, 68 with psoriatic arthritis, 41 with reactive arthritis, 17 with inflammatory bowel disease and arthritis, and 109 with unclassified spondylarthropathy. Based on statistical analysis and clinical reasoning, we propose the following classification criteria for spondylarthropathy: inflammatory spinal pain or synovitis (asymmetric or predominantly in the lower limbs), together with at least 1 of the following: positive family history, psoriasis, inflammatory bowel disease, urethritis, or acute diarrhea, alternating buttock pain, enthesopathy, or sacroiliitis as determined from radiography of the pelvic region. These criteria resulted in a sensitivity of 87% and a specificity of 87%. The proposed classification criteria are easy to apply in clinical practice and performed well in all 7 participating centers. However, we regard them as preliminary until they have been further evaluated in other settings.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, USA )
                1553-7390
                1553-7404
                June 2009
                June 2009
                19 June 2009
                : 5
                : 6
                : e1000528
                Affiliations
                [1 ]Institut Cochin, Université Paris Descartes, CNRS (UMR 8104), Paris, France
                [2 ]INSERM U567, Paris, France
                [3 ]INSERM U535, Université Paris Sud – Paul Brousse Hospital, Villejuif, France
                [4 ]Rheumatology Division, Ambroise Paré Hospital (AP-HP), and Versailles Saint Quentin en Yvelines University, Boulogne-Billancourt, France
                [5 ]Bioinformatics Platform, Faculty of Medicine Paris Descartes, Necker Hospital, Paris, France
                [6 ]Rheumatology Division, Kremlin-Bicêtre Hospital (AP-HP), Kremlin-Bicêtre, France
                [7 ]National Genotyping Center (CNG), Evry, France
                University of Washington, United States of America
                Author notes

                Conceived and designed the experiments: EZ CB AK FL BI RSN CMR HJG SH DZ GC MB. Performed the experiments: EZ AK FL BI NL AV SJ SH CC DB AB. Analyzed the data: EZ CB AK FL BI NL NC AV HJG SH CC AB DZ GC MB. Contributed reagents/materials/analysis tools: CB FL RSN NL NC MB. Wrote the paper: EZ CB CC GC MB.

                Article
                08-PLGE-RA-1094R3
                10.1371/journal.pgen.1000528
                2689651
                19543369
                8cf7a302-70de-4aa0-b669-20fc52f65374
                Zinovieva et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 21 August 2008
                : 19 May 2009
                Page count
                Pages: 13
                Categories
                Research Article
                Genetics and Genomics/Genetics of Disease
                Genetics and Genomics/Medical Genetics
                Immunology/Genetics of the Immune System
                Rheumatology/Autoimmunity, Autoimmune, and Inflammatory Diseases
                Rheumatology/Inflammatory and Psoriatic Arthritis

                Genetics
                Genetics

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