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A Candidate Gene Approach Identifies the TRAF1/C5 Region as a Risk Factor for Rheumatoid Arthritis
BACKGROUND: Rheumatoid arthritis (RA) is a chronic autoimmune disorder affecting ∼1% of the population. The disease results from the interplay between an individual's genetic background and unknown environmental triggers. Although human leukocyte antigens (HLAs) account for ∼30% of the heritabl...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1976626/ https://www.ncbi.nlm.nih.gov/pubmed/17880261 http://dx.doi.org/10.1371/journal.pmed.0040278 |
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author | Kurreeman, Fina A. S Padyukov, Leonid Marques, Rute B Schrodi, Steven J Seddighzadeh, Maria Stoeken-Rijsbergen, Gerrie van der Helm-van Mil, Annette H. M Allaart, Cornelia F Verduyn, Willem Houwing-Duistermaat, Jeanine Alfredsson, Lars Begovich, Ann B Klareskog, Lars Huizinga, Tom W. J Toes, Rene E. M |
author_facet | Kurreeman, Fina A. S Padyukov, Leonid Marques, Rute B Schrodi, Steven J Seddighzadeh, Maria Stoeken-Rijsbergen, Gerrie van der Helm-van Mil, Annette H. M Allaart, Cornelia F Verduyn, Willem Houwing-Duistermaat, Jeanine Alfredsson, Lars Begovich, Ann B Klareskog, Lars Huizinga, Tom W. J Toes, Rene E. M |
author_sort | Kurreeman, Fina A. S |
collection | PubMed |
description | BACKGROUND: Rheumatoid arthritis (RA) is a chronic autoimmune disorder affecting ∼1% of the population. The disease results from the interplay between an individual's genetic background and unknown environmental triggers. Although human leukocyte antigens (HLAs) account for ∼30% of the heritable risk, the identities of non-HLA genes explaining the remainder of the genetic component are largely unknown. Based on functional data in mice, we hypothesized that the immune-related genes complement component 5 (C5) and/or TNF receptor-associated factor 1 (TRAF1), located on Chromosome 9q33–34, would represent relevant candidate genes for RA. We therefore aimed to investigate whether this locus would play a role in RA. METHODS AND FINDINGS: We performed a multitiered case-control study using 40 single-nucleotide polymorphisms (SNPs) from the TRAF1 and C5 (TRAF1/C5) region in a set of 290 RA patients and 254 unaffected participants (controls) of Dutch origin. Stepwise replication of significant SNPs was performed in three independent sample sets from the Netherlands (n (cases/controls) = 454/270), Sweden (n (cases/controls) = 1,500/1,000) and US (n (cases/controls) = 475/475). We observed a significant association (p < 0.05) of SNPs located in a haplotype block that encompasses a 65 kb region including the 3′ end of C5 as well as TRAF1. A sliding window analysis revealed an association peak at an intergenic region located ∼10 kb from both C5 and TRAF1. This peak, defined by SNP14/rs10818488, was confirmed in a total of 2,719 RA patients and 1,999 controls (odds ratio(common) = 1.28, 95% confidence interval 1.17–1.39, p (combined) = 1.40 × 10(−8)) with a population-attributable risk of 6.1%. The A (minor susceptibility) allele of this SNP also significantly correlates with increased disease progression as determined by radiographic damage over time in RA patients (p = 0.008). CONCLUSIONS: Using a candidate-gene approach we have identified a novel genetic risk factor for RA. Our findings indicate that a polymorphism in the TRAF1/C5 region increases the susceptibility to and severity of RA, possibly by influencing the structure, function, and/or expression levels of TRAF1 and/or C5. |
format | Text |
id | pubmed-1976626 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-19766262007-09-22 A Candidate Gene Approach Identifies the TRAF1/C5 Region as a Risk Factor for Rheumatoid Arthritis Kurreeman, Fina A. S Padyukov, Leonid Marques, Rute B Schrodi, Steven J Seddighzadeh, Maria Stoeken-Rijsbergen, Gerrie van der Helm-van Mil, Annette H. M Allaart, Cornelia F Verduyn, Willem Houwing-Duistermaat, Jeanine Alfredsson, Lars Begovich, Ann B Klareskog, Lars Huizinga, Tom W. J Toes, Rene E. M PLoS Med Research Article BACKGROUND: Rheumatoid arthritis (RA) is a chronic autoimmune disorder affecting ∼1% of the population. The disease results from the interplay between an individual's genetic background and unknown environmental triggers. Although human leukocyte antigens (HLAs) account for ∼30% of the heritable risk, the identities of non-HLA genes explaining the remainder of the genetic component are largely unknown. Based on functional data in mice, we hypothesized that the immune-related genes complement component 5 (C5) and/or TNF receptor-associated factor 1 (TRAF1), located on Chromosome 9q33–34, would represent relevant candidate genes for RA. We therefore aimed to investigate whether this locus would play a role in RA. METHODS AND FINDINGS: We performed a multitiered case-control study using 40 single-nucleotide polymorphisms (SNPs) from the TRAF1 and C5 (TRAF1/C5) region in a set of 290 RA patients and 254 unaffected participants (controls) of Dutch origin. Stepwise replication of significant SNPs was performed in three independent sample sets from the Netherlands (n (cases/controls) = 454/270), Sweden (n (cases/controls) = 1,500/1,000) and US (n (cases/controls) = 475/475). We observed a significant association (p < 0.05) of SNPs located in a haplotype block that encompasses a 65 kb region including the 3′ end of C5 as well as TRAF1. A sliding window analysis revealed an association peak at an intergenic region located ∼10 kb from both C5 and TRAF1. This peak, defined by SNP14/rs10818488, was confirmed in a total of 2,719 RA patients and 1,999 controls (odds ratio(common) = 1.28, 95% confidence interval 1.17–1.39, p (combined) = 1.40 × 10(−8)) with a population-attributable risk of 6.1%. The A (minor susceptibility) allele of this SNP also significantly correlates with increased disease progression as determined by radiographic damage over time in RA patients (p = 0.008). CONCLUSIONS: Using a candidate-gene approach we have identified a novel genetic risk factor for RA. Our findings indicate that a polymorphism in the TRAF1/C5 region increases the susceptibility to and severity of RA, possibly by influencing the structure, function, and/or expression levels of TRAF1 and/or C5. Public Library of Science 2007-09 2007-09-18 /pmc/articles/PMC1976626/ /pubmed/17880261 http://dx.doi.org/10.1371/journal.pmed.0040278 Text en © 2007 Kurreeman et al. http://creativecommons.org/licenses/by/4.0/ 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 properly credited. |
spellingShingle | Research Article Kurreeman, Fina A. S Padyukov, Leonid Marques, Rute B Schrodi, Steven J Seddighzadeh, Maria Stoeken-Rijsbergen, Gerrie van der Helm-van Mil, Annette H. M Allaart, Cornelia F Verduyn, Willem Houwing-Duistermaat, Jeanine Alfredsson, Lars Begovich, Ann B Klareskog, Lars Huizinga, Tom W. J Toes, Rene E. M A Candidate Gene Approach Identifies the TRAF1/C5 Region as a Risk Factor for Rheumatoid Arthritis |
title | A Candidate Gene Approach Identifies the TRAF1/C5 Region as a Risk Factor for Rheumatoid Arthritis |
title_full | A Candidate Gene Approach Identifies the TRAF1/C5 Region as a Risk Factor for Rheumatoid Arthritis |
title_fullStr | A Candidate Gene Approach Identifies the TRAF1/C5 Region as a Risk Factor for Rheumatoid Arthritis |
title_full_unstemmed | A Candidate Gene Approach Identifies the TRAF1/C5 Region as a Risk Factor for Rheumatoid Arthritis |
title_short | A Candidate Gene Approach Identifies the TRAF1/C5 Region as a Risk Factor for Rheumatoid Arthritis |
title_sort | candidate gene approach identifies the traf1/c5 region as a risk factor for rheumatoid arthritis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1976626/ https://www.ncbi.nlm.nih.gov/pubmed/17880261 http://dx.doi.org/10.1371/journal.pmed.0040278 |
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