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- Alizadeh, Behrooz Z, et al.
(författare)
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Functional Variants of Fc Gamma Receptor (FCGR2A) and FCGR3A Are Not Associated with Susceptibility to Systemic Sclerosis in a Large European Study (EUSTAR).
- 2010
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Ingår i: Journal of Rheumatology. - : The Journal of Rheumatology. - 0315-162X .- 1499-2752. ; Jul 1, s. 1673-1679
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Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVE: To investigate the possible role of FCGR2A 519A>G and FCGR3A 559A>C functional polymorphisms in the genetic predisposition to susceptibility to systemic sclerosis (SSc) or clinical phenotype. METHODS: A total of 1566 patients with SSc and 2271 geographically matched controls were included in our study. We analyzed the genotype and allele frequencies of the FCGR2A 519A>G and FCGR3A 559A>C functional variants in 6 independent European cohorts of white patients with SSc, and white controls. The cohorts comprised 165 Dutch patients with SSc and 1326 controls, 236 Spanish patients with SSc and 257 controls, 267 German patients with SSc and 270 controls, 202 Swedish patients with SSc and 261 controls, 416 Italian patients with SSc and 157 controls, and additionally 280 English patients with SSc. Genotyping was performed using Taqman 5' allelic discrimination assay. The study reached a 99% power to detect the effect of a polymorphism at an OR of 1.3. RESULTS: Neither FCGR2A 519A>G nor FCGR3A 559A>C was significantly associated with susceptibility to SSc. We did not find an association with specific disease phenotypes, limited or diffuse cutaneous involvement, autoantibody profiles, or pulmonary involvement. CONCLUSION: Our study strongly suggests the lack of a role for the FCGR2A 519A>G and FCGR3A 559A>C polymorphisms in SSc susceptibility or clinical phenotype in 6 independent European cohorts.
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| 2. |
- Broen, Jasper C A, et al.
(författare)
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The Functional Polymorphism 844 A>G in Fc{alpha}RI (CD89) Does Not Contribute to Systemic Sclerosis or Rheumatoid Arthritis Susceptibility.
- 2011
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Ingår i: Journal of Rheumatology. - : The Journal of Rheumatology. - 0315-162X .- 1499-2752. ; 38:3, s. 446-449
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Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVE: To investigate the role of the Fc(α)RI 844 A>G functional polymorphism in the genetic predisposition to rheumatoid arthritis (RA) and systemic sclerosis (SSc) susceptibility. METHODS: The study population was composed of 1401 patients with SSc, 642 patients with RA, and 1317 healthy controls. The Fc(α)RI (CD89) single-nucleotide polymorphism rs16986050 was genotyped by pyrosequencing. RESULTS: We observed no significant deviation of the genotype and allele frequencies in RA and SSc compared to controls. A metaanalysis and a recessive and dominant model yielded similar negative results. CONCLUSION: Our data show that the Fc(α)RI 844 A>G polymorphism is not associated with SSc or RA susceptibility.
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| 3. |
- López-Isac, Elena, et al.
(författare)
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Brief Report : IRF4 Newly Identified as a Common Susceptibility Locus for Systemic Sclerosis and Rheumatoid Arthritis in a Cross-Disease Meta-Analysis of Genome-Wide Association Studies
- 2016
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Ingår i: Arthritis & Rheumatology. - : Wiley. - 2326-5191 .- 2326-5205. ; 68:9, s. 2338-2344
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Tidskriftsartikel (refereegranskat)abstract
- Objective: Systemic sclerosis (SSc) and rheumatoid arthritis (RA) are autoimmune diseases that have similar clinical and immunologic characteristics. To date, several shared SSc–RA genetic loci have been identified independently. The aim of the current study was to systematically search for new common SSc–RA loci through an interdisease meta–genome-wide association (meta-GWAS) strategy. Methods: The study was designed as a meta-analysis combining GWAS data sets of patients with SSc and patients with RA, using a strategy that allowed identification of loci with both same-direction and opposite-direction allelic effects. The top single-nucleotide polymorphisms were followed up in independent SSc and RA case–control cohorts. This allowed an increase in the sample size to a total of 8,830 patients with SSc, 16,870 patients with RA, and 43,393 healthy controls. Results: This cross-disease meta-analysis of the GWAS data sets identified several loci with nominal association signals (P < 5 × 10−6) that also showed evidence of association in the disease-specific GWAS scans. These loci included several genomic regions not previously reported as shared loci, as well as several risk factors that were previously found to be associated with both diseases. Follow-up analyses of the putatively new SSc–RA loci identified IRF4 as a shared risk factor for these 2 diseases (Pcombined = 3.29 × 10−12). Analysis of the biologic relevance of the known SSc–RA shared loci identified the type I interferon and interleukin-12 signaling pathways as the main common etiologic factors. Conclusion: This study identified a novel shared locus, IRF4, for the risk of SSc and RA, and highlighted the usefulness of a cross-disease GWAS meta-analysis strategy in the identification of common risk loci.
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