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Identification of a Susceptibility Locus in STAT4 for Behcet's Disease in Han Chinese in a Genome-Wide Association Study

期刊

ARTHRITIS AND RHEUMATISM
卷 64, 期 12, 页码 4104-4113

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WILEY-BLACKWELL
DOI: 10.1002/art.37708

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资金

  1. Natural Science Foundation Major International (Regional) Joint Research Project [30910103912]
  2. National Natural Science Foundation Project [81070722, 81070723, 81270990]
  3. Program for the Training of a Hundred Outstanding Science and Technology Leaders of Chongqing Municipality
  4. Chongqing Key Laboratory of Ophthalmology (CSTC) [2008CA5003]
  5. Natural Science Foundation [81130019]
  6. Chongqing Natural Science Foundation (CSTC) [2010BB5389]
  7. Research Fund for the Doctoral Program of Higher Education of China [20115503110002]
  8. Fund for PAR-EU Scholars Program

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Objective. To identify susceptibility loci for Behcet's disease (BD) and elucidate their functional role. Methods. A genome-wide association study (GWAS) and functional studies were conducted. A total of 149 patients and 951 controls were enrolled in the initial GWAS, and 554 patients and 1,159 controls were enrolled in the replication study. Real-time polymerase chain reaction, luciferase reporter assay, and enzyme-linked immunosorbent assay were performed. Results. Our GWAS and replication studies identified a susceptibility locus around STAT4 (single-ucleotide polymorphisms [SNPs] rs7574070, rs7572482, and rs897200; P = 3.36 x 10(-7) to 6.20 x 10(-9)). Increased expression of STAT4 was observed in individuals carrying the rs897200 risk genotype AA. Consistent with the idea that STAT4 regulates the production of interleukin-17 (IL-17) and interferon-gamma, IL17 messenger RNA and protein levels were increased in individuals carrying the rs897200 risk genotype AA. Interestingly, the risk allele A of rs897200 creates a putative transcription factor binding site. To test whether it directly affects STAT4 transcription, an in vitro luciferase reporter gene assay was performed. Higher transcription activity was observed in individuals carrying the risk allele A, suggesting that rs897200 is likely to directly affect STAT4 expression. Additionally, 2 SNPs, rs7574070 and rs7572482, which are tightly linked with rs897200, were cis-expression quantitative trait loci (eQTL) SNPs, suggesting that SNP rs897200 is an eQTL SNP. Most importantly, the clinical disease severity score was higher in individuals with the rs897200 risk genotype AA. Conclusion. These findings strongly suggest that STAT4 is a novel locus underlying BD. We propose a model in which up-regulation of STAT4 expression and subsequent STAT4-driven production of inflammatory cytokines, such as IL-17, constitute a potential pathway leading to BD.

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