Association of STAT4 polymorphism with rheumatoid arthritis and systemic lupus erythematosus: A meta-analysis

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STAT4 is a transcription factor that has been implicated in the pathogenesis of rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE). Recently, several reports has documented that a STAT4 haplotype is associated with RA, SLE and Sjogren's syndrome. To summarize and review these findings, we conducted a meta-analysis of all relevant reports published before September 2008. Studies on STAT4 rs7574865 single nucleotide polymorphism (SNP) of RA and SLE were identified using PubMed. Meta-analyses were performed for 15,609 patients with RA and 15,793 controls from 14 published studies and for 2,478 patients with SLE and 5,058 controls from 8 published studies. Meta-odds ratios (ORs) and 95% confidence intervals (CIs) based on random effects models were calculated for all available studies. The overall ORs for the minor T allele of STAT4 rs7574865 SNP were 1.27 (95% CI 1.20-1.34) in RA and 1.57 (95% CI 1.44-1.71) in SLE. Asian controls have significantly higher allele frequency (32%) for the minor T allele of STAT4 rs7574865 SNP than population of European origin (22%), however, there was no significant difference of ORs for RA and SLE by ethnicity. No apparent effect of anti-CCP positivity was found in stratified analysis. The risk of STAT4 genotype for SLE was significantly higher than for RA in populations of European origin and Asian. The results of our meta-analysis demonstrated that STAT4 rs7574865 SNP is significantly associated with RA and SLE. In addition to specific alleles of HLA-DRB1, the minor T allele of STAT4 rs7574865 SNP is a common RA risk factor in populations of European origin and Asian.

Original languageEnglish
Pages (from-to)141-147
Number of pages7
JournalMolecular biology reports
Issue number1
Publication statusPublished - 2010 Jan 1



  • Polymorphism
  • Rheumatoid arthritis
  • STAT4
  • Systemic lupus erythematosus

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

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