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Meta-Analysis
. 2017 Mar 28;8(13):20784-20793.
doi: 10.18632/oncotarget.15265.

Three single nucleotide polymorphisms of TNFAIP3 gene increase the risk of rheumatoid arthritis

Nan Shen  1 , Yuan Ruan  2 , Yajun Lu  3 , Xuefeng Jiang  4 , Huiqing Sun  4 , Gongming Gao  5 , Luming Nong  5 , Kewei Ren  4
Affiliations
Meta-Analysis

Three single nucleotide polymorphisms of TNFAIP3 gene increase the risk of rheumatoid arthritis

Nan Shen et al. Oncotarget. .

Abstract

Rheumatoid arthritis (RA) is a systemic autoimmune disease characterized by chronic destructive inflammation in synovial joints. To date, many studies explored the associations between tumor necrosis factor alpha inducible protein 3 (TNFAIP3) gene rs6920220, rs2230926, and rs5029937 polymorphisms and the risk of rheumatoid arthritis (RA), but with contradictory results. We therefore conducted a comprehensive meta-analysis to address the associations. We searched in the databases of PubMed and Embase. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by the Stata 11.0 software. A total of 21 case-control studies for these three single nucleotide polymorphisms (SNPs) were included in this meta-analysis. Meta-analysis indicated that TNFAIP3 gene rs6920220, rs2230926, and rs5029937 polymorphisms were associated with the increased risk of RA. Stratification analysis of ethnicity found that rs6920220 and rs5029937 polymorphisms increased the risk of RA among Caucasians, while rs2230926 polymorphism increased the risk of RA among Asians. In summary, this meta-analysis confirms that TNFAIP3 gene polymorphisms may play important roles in the pathogenesis of RA.

Keywords: TNFAIP3; meta-analysis; rheumatoid arthritis; single nucleotide polymorphism.

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Conflict of interest statement

CONFLICTS OF INTEREST

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1. Selection for eligible publications included in this meta-analysis
Figure 2
Figure 2. Forest plot shows odds ratio for the associations between rs6920220 polymorphism and RA risk (AA vs. GA+GG)
Figure 3
Figure 3. Forest plot shows odds ratio for the associations between rs2230926 polymorphism and RA risk (TG+GG vs. TT)
Figure 4
Figure 4. Forest plot shows odds ratio for the associations between rs5029937 polymorphism and RA risk (T vs. G)
Figure 5
Figure 5. Sensitivity analyses for the associations between rs6920220 polymorphism and RA risk (GA+AA vs. GG)
Figure 6
Figure 6. Begg's tests between rs6920220 polymorphism and RA risk (AA vs. GA+GG)
See this image and copyright information in PMC

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