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Published in: Diagnostic Pathology 1/2014

Open Access 01-12-2014 | Research

The effect of CTLA-4 A49G polymorphism on rheumatoid arthritis risk: a meta-analysis

Authors: Gang Li, Fengjun Shi, Jingchen Liu, Ye Li

Published in: Diagnostic Pathology | Issue 1/2014

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Abstract

Background

Recently, a number of studies have been performed to explore the association between CTLA-4 A49G polymorphism and rheumatoid arthritis (RA). However, the results of previous works are still controversial and ambiguous.

Methods

In this work, we attempted to perform an updated meta-analysis of available case-control study in order to assess the association between CTLA-4 A49G polymorphism and RA risk. We searched the various citation databases without limits on languages. Article searching was performed by screening the references of retrieved studies manually. Odds ratios (OR) and 95% confidence intervals (95% CI) were calculated to evaluate the strength of the association.

Results

We totally compiled 27 studies in 24 articles (9805 RA patients and 10691 control subjects) into our meta-analysis work. We found significant association between CTL-A4 A49G polymorphism and RA risk (GG vs. AA: OR = 1.13, 95% CI = 1.03-1.23; GA vs. AA: OR = 1.19, 95% CI = 1.07-1.33; GA + GG vs. AA: OR = 1.18, 95% CI = 1.07-1.29). In the subgroup analysis by ethnicity, evidences of significantly increased risk was also found in both Asian (GG vs. AA: OR = 1.34, 95% CI = 1.15-1.55; GA + GG vs. AA: OR = 1.24, 95% CI = 1.08-1.41) and Caucasian population (GA vs. AA: OR = 1.19, 95% CI = 1.03-1.37; GA + GG vs. AA: OR = 1.14, 95% CI = 1.01-1.29). No evidence of publication bias was found in this work.

Conclusions

Our meta-analysis suggests that CTLA-4 A49G polymorphism was associated with RA risk.

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Appendix
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Metadata
Title
The effect of CTLA-4 A49G polymorphism on rheumatoid arthritis risk: a meta-analysis
Authors
Gang Li
Fengjun Shi
Jingchen Liu
Ye Li
Publication date
01-12-2014
Publisher
BioMed Central
Published in
Diagnostic Pathology / Issue 1/2014
Electronic ISSN: 1746-1596
DOI
https://doi.org/10.1186/s13000-014-0157-0

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