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Association between CTLA-4 rs231775 polymorphism and risk of colorectal cancer: a meta analysis.


ABSTRACT: OBJECTIVE:Many previous studies that examined the association between CTLA-4 rs231775 polymorphism and CRC risk have produced inconsistent results. In this study, a meta-analysis was performed to systematically summarize the possible association. METHODS:We identified relevant studies using PubMed, Embase, and China National Knowledge Infrastructure literature databases. Eligible studies were selected using specific criteria. Data were extracted independently by two authors. The pooled OR with 95% CI was estimated by applying the fixed-effects model to examine the association of interest. RESULTS:Eight studies were identified for the meta-analysis. In overall analysis, we observed an significantly increased CRC risk attributed to the AG genotype as compared to the AA genotype (OR: 1.17, 95% CI: 1.02-1.35 for AG vs AA). Stratified analysis according to ethnicity also showed a significant association in Caucasians under the AG vs AA model (OR: 1.22, 95% CI: 1.03-1.46). No significant heterogeneity or publication bias was tested in our meta-analysis. CONCLUSION:In conclusion, the meta-analysis suggests that rs231775 in the CTLA-4 gene may be a risk factor for CRC, especially in Caucasians.

SUBMITTER: Wang L 

PROVIDER: S-EPMC4358495 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Association between CTLA-4 rs231775 polymorphism and risk of colorectal cancer: a meta analysis.

Wang Lijie L   Jing Fangfang F   Su Dan D   Zhang Tingting T   Yang Bo B   Jiao Shunchang S   Jiao Shunchang S   Hu Yi Y   Bai Li L  

International journal of clinical and experimental medicine 20150115 1


<h4>Objective</h4>Many previous studies that examined the association between CTLA-4 rs231775 polymorphism and CRC risk have produced inconsistent results. In this study, a meta-analysis was performed to systematically summarize the possible association.<h4>Methods</h4>We identified relevant studies using PubMed, Embase, and China National Knowledge Infrastructure literature databases. Eligible studies were selected using specific criteria. Data were extracted independently by two authors. The p  ...[more]

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