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FEN1 -69G>A and 4150G>T polymorphisms and cancer risk in Chinese population.


ABSTRACT: Previous studies have investigated the associations between FEN1 -69G>A (rs174538) and 4150G>T (rs4246215) polymorphisms and cancer risk in Chinese population. However, the results were controversial. We therefore carried out a meta-analysis to derive a more precise estimation of the associations. PubMed Database was systematically searched to identify potentially eligible literatures. Crude odds ratios (ORs) and their 95% confidence intervals (CIs) were used to assess the strength of associations between FEN1 -69G>A and 4150G>T polymorphisms and cancer risk in Chinese population. A total of 4 articles, including 5,108 cases and 6,382 controls, were used to evaluate the effect of the two polymorphisms on cancer risk. The pooled ORs indicated that FEN1 -69G>A and 4150G>T polymorphisms were significantly associated with cancer risk in Chinese population. In stratified analyses by cancer type, significant associations were also observed in digestive system cancer. In addition, haplotypes consisting of -69G>A and 4150G>T polymorphisms were closely associated with cancer risk. Interestingly, significantly correlation between FEN1 -69G>A polymorphism and mRNA expression was observed. In conclusion, this meta-analysis suggests that FEN1 -69G>A and 4150G>T polymorphisms may be associated with cancer susceptibility in Chinese population. However, further investigation on large population and different ethnicities are warranted.

SUBMITTER: Gao XR 

PROVIDER: S-EPMC4143769 | biostudies-literature | 2014 Aug

REPOSITORIES: biostudies-literature

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FEN1 -69G>A and 4150G>T polymorphisms and cancer risk in Chinese population.

Gao Xue-ren XR   Zhang Shu-long SL   Yang Yong-feng YF   Han Guo-rong GR  

Scientific reports 20140826


Previous studies have investigated the associations between FEN1 -69G>A (rs174538) and 4150G>T (rs4246215) polymorphisms and cancer risk in Chinese population. However, the results were controversial. We therefore carried out a meta-analysis to derive a more precise estimation of the associations. PubMed Database was systematically searched to identify potentially eligible literatures. Crude odds ratios (ORs) and their 95% confidence intervals (CIs) were used to assess the strength of associatio  ...[more]

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