XRCC1 Arg399Gln polymorphism confers risk of breast cancer in American population: a meta-analysis of 10846 cases and 11723 controls.

Tao Bu, Li Liu, Yong Sun, Li Zhao, Yang Peng, Shudong Zhou, Lixia Li, Sidong Chen, Yanhui Gao

Journal: PloS one 2014;9(1):e86086

PMID: 24489692

Abstract

BACKGROUND

In the X-ray repair cross-complementing group 1 (XRCC1) gene, a polymorphism, Arg399Gln (rs25487), has been shown to change neoconservative amino acid and thus result in alternation of DNA repair capacity. Numerous studies have investigated the association between Arg399Gln and breast cancer risk in the American population, but yielding inconsistent results. This study aimed to clarify the role of this polymorphism in susceptibility to breast cancer.

METHODS

Literatures were searched in multiple databases including PubMed, Springer Link, Ovid, EBSCO and ScienceDirect databases up to April 2013. A comprehensive meta-analysis was conducted to estimate the overall odds ratio (OR), by integrating data from 18 case control studies of 10846 cases and 11723 controls in the American population.

RESULTS

Overall, significant association was observed between the Arg399Gln polymorphism and breast cancer risk under the random-effects model (OR for dominant model = 1.12, 95% CI: 1.02-1.24, P heterogeneity = 0.003; OR for additive model = 1.07, 95% CI: 1.01-1.14, P heterogeneity = 0.017). Further sensitivity analysis supported the robust stability of this current result by showing similar ORs before and after removal of a single study.

CONCLUSIONS

This meta-analysis suggests that the XRCC1 Arg399Gln polymorphism may significantly contribute to susceptibility of breast cancer in the American population.

Address: Department of Epidemiology and Biostatistics, School of Public Health and Guangdong Key Lab of Molecular Epidemiology, Guangdong Pharmaceutical University, Guangzhou, China ; Department of Prevention and Health Care, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.; Department of Epidemiology and Biostatistics, School of Public Health and Guangdong Key Lab of Molecular Epidemiology, Guangdong Pharmaceutical University, Guangzhou, China.; Department of Prevention and Health Care, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
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