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XRCC1 Gene Polymorphisms and Glioma Risk in Chinese Population: A Meta-Analysis

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  • Li-Wen He
  • Rong Shi
  • Lei Jiang
  • Ye Zeng
  • Wen-Li Ma
  • Jue-Yu Zhou

Abstract

Background: Three extensively investigated polymorphisms (Arg399Gln, Arg194Trp, and Arg280His) in the X-ray repair cross-complementing group 1 (XRCC1) gene have been implicated in risk for glioma. However, the results from different studies remain inconsistent. To clarify these conflicts, we performed a quantitative synthesis of the evidence to elucidate these associations in the Chinese population. Methods: Data were extracted from PubMed and EMBASE, with the last search up to August 21, 2014. Meta-analysis was performed by critically reviewing 8 studies for Arg399Gln (3062 cases and 3362 controls), 8 studies for Arg194Trp (3419 cases and 3680 controls), and 5 studies for Arg280His (2234 cases and 2380 controls). All of the statistical analyses were performed using the software program, STATA (version 11.0). Results: Our analysis suggested that both Arg399Gln and Arg194Trp polymorphisms were significantly associated with increased risk of glioma (for Arg399Gln polymorphism: Gln/Gln vs. Arg/Arg, OR = 1.82, 95% CI = 1.46–2.27, P = 0.000; Arg/Gln vs. Arg/Arg, OR = 1.25, 95% CI = 1.10–1.42, P = 0.001 and for Arg194Trp polymorphism: recessive model, OR = 1.78, 95% CI = 1.44–2.19, P = 0.000), whereas the Arg280His polymorphism had no influence on the susceptibility to glioma in a Chinese population. Conclusions: This meta-analysis suggests that there may be no association between the Arg280His polymorphism and glioma risk, whereas the Arg399Gln/Arg194Trp polymorphisms may contribute to genetic susceptibility to glioma in the Chinese population. Nevertheless, large-scale, well-designed and population-based studies are needed to further evaluate gene-gene and gene–environment interactions, as well as to measure the combined effects of these XRCC1 variants on glioma risk.

Suggested Citation

  • Li-Wen He & Rong Shi & Lei Jiang & Ye Zeng & Wen-Li Ma & Jue-Yu Zhou, 2014. "XRCC1 Gene Polymorphisms and Glioma Risk in Chinese Population: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-10, November.
  • Handle: RePEc:plo:pone00:0111981
    DOI: 10.1371/journal.pone.0111981
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    References listed on IDEAS

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    1. Lei Jiang & Xiao Fang & Yi Bao & Jue-Yu Zhou & Xiao-Yan Shen & Mao-Hua Ding & Yi Chen & Guo-Han Hu & Yi-Cheng Lu, 2013. "Association between the XRCC1 Polymorphisms and Glioma Risk: A Meta-Analysis of Case-Control Studies," PLOS ONE, Public Library of Science, vol. 8(1), pages 1-11, January.
    2. Xingliang Yang & Shuyu Long & Jianping Deng & Tianxing Deng & Zhihua Gong & Ping Hao, 2013. "Glutathione S-Transferase Polymorphisms (GSTM1, GSTT1 and GSTP1) and Their Susceptibility to Renal Cell Carcinoma: An Evidence-Based Meta-Analysis," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-12, May.
    3. Lin-Bo Gao & Xin-Min Pan & Li-Juan Li & Wei-Bo Liang & Peng Bai & Li Rao & Xiao-Wei Su & Tao Wang & Bin Zhou & Yong-Gang Wei & Lin Zhang, 2011. "Null Genotypes of GSTM1 and GSTT1 Contribute to Risk of Cervical Neoplasia: An Evidence-Based Meta-Analysis," PLOS ONE, Public Library of Science, vol. 6(5), pages 1-7, May.
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    1. Deng Ao & Hai-jun Wang & Li-fang Wang & Jie-yun Song & Hui-xia Yang & Yan Wang, 2015. "The rs2237892 Polymorphism in KCNQ1 Influences Gestational Diabetes Mellitus and Glucose Levels: A Case-Control Study and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-11, June.

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