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A functional polymorphism in XRCC1 is associated with glioma risk: evidence from a meta-analysis

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Abstract

Previous studies show that X-ray cross-complementing group 1 (XRCC 1) Arg399Gln may result in variations in repair efficiency of DNA damage, and this repair deficit may eventually cause individual susceptibility to glioma. However, published data regarding the association between XRCC 1 Arg399Gln polymorphism and glioma risk was contradictory. The aim of this study was to derive a more precise estimation of the association of XRCC 1 Arg399Gln polymorphism with glioma risk by performing a meta-analysis of eligible studies. Odds ratios (ORs) and 95 % confidence intervals (95 %CIs) were used to assess the strength of the association. We performed a meta-analysis of eleven published studies that included 2,808 glioma cases and 3,114 controls. Overall, there was a significant association between XRCC1 Arg399Gln polymorphism and glioma risk in two genetic models (for ArgGln vs ArgArg: OR = 1.30, 95 % CI 1.01–1.68; for GlnGln/ArgGln vs ArgArg: OR = 1.28, 95 % CI 1.01–1.62). In the stratified analysis by ethnicity, the XRCC1 Arg399Gln polymorphism had a higher risk of glioma development among Asians (for Gln vs Arg: OR = 1.34, 95 % CI 1.12–1.61; for GlnGln vs ArgArg: OR = 1.72, 95 % CI 1.18–2.51; for ArgGln vs ArgArg: OR = 1.31, 95 % CI 1.01–1.71; for GlnGln/ArgGln vs ArgArg: OR = 1.41, 95 % CI 1.10–1.80; for GlnGln vs ArgArg/ArgGln: OR = 1.48, 95 % CI 1.05–2.09)., but not among Caucasians. In conclusion, the results suggest that the XRCC 1 Arg399Gln polymorphism may contribute to the susceptibility of glioma in Asians.

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The authors have declared that no competing interests exist.

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Authors and Affiliations

  1. Department of Neurosurgery, Shengjing Hospital of China Medical University, 36 Sanhao Street, Shenyang, 110003, China

    Xiangtai Wei, Duo Chen & Tao Lv

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  1. Xiangtai Wei
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  2. Duo Chen
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  3. Tao Lv
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Correspondence to Xiangtai Wei.

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Wei, X., Chen, D. & Lv, T. A functional polymorphism in XRCC1 is associated with glioma risk: evidence from a meta-analysis. Mol Biol Rep 40, 567–572 (2013). https://doi.org/10.1007/s11033-012-2093-y

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  • DOI: https://doi.org/10.1007/s11033-012-2093-y

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