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Meta-Analysis
. 2017 Mar;37(2):263-274.
doi: 10.1007/s10571-016-0367-y. Epub 2016 Apr 7.

Polymorphisms in DNA Repair Gene and Susceptibility to Glioma: A Systematic Review and Meta-Analysis Based on 33 Studies with 15 SNPs in 9 Genes

Kun Liu  1   2 , Yugang Jiang  3
Affiliations
Meta-Analysis

Polymorphisms in DNA Repair Gene and Susceptibility to Glioma: A Systematic Review and Meta-Analysis Based on 33 Studies with 15 SNPs in 9 Genes

Kun Liu et al. Cell Mol Neurobiol. 2017 Mar.

Abstract

At present, many publications have evaluated the correlation between the DNA repair gene polymorphisms and glioma susceptibility. However, the results remain inconclusive. The aim of this research is to exhaustively assess the association of genetic polymorphisms in DNA repair genes with glioma risk in human. Meta-analysis method was conducted, and 33 studies with 15 SNPs in 9 genes were included (12553 glioma cases and 17178 controls). Correlation strength was evaluated by odds ratio with a 95 % confidence interval. Rs1799782 T allele and rs25487A allele might bring about higher risk of glioma in Asian population. Rs1805377 G allele was an increased risk genetic factor of glioma. Asian carried with rs3212986 A allele was more likely to have glioma. Rs1800067 G allele was a risk factor of developing glioma. Carriers with rs12917 CC genotype in MGMT gene had higher risk of glioma in Caucasian than other non-CC genotype carriers. Carriers with rs1136410 T allele in PARP1 gene could more likely to develop glioma in Caucasian. This meta-analysis suggests that glioma susceptibility is associated with rs1799782 and rs25487 of X-ray repair complementing defective repair in Chinese hamster cells 1 (XRCC1), rs1805377 of XRCC4, rs1800067 of excision repair cross-complementing rodent repair deficiency complementation group 4 (ERCC4) and rs3212986 of ERCC1 in Asian population, and rs12917 of O-6-methylguanine-DNA methyltransferase (MGMT) and rs1136410 of poly(ADP-ribose) polymerase 1 (PARP1) in Caucasian population.

Keywords: DNA Repair Gene; Glioma; Meta-analysis; Polymorphisms.

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Conflict of interest statement

The authors state that there are no conflicts of interest to disclose.

Figures

Fig. 1
Fig. 1
A flow diagram of the study selection process
Fig. 2
Fig. 2
Forest plot of rs1799782 polymorphism in XRCC1 and risk of glioma (CT+CC vs. TT)
Fig. 3
Fig. 3
Forest plot of rs25487 polymorphism in XRCC1 and risk of glioma (GG vs. AA+GA)
Fig. 4
Fig. 4
Forest plot of rs1805377 polymorphism in XRCC4 and risk of glioma (A allele vs.G allele)
Fig. 5
Fig. 5
Forest plot of rs3212986 polymorphism in ERCC1 and risk of glioma (CA+CC vs. AA)
Fig. 6
Fig. 6
Forest plot of rs1800067 polymorphism in ERCC4 and risk of glioma (A allele vs. G allele)
Fig. 7
Fig. 7
Forest plot of rs12917 polymorphism in MGMT and risk of glioma (CC vs. TT+CT)
Fig. 8
Fig. 8
Forest plot of rs1136410 polymorphism in PARP1 and risk of glioma (CC+CT vs. TT)
See this image and copyright information in PMC

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