Asian Pacific Journal of Cancer Prevention

Asian Pacific Journal of Cancer Prevention (아시아태평양암예방학회)
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Comprehensive Study on Associations Between Nine SNPs and Glioma Risk

  • Liu, Hai-Bo (Department of Neurosurgery, the Affiliated Nanfang Hospital of Southern Medical University) ;
  • Peng, Yu-Ping (Department of Neurosurgery, the Affiliated Nanfang Hospital of Southern Medical University) ;
  • Dou, Chang-Wu (Department of Neurosurgery, the Affiliated Hospital of Inner Mongolia Medical University) ;
  • Su, Xiu-Lan (Central Laboratory, the Affiliated Hospital of Inner Mongolia Medical University) ;
  • Gao, Nai-Kang (Department of Neurosurgery, the Affiliated Hospital of Inner Mongolia Medical University) ;
  • Tian, Fu-Ming (Department of Neurosurgery, the Affiliated Hospital of Inner Mongolia Medical University) ;
  • Bai, Jie (Department of Neurosurgery, the Affiliated Hospital of Inner Mongolia Medical University)
  • Published : 2012.10.31
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Abstract

Aim: Glioma cancer is the most common type of adult brain tumor. Recent genome-wide association studies (GWAS) have identified various new susceptibility regions and here we conducted an extensive analysis of associations between 12 single nucleotide polymorphisms (SNPs) and glioma risk. Methods: A total of 197 glioma cases and 197 health controls were selected, and 9 SNPs in 8 genes were analyzed using the Sequenom MassARRAY platform and Sequenom Assay Design 3.1 software. Results: We found the MAF among selected controls were consistent with the MAF from the NCBI SNP database. Among 9 SNPs in 8 genes, we identified four significant SNP genotypes associated with the risk of glioma, C/C genotype at rs730437 and T/T genotype at rs1468727 in ERGF were protective against glioma, whereas the T/T genotype at rs1799782 in XRCC1 and C/C genotype at rs861539 in XRCC3 conferred elevated risk. Conclusion: Our comprehensive analysis of nine SNPs in eight genes suggests that the rs730437 and rs1468727 in ERGF, rs1799782 in XRCC1 gene, and rs861539 in XRCC3 gene are associated with glioma risk. These findings indicate that genetic variants of various genes play a complex role in the development of glioma.

Keywords

References

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