Literature DB >> 23573956

TP53 and RPA3 gene variations were associated with risk of glioma in a Chinese Han population.

Tianbo Jin1, Jiayi Zhang, Gang Li, Shanqu Li, Bo Yang, Chao Chen, Linbo Cai.   

Abstract

Recent advances in human genetic studies have opened new avenues for the identification of susceptibility genes for many complex genetic disorders, especially in the field of rare cancers such as glioma. Glioma is one of the least understood human tumors and the etiology for glioma is barely known. Hundreds of single-nucleotide polymorphisms (SNPs) are found to be related to the risk of glioma in previous studies. This study is committed to investigate the role of heredity in this disorder. To examine and validate how common variants contribute to glioma susceptibility in the Han Chinese population, we evaluated 12 tagging SNPs in a case-control study in the Chinese Han population from Xi'an city of China (301 cases and 302 controls). Overall, two protective alleles and one risk allele for glioma were found by genetic model analyses. In dominant model, the allele "T" of rs6947203 in the RPA3 gene acts as a protective allele [odds ratio (OR), 0.59; 95% confidence interval (CI), 0.22-0.90; p=0.014]. In recessive model, the allele "C" of rs1042522 in the TP53 gene acts as a risk allele (OR, 1.65; 95% CI, 1.05-2.59; p=0.0314). In additive model, the allele "G" of rs4140805 in the RPA3 gene (OR, 0.73; 95% CI, 0.53-0.99; p=0.0437) and the allele "T" of rs6947203 in the RPA3 gene (OR, 0.62; 95% CI, 0.42-0.92; p=0.0177) both act as protective alleles. We also observed a haplotype of "CC" in the TP53 gene with an increased risk of 34% of developing glioma (p=0.0306). Our results, combined with previous studies, ascertain the potential role of the TP53 gene to glioma onset.

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Year:  2013        PMID: 23573956     DOI: 10.1089/cbr.2012.1291

Source DB:  PubMed          Journal:  Cancer Biother Radiopharm        ISSN: 1084-9785            Impact factor:   3.099


  7 in total

1.  Quantitative assessment of the association between TP53 Arg72Pro polymorphism and risk of glioma.

Authors:  Feng Zhang; Danni Li; Yanshuang Li; Haixia Li; Jinbo Sun; Xianfeng Li; Xiaohong Li
Journal:  Tumour Biol       Date:  2013-09-18

2.  Modifiers of (CAG)(n) instability in Machado-Joseph disease (MJD/SCA3) transmissions: an association study with DNA replication, repair and recombination genes.

Authors:  Sandra Martins; Christopher E Pearson; Paula Coutinho; Sylvie Provost; António Amorim; Marie-Pierre Dubé; Jorge Sequeiros; Guy A Rouleau
Journal:  Hum Genet       Date:  2014-07-16       Impact factor: 4.132

3.  The effects of p53 Arg72Pro polymorphism on glioma susceptibility: a meta-analysis.

Authors:  Weijie Zhu; Lei Lu; Yi Li; Jie Yao; Bainan Xu
Journal:  Tumour Biol       Date:  2014-02-01

4.  Analysis of difference of association between polymorphisms in the XRCC5, RPA3 and RTEL1 genes and glioma, astrocytoma and glioblastoma.

Authors:  Tianbo Jin; Yuan Wang; Gang Li; Shuli Du; Hua Yang; Tingting Geng; Peng Hou; Yongkuan Gong
Journal:  Am J Cancer Res       Date:  2015-06-15       Impact factor: 6.166

5.  P53 codon 72 Arg/Pro polymorphism and glioma risk: an updated meta-analysis.

Authors:  Fang He; Yi Xia; Huafeng Liu; Jin Li; Chao Wang
Journal:  Tumour Biol       Date:  2013-07-17

6.  Association of TP53 rs1042522 C>G Polymorphism with Glioma Risk in Chinese Children.

Authors:  Fan Liao; Li Yuan; Jinhong Zhu; Wei Chen; Yemu Zhao; Jing He
Journal:  Biomed Res Int       Date:  2022-08-13       Impact factor: 3.246

7.  High frequency of the X-chromosome inactivation in young female patients with high-grade glioma.

Authors:  Gang Li; Zhiguo Zhang; Tianbo Jin; Hongjuan Liang; Yanyang Tu; Li Gong; Zhongping Chen; Guodong Gao
Journal:  Diagn Pathol       Date:  2013-06-19       Impact factor: 2.644

  7 in total

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