Literature DB >> 26505354

CCDC26 rs4295627 polymorphism (8q24.21) and glioma risk: a meta-analysis.

H W Lu1, M Huang1, J H Wang1, X L Sun1, Y Q Ke1.   

Abstract

The association between the CCDC26 rs4295627 single nucleotide polymorphism (SNP) and the glioma risk has been studied previously, but these studies have yielded conflicting results. The aim of the present study is to analyze this association more vigorously, by means of a meta-analysis. A comprehensive literature search was performed in databases PubMed and EMBASE. Six articles including 12 case-control studies in English with 11,368 controls and 5891 cases were eligible for the meta-analysis. We conducted subgroup analyses by the source of controls, ethnicity, and country. Our meta-analysis revealed that the rs4295627 SNP was associated with the glioma risk in a heterozygote model (TG versus TT: odds ratio = 1.35, 95% confidence interval = 1.26-1.45, P = 0.066). Moreover, our results suggested that the rs4295627 SNP was associated with a notably increased risk of glioma among Caucasians except for Swedes in 4 models (the homozygote model, recessive model, dominant model, and additive model). Nonetheless, in Sweden and China, the results showed no associations. No evidence of the publication bias was uncovered. Thus, our meta-analysis suggests that the rs4295627 SNP is associated with an increased risk of glioma. Additional studies are needed to derive more precise conclusion.

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Year:  2015        PMID: 26505354     DOI: 10.4238/2015.October.5.20

Source DB:  PubMed          Journal:  Genet Mol Res        ISSN: 1676-5680


  2 in total

1.  CCDC26 knockdown enhances resistance of gastrointestinal stromal tumor cells to imatinib by interacting with c-KIT.

Authors:  Ke Cao; Minhuan Li; Ji Miao; Xiaofeng Lu; Xing Kang; Hao Zhu; Shangce Du; Xue Li; Qian Zhang; Wenxian Guan; Ying Dong; Xuefeng Xia
Journal:  Am J Transl Res       Date:  2018-01-15       Impact factor: 4.060

Review 2.  The association of 6 variants of 8q24 and the risk of glioma: A meta-analysis.

Authors:  Yu Tong; Lv Ye; Shiping Li; Fengyan Zhao; Junjie Ying; Yi Qu; Jinhui Li; Dezhi Mu
Journal:  Medicine (Baltimore)       Date:  2019-07       Impact factor: 1.817

  2 in total

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