作者: Zesheng Peng , Daofeng Tian , Qianxue Chen , Shenqi Zhang , Baohui Liu
DOI:
关键词: Oncology 、 Internal medicine 、 Bioinformatics 、 Glioma 、 Publication bias 、 Odds ratio 、 Meta-analysis 、 Genetic model 、 Telomerase reverse transcriptase 、 Medicine 、 Confidence interval 、 Allele
摘要: The rs2736100 polymorphism in telomerase reverse transcriptase (TERT) gene has been implicated as a risk factor for glioma previous epidemiological studies. However, the data from these studies were inconclusive precise association of TERT with glioma. Here we employed meta-analysis aiming to evaluate such association. PubMed, Embase, and Web Science systematically searched eligible odds ratio (OR) 95% confidence interval (95% CI) was estimated assess strength this fixed or random effects models. A total 5 16 articles including 7337 cases 12062 controls eventually collected. Our analyses showed that there significant between all five genetic models(homozygous model-GG vs. TT: OR=1.64, CI=1.50~1.79, P heterogeneity=0.253, I2=17.5%; heterozygous model-GT OR=1.38, CI=1.27~1.49, heterogeneity=0.235, I2=19.1%; dominant model-GG+GT OR=1.46, CI=1.36~1.57, heterogeneity=0.167, I2=25.5%; recessive GT+TT: OR=1.31, CI=1.22~1.40, heterogeneity=0.796, I2=0.0%; additive model-G allele T allele: OR=1.27, CI=1.21~1.32, heterogeneity=0.481, I2=0.0%). Further subgroup analysis on control source ethnicity, found similar population-based, hospital-based Caucasians groups. result heterogeneity test acceptable range (P<0.05 I2<50%). Egger’s tests Begg’s funnel plot did not show any publication bias. Sensitivity confirmed our results reliable. Taken together, suggested may greatly increase risk.