ArticleInternational journal of clinical and experimental medicine2015
Telomerase reverse transcriptase (TERT) rs2736100 polymorphism contributes to increased risk of glioma: evidence from a meta-analysis.
Article in International journal of clinical and experimental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed, 8 citations in OpenAlex.
- Telomere Maintenance Mechanisms in Cancer.Genes · 2018Review
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rs2736100 polymorphism in telomerase reverse transcriptase (TERT) gene has been implicated as a risk factor for glioma in previous epidemiological studies. However, the data from these studies were inconclusive for the precise association of TERT rs2736100 with glioma. Here we employed a meta-analysis aiming to evaluate such association. The PubMed, Embase, and Web of Science were systematically searched for eligible studies. The odds ratio (OR) and 95% confidence interval (95% CI) was estimated to assess the strength of this association in fixed or random effects models. A total of 5 studies in 16 articles including 7337 cases and 12062 controls were eventually collected. Our analyses showed that there was a significant association between TERT rs2736100 polymorphism and glioma in all five genetic models(homozygous model-GG vs. TT: OR=1.64, 95% CI=1.50~1.79, P heterogeneity=0.253, I(2) =17.5%; heterozygous model-GT vs. TT: OR=1.38, 95% CI=1.27~1.49, P heterogeneity=0.235, I(2) =19.1%; dominant model-GG+GT vs. TT: OR=1.46, 95% CI=1.36~1.57, P heterogeneity=0.167, I(2) =25.5%; recessive model-GG vs. GT+TT: OR=1.31, 95% CI=1.22~1.40, P heterogeneity=0.796, I(2) =0.0%; additive model-G allele vs. T allele: OR=1.27, 95% CI=1.21~1.32, P heterogeneity=0.481, I(2) =0.0%). Further subgroup analysis on control source and ethnicity, we found similar association in population-based, hospital-based and Caucasians groups. The result of heterogeneity test were in acceptable range (P<0.05 and I(2) <50%). Egger's tests and Begg's funnel plot did not show any publication bias. Sensitivity analysis confirmed that our results were reliable. Taken together, our meta-analysis suggested that TERT rs2736100 polymorphism may greatly increase glioma risk.
Indexed as
Identifiers
25785013PMC4358468W61002332What OpenQuestion holds
Registered trials
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