{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["7(10)"],"submitter":["He G"],"pubmed_abstract":["<h4>Background</h4>Studies have identified that the telomerase reverse transcriptase (TERT) gene polymorphism rs10069690 (C>T) is associated with cancer risk, but the results remain inconclusive.<h4>Methods</h4>To provide a more precise estimation of the relationship, we performed a meta-analysis of 45 published studies including 329,035 cases and 730,940 controls. We conducted a search in PubMed, Google Scholar and Web of Science to select studies on the association between rs10069690 and cancer risk. Stratification by ethnicity, cancer type, cancers' classification, source of control, sample size, and genotype method was used to explore the source of heterogeneity. The pooled odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were evaluated using random effects models. Se"],"journal":["Molecular genetics & genomic medicine"],"pagination":["e00903"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6785442"],"repository":["biostudies-literature"],"pubmed_title":["TERT rs10069690 polymorphism and cancers risk: A meta-analysis."],"pmcid":["PMC6785442"],"pubmed_authors":["Zhao C","He G","Zhang Y","Sun C","Song T","Chen Y","Chen X","Chen H","Xiong W","Wu H"],"additional_accession":[]},"is_claimable":false,"name":"TERT rs10069690 polymorphism and cancers risk: A meta-analysis.","description":"<h4>Background</h4>Studies have identified that the telomerase reverse transcriptase (TERT) gene polymorphism rs10069690 (C>T) is associated with cancer risk, but the results remain inconclusive.<h4>Methods</h4>To provide a more precise estimation of the relationship, we performed a meta-analysis of 45 published studies including 329,035 cases and 730,940 controls. We conducted a search in PubMed, Google Scholar and Web of Science to select studies on the association between rs10069690 and cancer risk. Stratification by ethnicity, cancer type, cancers' classification, source of control, sample size, and genotype method was used to explore the source of heterogeneity. The pooled odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were evaluated using random effects models. Se","dates":{"release":"2019-01-01T00:00:00Z","publication":"2019 Oct","modification":"2025-04-04T12:26:36.01Z","creation":"2019-11-05T08:11:17Z"},"accession":"S-EPMC6785442","cross_references":{"pubmed":["31454181"],"doi":["10.1002/mgg3.903"]}}