ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2016
Identification of expression quantitative trait loci of RPTOR for susceptibility to glioma.
Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 8 citations in OpenAlex.
- Genetic Predisposition to Glioma Mediated by a MAPKAP1 Enhancer Variant.Cellular and molecular neurobiology · 2020Article
- Identification of expression quantitative trait loci ofOncology letters · 2018Article
- An intronic genetic variation ofCancer management and research · 2018Article
- Mapping eQTLs with RNA-seq reveals novel susceptibility genes, non-coding RNAs and alternative-splicing events in systemic lupus erythematosus.Human molecular genetics · 2017Article
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Authors and funding
5 authors at 4 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Expression quantitative trait loci (eQTLs) have been recognized to be more likely to associate with complex diseases including cancer. As an essential scaffold for MTOR complex 1, RPTOR is necessary for the MTOR-catalyzed phosphorylation. This study examined the associations between the eQTLs of RPTOR and glioma susceptibility. The eQTLs of RPTOR were obtained from GTEx eQTL Browser. Associations were estimated by logistic regression models. On the basis of analysis of 138 cases with glioma and 327 cancer-free population controls, we demonstrated that the eQTL of RPTOR, rs7502563, was significantly associated with a decreased glioma risk [odds ratio (OR) = 0.59, 95 % confidence interval (CI) = 0.38-0.89, P = 0.0123] in a dominant manner. Stratified analyses indicated that the association between rs7502563 and glioma was more pronounced in females (OR = 0.40, 95 % CI = 0.20-0.80, P = 0.0091), older subjects (OR = 0.47, 95 % CI = 0.26-0.86, P = 0.0135), and subjects with high-grade glioma (OR = 0.45, 95 % CI = 0.27-0.77, P = 0.0031). Moreover, an interest gradual decrease in OR with higher grade glioma was observed. Further analysis of the extracted data from GTEx eQTL Browser found that rs7502563 G allele was associated with significantly higher expression of RPTOR in all HapMap populations. Our results demonstrate for the first time that the eQTL of RPTOR, rs7502563, is susceptible to glioma.
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