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Identification of expression quantitative trait loci of RPTOR for susceptibility to glioma

Overview of attention for article published in Tumor Biology, September 2015
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Title
Identification of expression quantitative trait loci of RPTOR for susceptibility to glioma
Published in
Tumor Biology, September 2015
DOI 10.1007/s13277-015-3956-3
Pubmed ID
Authors

Liming Huang, Wenshen Xu, Danfang Yan, Lian Dai, Xi Shi

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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Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 67%
Other 1 33%
Readers by discipline Count As %
Environmental Science 1 33%
Biochemistry, Genetics and Molecular Biology 1 33%
Agricultural and Biological Sciences 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 September 2015.
All research outputs
#22,216,966
of 24,792,414 outputs
Outputs from Tumor Biology
#1,854
of 2,651 outputs
Outputs of similar age
#233,874
of 273,564 outputs
Outputs of similar age from Tumor Biology
#155
of 236 outputs
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