Open Medicine
(Mar 2024)
The construction of a novel prognostic prediction model for glioma based on GWAS-identified prognostic-related risk loci
Wei Jie,
Li Yujie,
Zhou Wenqian,
Ma Xiaoya,
Hao Jie,
Wen Ting,
Li Bin,
Jin Tianbo,
Hu Mingjun
Affiliations
Wei Jie
Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Northwest University, Xi’an 710069, Shaanxi, China
Li Yujie
Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Northwest University, Xi’an 710069, Shaanxi, China
Zhou Wenqian
Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Northwest University, Xi’an 710069, Shaanxi, China
Ma Xiaoya
Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Northwest University, Xi’an 710069, Shaanxi, China
Hao Jie
Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Northwest University, Xi’an 710069, Shaanxi, China
Wen Ting
Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Northwest University, Xi’an 710069, Shaanxi, China
Li Bin
Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Northwest University, Xi’an 710069, Shaanxi, China
Jin Tianbo
Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Northwest University, Xi’an 710069, Shaanxi, China
Hu Mingjun
College of Life Science, Northwest University, Xi’an 710127, Shaanxi, China
DOI
https://doi.org/10.1515/med-2024-0895
Journal volume & issue
Vol. 19,
no. 1
pp.
213
– 34
Abstract
Read online
Glioma is a highly malignant brain tumor with a grim prognosis. Genetic factors play a role in glioma development. While some susceptibility loci associated with glioma have been identified, the risk loci associated with prognosis have received less attention. This study aims to identify risk loci associated with glioma prognosis and establish a prognostic prediction model for glioma patients in the Chinese Han population.
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