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Additional file 2 of Polymorphisms in autophagy genes are genetic susceptibility factors in glioblastoma development

NIAID Data Ecosystem2026-03-13 收录

胶质瘤遗传易感性

自噬基因多态性

数据链接：

https://figshare.com/articles/dataset/Additional_file_2_of_Polymorphisms_in_autophagy_genes_are_genetic_susceptibility_factors_in_glioblastoma_development/19128631 数据链接链接失效反馈

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资源简介：

Additional file 2. Raw data.

应用场景：

创建时间：

2022-02-05

胶质瘤遗传易感性

癌症分子机制

Establishing causal links between inherited polymorphisms and cancer risk is challenging. Here, we focus on the single nucleotide polymorphism rs55705857 (A>G), which confers a 6-fold increased risk o

NIAID Data Ecosystem60

Supplementary Table S6 from Region-Based Analyses of Existing Genome-Wide Association Studies Identifies Novel Potential Genetic Susceptibility Regions for Glioma

胶质瘤遗传易感性

基因组关联研究

Supplementary Table S6 shows the DEPTH posterior log odds in favour of association (PLO) score and the logistic regression p-value of the lowest p-value variant for each of the 34 known glioma risk re

Figshare2024-11-12 更新30

Supplementary Table S5 from Region-Based Analyses of Existing Genome-Wide Association Studies Identifies Novel Potential Genetic Susceptibility Regions for Glioma

胶质瘤遗传易感性

基因组关联研究区域分析

Supplementary Table S5 shows the generalised Berk-Jones statistic (GBJ) p-values for the candidate novel susceptibility regions for glioma by study and sex.

Figshare2024-11-12 更新20

Association analysis of RTEL1 variants with risk of adult gliomas in a Korean population

胶质瘤遗传易感性

肿瘤基因组学

Previous studies have identified multiple loci for inherited susceptibility to glioma development, including the regulator of telomere elongation helicase 1 (RTEL1). However, the association between R

NIAID Data Ecosystem40

Table 2 from Region-Based Analyses of Existing Genome-Wide Association Studies Identifies Novel Potential Genetic Susceptibility Regions for Glioma

胶质瘤遗传易感性

全基因组关联分析

P values for candidate novel risk regions from the discovery, validation, and meta-analysis including the lowest P value SNP from each region

Figshare2024-11-12 更新20