Unknown

Dataset Information

Sex-specific gene and pathway modeling of inherited glioma risk.


ABSTRACT:

Background

To date, genome-wide association studies (GWAS) have identified 25 risk variants for glioma, explaining 30% of heritable risk. Most histologies occur with significantly higher incidence in males, and this difference is not explained by currently known risk factors. A previous GWAS identified sex-specific glioma risk variants, and this analysis aims to further elucidate risk variation by sex using gene- and pathway-based approaches.

Methods

Results from the Glioma International Case-Control Study were used as a testing set, and results from 3 GWAS were combined via meta-analysis and used as a validation set. Using summary statistics for nominally significant autosomal SNPs (P < 0.01 in a previous meta-analysis) and nominally significant X-chromosome SNPs (P < 0.01)

SUBMITTER: Ostrom QT 

PROVIDER: S-EPMC6303471 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature