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Dataset Information

Brain multi-omic Mendelian randomisation to identify novel drug targets for gliomagenesis.


ABSTRACT:

Background

Genetic variants associated with molecular traits that are also associated with liability to glioma can provide causal evidence for the identification and prioritisation of drug targets.

Methods

We performed comprehensive two-sample Mendelian randomisation (Wald ratio and/or IVW) and colocalisation analyses of molecular traits on glioma. Instrumentable traits (QTLs P < 5 × 10-8) were identified amongst 11 985 gene expression measures, 13 285 splicing isoforms and 10 198 protein abundance measures, derived from 15 brain regions. Glioma summary-level data was extracted from a genome-wide association meta-analysis of 12 496 cases and 18 190 controls.

Results

We found evidence for causal effect of 22 molecular traits (across 18 genes/proteins) on glioma risk. T

SUBMITTER: Thornton ZA 

PROVIDER: S-EPMC11780873 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature