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Dataset Information

The causal relationship between CSF metabolites and GBM: a two-sample mendelian randomization analysis.


ABSTRACT:

Background

Glioblastoma multiforme (GBM) is a highly aggressive primary malignant brain tumor characterized by rapid progression, poor prognosis, and high mortality rates. Understanding the relationship between cerebrospinal fluid (CSF) metabolites and GBM is crucial for identifying potential biomarkers and pathways involved in the pathogenesis of this devastating disease.

Methods

In this study, Mendelian randomization (MR) analysis was employed to investigate the causal relationship between 338 CSF metabolites and GBM. The data for metabolites were obtained from a genome-wide association study summary dataset based on 291 individuals, and the GBM data was derived from FinnGen included 91 cases and 174,006 controls of European descent. The Inverse Variance Weighted method wa

SUBMITTER: Bao H 

PROVIDER: S-EPMC11382389 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature