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Dataset Information

Systematic druggable genome-wide Mendelian randomization identifies therapeutic targets for lung cancer.


ABSTRACT:

Background

Drug repurposing provides a cost-effective approach to address the need for lung cancer prevention and therapeutics. We aimed to identify actionable druggable targets using Mendelian randomization (MR).

Methods

Summary-level data of gene expression quantitative trait loci (eQTLs) were sourced from the eQTLGen resource. We procured genetic associations with lung cancer and its subtypes from the TRICL, ILCCO studies (discovery) and the FinnGen study (replication). We implemented Summary-data-based Mendelian Randomization analysis to identify potential therapeutic targets for lung cancer. Colocalization analysis was further conducted to assess whether the identified signal pairs shared a causal genetic variant.

Findings

In the main analysis dataset, we identif

SUBMITTER: Song W 

PROVIDER: S-EPMC11151555 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature