Ontology highlight
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