Ontology highlight
ABSTRACT: Background
Genome-wide association studies (GWAS) have identified over 80 susceptibility loci for lung cancer risk. However, the genes underlying these associations remain largely unknown.Methods
We conducted a large transcriptome-wide association study (TWAS) to identify lung cancer susceptibility genes. We leveraged gene expression data from lungs and 48 other tissue types and whole-genome sequencing data from up to 706 samples of European ancestry in the GTEx (version 8) to build lung-tissue and joint-tissue gene expression prediction models. These models were applied to GWAS data, including 29,266 lung cancer cases and 56,450 controls, to assess the associations of genetically predicted gene expression levels with lung cancer risk.Results
A total of 8624 genes w
SUBMITTER: Zhao T
PROVIDER: S-EPMC12529646 | biostudies-literature | 2025 Oct
REPOSITORIES: biostudies-literature