A transcriptome-wide association study identifies novel candidate susceptibility genes for prostate cancer risk.

ABSTRACT: A large proportion of heritability for prostate cancer risk remains unknown. Transcriptome-wide association study combined with validation comparing overall levels will help to identify candidate genes potentially playing a role in prostate cancer development. Using data from the Genotype-Tissue Expression Project, we built genetic models to predict normal prostate tissue gene expression using the statistical framework PrediXcan, a modified version of the unified test for molecular signatures and Joint-Tissue Imputation. We applied these prediction models to the genetic data of 79 194 prostate cancer cases and 61 112 controls to investigate the associations of genetically determined gene expression with prostate cancer risk. Focusing on associated genes, we compared their expression in pro

SUBMITTER: Liu D 

PROVIDER: S-EPMC8595764 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature