Integrating 3D genomic and epigenomic data to enhance target gene discovery and drug repurposing in transcriptome-wide association studies

Abstract

Transcriptome-wide association studies can be used to test the effects of predicted gene expression in a cohort of individuals based on genetic data. Here, the authors developed a transcriptome-wide association method that integrates 3D genomic and epigenomic data with expression quantitative trait loci to improve gene expression predictions.