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

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

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...

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Bibliographic Details
Main Authors: Chachrit Khunsriraksakul, Daniel McGuire, Renan Sauteraud, Fang Chen, Lina Yang, Lida Wang, Jordan Hughey, Scott Eckert, J. Dylan Weissenkampen, Ganesh Shenoy, Olivia Marx, Laura Carrel, Bibo Jiang, Dajiang J. Liu
Format: Article
Language:English
Published: Nature Portfolio 2022-06-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-022-30956-7

Internet

https://doi.org/10.1038/s41467-022-30956-7

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