SR-TWAS: leveraging multiple reference panels to improve transcriptome-wide association study power by ensemble machine learning

SR-TWAS: leveraging multiple reference panels to improve transcriptome-wide association study power by ensemble machine learning

Abstract Multiple reference panels of a given tissue or multiple tissues often exist, and multiple regression methods could be used for training gene expression imputation models for transcriptome-wide association studies (TWAS). To leverage expression imputation models (i.e., base models) trained w...

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Bibliographic Details
Main Authors: Randy L. Parrish, Aron S. Buchman, Shinya Tasaki, Yanling Wang, Denis Avey, Jishu Xu, Philip L. De Jager, David A. Bennett, Michael P. Epstein, Jingjing Yang
Format: Article
Language:English
Published: Nature Portfolio 2024-08-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-024-50983-w

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https://doi.org/10.1038/s41467-024-50983-w

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