OTTERS: a powerful TWAS framework leveraging summary-level reference data

OTTERS: a powerful TWAS framework leveraging summary-level reference data

Here, the authors present a TWAS framework OTTERS that adapts multiple polygenic risk score methods to estimate eQTL weights from summary-level eQTL data. Both simulation and real studies show OTTERS is powerful across a wide range of genetic architectures.

Bibliographic Details
Main Authors: Qile Dai, Geyu Zhou, Hongyu Zhao, Urmo Võsa, Lude Franke, Alexis Battle, Alexander Teumer, Terho Lehtimäki, Olli T. Raitakari, Tõnu Esko, eQTLGen Consortium, Michael P. Epstein, Jingjing Yang
Format: Article
Language:English
Published: Nature Portfolio 2023-03-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-023-36862-w

Internet

https://doi.org/10.1038/s41467-023-36862-w

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