GhostKnockoff inference empowers identification of putative causal variants in genome-wide association studies

GhostKnockoff inference empowers identification of putative causal variants in genome-wide association studies

The authors present GhostKnockoff, a method for genome-wide association studies which can be applied to enhance existing and future studies to identify functional variants with weaker statistical effects that might be missed by conventional association tests.

Bibliographic Details
Main Authors: Zihuai He, Linxi Liu, Michael E. Belloy, Yann Le Guen, Aaron Sossin, Xiaoxia Liu, Xinran Qi, Shiyang Ma, Prashnna K. Gyawali, Tony Wyss-Coray, Hua Tang, Chiara Sabatti, Emmanuel Candès, Michael D. Greicius, Iuliana Ionita-Laza
Format: Article
Language:English
Published: Nature Portfolio 2022-11-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-022-34932-z

Internet

https://doi.org/10.1038/s41467-022-34932-z

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