2dFDR: a new approach to confounder adjustment substantially increases detection power in omics association studies

2dFDR: a new approach to confounder adjustment substantially increases detection power in omics association studies

Abstract One challenge facing omics association studies is the loss of statistical power when adjusting for confounders and multiple testing. The traditional statistical procedure involves fitting a confounder-adjusted regression model for each omics feature, followed by multiple testing correction....

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Bibliographic Details
Main Authors: Sangyoon Yi, Xianyang Zhang, Lu Yang, Jinyan Huang, Yuanhang Liu, Chen Wang, Daniel J. Schaid, Jun Chen
Format: Article
Language:English
Published: BMC 2021-07-01
Series:Genome Biology
Subjects:
Confounding
False discovery rate
Association testing
Online Access:https://doi.org/10.1186/s13059-021-02418-8

Internet

https://doi.org/10.1186/s13059-021-02418-8

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