Leveraging biological and statistical covariates improves the detection power in epigenome-wide association testing

Leveraging biological and statistical covariates improves the detection power in epigenome-wide association testing

Abstract Background Epigenome-wide association studies (EWAS), which seek the association between epigenetic marks and an outcome or exposure, involve multiple hypothesis testing. False discovery rate (FDR) control has been widely used for multiple testing correction. However, traditional FDR contro...

Full description

Bibliographic Details
Main Authors: Jinyan Huang, Ling Bai, Bowen Cui, Liang Wu, Liwen Wang, Zhiyin An, Shulin Ruan, Yue Yu, Xianyang Zhang, Jun Chen
Format: Article
Language:English
Published: BMC 2020-04-01
Series:Genome Biology
Subjects:
False discovery rate
EWAS
Multiple hypothesis testing
Covariate
Online Access:http://link.springer.com/article/10.1186/s13059-020-02001-7

Internet

http://link.springer.com/article/10.1186/s13059-020-02001-7

Similar Items