Article
Leveraging biological and statistical covariates improves the detection power in epigenome-wide association testing.
Genome biology - 6 Apr 2020
Huang Jinyan, Bai Ling, Cui Bowen, Wu Liang, Wang Liwen, An Zhiyin, Ruan Shulin, Yu Yue, Zhang Xianyang, Chen Jun
Abstract excerpt
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 control methods do not use auxiliary covariates, and they could be less powerful if the covariates could inform the likelihood of...
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