Abstract
DNA methylation alterations have been widely studied as mediators of environmentally induced disease risks. With new advances in technique, epigenome-wide DNA methylation data (EWAS) have become the new standard for epigenetic studies in human populations. However, to date most epigenetic studies of mediation effects only involve selected (gene-specific) candidate methylation markers. There is an urgent need for appropriate analytical methods for EWAS mediation analysis. In this chapter, we provide an overview of recent advances on high-dimensional mediation analysis, with application to two DNA methylation data.
Original language | English (US) |
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Title of host publication | Methods in Molecular Biology |
Publisher | Humana Press Inc. |
Pages | 123-135 |
Number of pages | 13 |
DOIs | |
State | Published - 2022 |
Publication series
Name | Methods in Molecular Biology |
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Volume | 2432 |
ISSN (Print) | 1064-3745 |
ISSN (Electronic) | 1940-6029 |
Funding
The work of Haixiang Zhang is partially supported by Science Foundation of Tianjin University (No. 2018XRG-0038). The work of Lei Liu is partially supported by the Washington University Institute of Clinical and Translational Sciences grant UL1TR000448 from the National Center for Advancing Translational Sciences (NCATS) of the National Institutes of Health (NIH) and NIH R21 AG063370.
Keywords
- Epigenetics
- False discovery rate
- Joint significance test
- Mediation analysis
- Multiple comparison
- Regularization
- Variable selection
ASJC Scopus subject areas
- Genetics
- Molecular Biology