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Methods for Mediation Analysis with High-Dimensional DNA Methylation Data: Possible Choices and Comparison.
Dylan Clark-Boucher1, Xiang Zhou2, Jiacong Du2
1Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA.
Medrxiv : the Preprint Server for Health Sciences
|February 24, 2023
Summary
This study compares statistical methods for analyzing DNA methylation (DNAm) as a mediator. The best methods for detecting mediators and estimating mediation effects are identified, aiding epigenetic research.
Area of Science:
- Epigenetics
- Statistical genetics
- Environmental health
Background:
- DNA methylation (DNAm) is a key epigenetic mechanism linking environmental exposures to disease.
- Modern statistical methods for high-dimensional mediation analysis are underutilized in epigenetics.
- Evaluating multiple DNA methylation mediators requires robust statistical approaches.
Conclusions:
- Guidelines are provided for epigenetic researchers to select appropriate high-dimensional mediation analysis methods.
- Recommendations for future methodological development in mediation analysis are suggested.
- The study facilitates the adoption of advanced statistical techniques in epigenetics research.
