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Updated: May 31, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization
Published on: July 27, 2021
Epigenome-wide association studies for common human diseases
Vardhman K Rakyan1, Thomas A Down, David J Balding
1Blizard Institute of Cell and Molecular Science, Barts and The London School of Medicine and Dentistry, Queen Mary, University of London, London, UK. v.rakyan@qmul.ac.uk
Epigenome-wide association studies (EWASs) explore DNA methylation to uncover disease causes missed by genome-wide association studies (GWASs). Integrating EWASs and GWASs aids in dissecting complex genetic data for functional analysis.
Area of Science:
- Genomics
- Epigenetics
- Disease Etiology
Background:
- Genome-wide association studies (GWASs) identify genetic loci for common diseases but leave much causality unexplained.
- Advances in genomic technologies enable large-scale studies of human disease-associated epigenetic variation, particularly DNA methylation.
Purpose of the Study:
- To discuss the opportunities and challenges of epigenome-wide association studies (EWASs).
- To provide guidance on EWAS design, implementation, and integration with GWASs for functional analysis.
Main Methods:
- Discussion of EWAS design considerations, including cohort and sample selection.
- Exploration of statistical significance, power, and confounding factors in EWASs.
- Examination of follow-up study strategies and integration with GWASs.
Main Results:
- EWASs present unique challenges compared to GWASs.
- Integration of EWASs and GWASs can facilitate the functional dissection of complex GWAS haplotypes.
- EWASs offer a complementary approach to GWASs for understanding disease causality.
Conclusions:
- EWASs are a powerful tool for investigating the role of DNA methylation in common diseases.
- Careful design and analysis are crucial for the success of EWASs.
- Combining EWASs and GWASs enhances the ability to interpret genetic findings and understand disease mechanisms.
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