An overview of DNA methylation-derived trait score methods and applications

Microarray technology has been used to measure genome-wide DNA methylation in thousands of individuals. These studies typically test the associations between individual DNA methylation sites ("probes") and complex traits or diseases. The results can be used to generate methylation profile...

Full description

Saved in:
Bibliographic Details
Published inGenome Biology Vol. 24; no. 1; pp. 28 - 23
Main Authors Nabais, Marta F, Gadd, Danni A, Hannon, Eilis, Mill, Jonathan, McRae, Allan F, Wray, Naomi R
Format Journal Article
LanguageEnglish
Published England BioMed Central 16.02.2023
BMC
Subjects
Apoptosis
Biomarkers
Cancer
Cardiovascular disease
Datasets
DNA
DNA Methylation
DNA microarrays
DNA probes
Epigenetics
FDA approval
Gene expression
Genome-Wide Association Study - methods
Genomes
Humans
Multifactorial Inheritance
Phenotype
Polygenic inheritance
Quantitative Trait Loci
Review
Risk Factors
Online AccessGet full text

Cover

More Information
Summary:Microarray technology has been used to measure genome-wide DNA methylation in thousands of individuals. These studies typically test the associations between individual DNA methylation sites ("probes") and complex traits or diseases. The results can be used to generate methylation profile scores (MPS) to predict outcomes in independent data sets. Although there are many parallels between MPS and polygenic (risk) scores (PGS), there are key differences. Here, we review motivations, methods, and applications of DNA methylation-based trait prediction, with a focus on common diseases. We contrast MPS with PGS, highlighting where assumptions made in genetic modeling may not hold in epigenetic data.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
ObjectType-Review-3
content type line 23
ISSN:1474-760X
1474-7596
1474-760X
DOI:10.1186/s13059-023-02855-7