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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 scores (MP...

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Detalles Bibliográficos
Autores principales: Nabais, Marta F., Gadd, Danni A., Hannon, Eilis, Mill, Jonathan, McRae, Allan F., Wray, Naomi R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936670/
https://www.ncbi.nlm.nih.gov/pubmed/36797751
http://dx.doi.org/10.1186/s13059-023-02855-7
Descripción
Sumario: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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-023-02855-7.