Your browser doesn't support javascript.
loading
An overview of DNA methylation-derived trait score methods and applications.
Nabais, Marta F; Gadd, Danni A; Hannon, Eilis; Mill, Jonathan; McRae, Allan F; Wray, Naomi R.
Affiliation
  • Nabais MF; Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia.
  • Gadd DA; University of Exeter Medical School, RILD Building, RD&E Hospital Wonford, Barrack Road, Exeter, EX2 5DW, UK.
  • Hannon E; Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK.
  • Mill J; University of Exeter Medical School, RILD Building, RD&E Hospital Wonford, Barrack Road, Exeter, EX2 5DW, UK.
  • McRae AF; University of Exeter Medical School, RILD Building, RD&E Hospital Wonford, Barrack Road, Exeter, EX2 5DW, UK.
  • Wray NR; Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, 4072, Australia.
Genome Biol ; 24(1): 28, 2023 02 16.
Article in En | MEDLINE | ID: mdl-36797751
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: DNA Methylation / Quantitative Trait Loci Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Genome Biol Journal subject: BIOLOGIA MOLECULAR / GENETICA Year: 2023 Document type: Article Affiliation country: Australia Country of publication: Reino Unido

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: DNA Methylation / Quantitative Trait Loci Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Genome Biol Journal subject: BIOLOGIA MOLECULAR / GENETICA Year: 2023 Document type: Article Affiliation country: Australia Country of publication: Reino Unido