An overview of DNA methylation-derived trait score methods and applications
dc.contributor.author | Nabais, MF | |
dc.contributor.author | Gadd, DA | |
dc.contributor.author | Hannon, E | |
dc.contributor.author | Mill, J | |
dc.contributor.author | McRae, AF | |
dc.contributor.author | Wray, NR | |
dc.date.accessioned | 2023-07-07T13:13:21Z | |
dc.date.issued | 2023-02-16 | |
dc.date.updated | 2023-07-07T11:44:20Z | |
dc.description.abstract | 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. | en_GB |
dc.description.sponsorship | University of Queensland/University of Exeter (QUEX) | en_GB |
dc.description.sponsorship | National Health and Medical Research Council | en_GB |
dc.description.sponsorship | Wellcome Trust | en_GB |
dc.format.extent | 28- | |
dc.format.medium | Electronic | |
dc.identifier.citation | Vol. 24(1), article 28 | en_GB |
dc.identifier.doi | https://doi.org/10.1186/s13059-023-02855-7 | |
dc.identifier.grantnumber | 1113400 | en_GB |
dc.identifier.grantnumber | 1173790 | en_GB |
dc.identifier.grantnumber | 1151854 | en_GB |
dc.identifier.grantnumber | 108890/Z/15/Z | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/133567 | |
dc.identifier | ORCID: 0000-0001-6840-072X (Hannon, Eilis) | |
dc.identifier | ResearcherID: T-1349-2019 (Hannon, Eilis) | |
dc.identifier | ORCID: 0000-0003-1115-3224 (Mill, Jonathan) | |
dc.identifier | ScopusID: 55395957100 | 57211066410 (Mill, Jonathan) | |
dc.identifier | ResearcherID: B-3276-2010 (Mill, Jonathan) | |
dc.language.iso | en | en_GB |
dc.publisher | BMC | en_GB |
dc.relation.url | https://www.ncbi.nlm.nih.gov/pubmed/36797751 | en_GB |
dc.rights | © The Author(s) 2023. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. | en_GB |
dc.title | An overview of DNA methylation-derived trait score methods and applications | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2023-07-07T13:13:21Z | |
dc.identifier.issn | 1474-760X | |
exeter.article-number | 28 | |
exeter.place-of-publication | England | |
dc.description | This is the final version. Available on open access from BMC via the DOI in this record | en_GB |
dc.identifier.eissn | 1474-760X | |
dc.identifier.journal | Genome Biology | en_GB |
dc.relation.ispartof | Genome Biol, 24(1) | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2023-01-17 | |
dc.rights.license | CC BY | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2023-02-16 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2023-07-07T13:10:11Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2023-07-07T13:13:22Z | |
refterms.panel | A | en_GB |
refterms.dateFirstOnline | 2023-02-16 |
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