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dc.contributor.authorNabais, MF
dc.contributor.authorGadd, DA
dc.contributor.authorHannon, E
dc.contributor.authorMill, J
dc.contributor.authorMcRae, AF
dc.contributor.authorWray, NR
dc.date.accessioned2023-07-07T13:13:21Z
dc.date.issued2023-02-16
dc.date.updated2023-07-07T11:44:20Z
dc.description.abstractMicroarray 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.sponsorshipUniversity of Queensland/University of Exeter (QUEX)en_GB
dc.description.sponsorshipNational Health and Medical Research Councilen_GB
dc.description.sponsorshipWellcome Trusten_GB
dc.format.extent28-
dc.format.mediumElectronic
dc.identifier.citationVol. 24(1), article 28en_GB
dc.identifier.doihttps://doi.org/10.1186/s13059-023-02855-7
dc.identifier.grantnumber1113400en_GB
dc.identifier.grantnumber1173790en_GB
dc.identifier.grantnumber1151854en_GB
dc.identifier.grantnumber108890/Z/15/Zen_GB
dc.identifier.urihttp://hdl.handle.net/10871/133567
dc.identifierORCID: 0000-0001-6840-072X (Hannon, Eilis)
dc.identifierResearcherID: T-1349-2019 (Hannon, Eilis)
dc.identifierORCID: 0000-0003-1115-3224 (Mill, Jonathan)
dc.identifierScopusID: 55395957100 | 57211066410 (Mill, Jonathan)
dc.identifierResearcherID: B-3276-2010 (Mill, Jonathan)
dc.language.isoenen_GB
dc.publisherBMCen_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/36797751en_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.titleAn overview of DNA methylation-derived trait score methods and applicationsen_GB
dc.typeArticleen_GB
dc.date.available2023-07-07T13:13:21Z
dc.identifier.issn1474-760X
exeter.article-number28
exeter.place-of-publicationEngland
dc.descriptionThis is the final version. Available on open access from BMC via the DOI in this recorden_GB
dc.identifier.eissn1474-760X
dc.identifier.journalGenome Biologyen_GB
dc.relation.ispartofGenome Biol, 24(1)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2023-01-17
dc.rights.licenseCC BY
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-02-16
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-07-07T13:10:11Z
refterms.versionFCDVoR
refterms.dateFOA2023-07-07T13:13:22Z
refterms.panelAen_GB
refterms.dateFirstOnline2023-02-16


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© 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.
Except where otherwise noted, this item's licence is described as © 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.