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dc.contributor.authorMcCartney, Daniel L.
dc.contributor.authorHillary, Robert F.
dc.contributor.authorStevenson, Anna J.
dc.contributor.authorRitchie, Stuart J.
dc.contributor.authorWalker, Rosie M.
dc.contributor.authorZhang, Qian
dc.contributor.authorMorris, Stewart W.
dc.contributor.authorBermingham, Mairead L.
dc.contributor.authorCampbell, Archie
dc.contributor.authorMurray, Alison D.
dc.contributor.authorWhalley, Heather C.
dc.contributor.authorGale, Catharine R.
dc.contributor.authorPorteous, David J.
dc.contributor.authorHaley, Chris S.
dc.contributor.authorMcRae, Allan F.
dc.contributor.authorWray, Naomi R.
dc.contributor.authorVisscher, Peter M.
dc.contributor.authorMcIntosh, Andrew M.
dc.contributor.authorEvans, Kathryn L.
dc.contributor.authorDeary, Ian J.
dc.contributor.authorMarioni, Riccardo E.
dc.date.accessioned2018-10-18T15:30:22Z
dc.date.available2018-10-18T15:30:22Z
dc.date.issued2018-09-27
dc.identifier.citationMcCartney , D L , Hillary , R F , Stevenson , A J , Ritchie , S J , Walker , R M , Zhang , Q , Morris , S W , Bermingham , M L , Campbell , A , Murray , A D , Whalley , H C , Gale , C R , Porteous , D J , Haley , C S , McRae , A F , Wray , N R , Visscher , P M , McIntosh , A M , Evans , K L , Deary , I J & Marioni , R E 2018 , ' Epigenetic prediction of complex traits and death ' , Genome Biology , vol. 19 , 136 . https://doi.org/10.1186/s13059-018-1514-1en
dc.identifier.issn1474-760X
dc.identifier.otherPURE: 139893235
dc.identifier.otherPURE UUID: c24193e4-ab55-4d9d-bec5-36e8a4c43543
dc.identifier.otherScopus: 85054055584
dc.identifier.otherPubMed: 30257690
dc.identifier.otherORCID: /0000-0003-4915-4847/work/76976573
dc.identifier.urihttp://hdl.handle.net/2164/11292
dc.descriptionFunding: GS received core support from the Chief Scientist Office of the Scottish Government Health Directorates (CZD/16/6) and the Scottish Funding Council (HR03006). Genotyping and DNA methylation profiling of the GS samples was carried out by the Genetics Core Laboratory at the Wellcome Trust Clinical Research Facility, Edinburgh, Scotland and was funded by the Medical Research Council UK and the Wellcome Trust (Wellcome Trust Strategic Award “STratifying Resilience and Depression Longitudinally” ((STRADL) Reference 104036/Z/14/Z)). The LBC1936 is supported by Age UK (Disconnected Mind program) and the Medical Research Council (MR/M01311/1). Methylation typing was supported by Centre for Cognitive Ageing and Cognitive Epidemiology (Pilot Fund award), Age UK, The Wellcome Trust Institutional Strategic Support Fund, The University of Edinburgh, and The University of Queensland. This work was conducted in the Centre for Cognitive Ageing and Cognitive Epidemiology, which is supported by the Medical Research Council and Biotechnology and Biological Sciences Research Council (MR/K026992/1), and which supports IJD. DLM and REM are supported by Alzheimer’s Research UK major project grant ARUK-PG2017B-10. This research was supported by Australian National Health and Medical Research Council (grants 1010374, 1046880, and 1113400) and by the Australian Research Council (DP160102400). PMV, NRW, and AFM are supported by the NHMRC Fellowship Scheme (1078037, 1078901, and 1083656). RFH and AJS are supported by funding from the Wellcome Trust 4-year PhD in Translational Neuroscience – training the next generation of basic neuroscientists to embrace clinical research [108890/Z/15/Z].en
dc.language.isoeng
dc.relation.ispartofGenome Biologyen
dc.rights© The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link tothe Creative Commons license, and indicate if changes were made. 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.en
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectAgeingen
dc.subjectDNA methylationen
dc.subjectMortalityen
dc.subjectPolygenic scoresen
dc.subjectPredictionen
dc.subjectR Medicineen
dc.subjectEcology, Evolution, Behavior and Systematicsen
dc.subjectGeneticsen
dc.subjectCell Biologyen
dc.subjectScottish Funding Councilen
dc.subjectWellcome Trusten
dc.subject104036/Z/14/Zen
dc.subject108890/Z/15/Zen
dc.subjectMedical Research Council (MRC)en
dc.subjectMR/K026992/1en
dc.subjectBiotechnology and Biological Sciences Research Council (BBSRC)en
dc.subjectMR/K026992/1en
dc.subjectAlzheimers Research UKen
dc.subjectARUK-PG2017B-10en
dc.subject.lccRen
dc.titleEpigenetic prediction of complex traits and deathen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Applied Medicineen
dc.contributor.institutionUniversity of Aberdeen.Data Safe Havenen
dc.contributor.institutionUniversity of Aberdeen.Institute of Medical Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Aberdeen Biomedical Imaging Centreen
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.1186/s13059-018-1514-1
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85054055584&partnerID=8YFLogxKen
dc.identifier.vol19en


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