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dc.contributor.authorRowe, Suzanne J
dc.contributor.authorRowlatt, Amy
dc.contributor.authorDavies, Gail
dc.contributor.authorHarris, Sarah E
dc.contributor.authorPorteous, David J
dc.contributor.authorLiewald, David C
dc.contributor.authorMcNeill, Geraldine
dc.contributor.authorStarr, John M
dc.contributor.authorDeary, Ian J
dc.contributor.authorTenesa, Albert
dc.date.accessioned2014-09-05T13:57:01Z
dc.date.available2014-09-05T13:57:01Z
dc.date.issued2013-12-12
dc.identifier.citationRowe , S J , Rowlatt , A , Davies , G , Harris , S E , Porteous , D J , Liewald , D C , McNeill , G , Starr , J M , Deary , I J & Tenesa , A 2013 , ' Complex variation in measures of general intelligence and cognitive change ' , PloS ONE , vol. 9 , no. 3 , e81189 . https://doi.org/10.1371/journal.pone.0081189en
dc.identifier.issn1932-6203
dc.identifier.otherPURE: 38354874
dc.identifier.otherPURE UUID: 15cb5d5a-443b-433b-9f1f-d26cf4553bd1
dc.identifier.otherWOS: 000328731800013
dc.identifier.otherScopus: 84892516937
dc.identifier.urihttp://hdl.handle.net/2164/3450
dc.descriptionCopyright: © 2013 Tenesa et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Funding: Genotyping of the ABC1936, LBC1921, and LBC1936 cohorts and the analyses conducted here were supported by the UK's Biotechnology and Biological Sciences Research Council (BBSRC). Phenotype collection in the Lothian Birth Cohort 1921 was supported by the BBSRC, The Royal Society, and The Chief Scientist Office of the Scottish Government. Phenotype collection in the Lothian Birth Cohort 1936 was supported by Research Into Ageing (continues as part of Age UK's The Disconnected Mind project). Phenotype collection in the Aberdeen Birth Cohort 1936 was supported by the BBSRC, the Wellcome Trust, and the Alzheimer's Research Trust. SJR, AR and AT are funded by the BBSRC through the Roslin Institute's strategic programme grant and project grant BB/K000195/1. The Brain data was provided by the Division of Aging Biology and the Division of Geriatrics and Clinical Gerontology (NIA) through the NIH GWAS Data Repository (dbGaP Accession Number: phs000249.v1.p1) and funded as part of the Intramural Research Program, NIA. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.en
dc.format.extent12
dc.language.isoeng
dc.relation.ispartofPloS ONEen
dc.rightsThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/3.0/en
dc.subjectgenome-wide associationen
dc.subjectmissing heritabilityen
dc.subjectmaximum-likelihooden
dc.subjectgenetic-variationen
dc.subjectcommon SNPSen
dc.subjectschizophreniaen
dc.subjectmortalityen
dc.subjecttraiten
dc.subjectpredictionen
dc.subjectdiseaseen
dc.subjectRC0321 Neuroscience. Biological psychiatry. Neuropsychiatryen
dc.subject.lccRC0321en
dc.titleComplex variation in measures of general intelligence and cognitive changeen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0081189


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