Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/44357
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dc.contributor.authorTimpson, Nicholas John-
dc.contributor.authorDudbridge, Frank-
dc.date.accessioned2019-06-11T13:24:56Z-
dc.date.available2019-06-11T13:24:56Z-
dc.date.issued2018-10-31-
dc.identifier.citationWellcome Open Research, 2018, 3:138en
dc.identifier.issn2398-502X-
dc.identifier.urihttps://wellcomeopenresearch.org/articles/3-138/v1en
dc.identifier.urihttp://hdl.handle.net/2381/44357-
dc.description.abstractInitial genomewide association studies were exceptional owing to an ability to yield novel and reliable evidence for heritable contributions to complex disease and phenotype. However the top results alone were certainly not responsible for a wave of new predictive tools. Despite this, even studies small by contemporary standards were able to provide estimates of the relative contribution of all recorded genetic variants to outcome. Sparking efforts to quantify heritability, these results also provided the material for genomewide prediction. A fantastic growth in the performance of human genetic studies has only served to improve the potential of these complex, but potentially informative predictors. Prompted by these conditions and recent work, this letter explores the likely utility of these predictors, considers how clinical practice might be altered through their use, how to measure the efficacy of this and some of the potential ethical issues involved. Ultimately we suggest that for common genetic variation at least, the future should contain an acceptance of complexity in genetic architecture and the possibility of useful prediction even if only to shift the way we interact with clinical service providers.en
dc.description.sponsorshipNJT is a Wellcome Trust Investigator (202802/Z/16/Z), is the PI of the Avon Longitudinal Study of Parents and Children (MRC & WT 102215/2/13/2), is supported by the University of Bristol NIHR Biomedical Research Centre (BRC-1215-20011), the MRC Integrative Epidemiology Unit (MC_UU_12013/3) and works within the CRUK Integrative Cancer Epidemiology Programme (C18281/A19169).en
dc.language.isoenen
dc.publisherF1000Research, Wellcome Trusten
dc.relation.urihttps://www.ncbi.nlm.nih.gov/pubmed/30828643-
dc.rightsCopyright © the authors, 2018. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en
dc.subjectGWASen
dc.subjectGenetic association studiesen
dc.subjectpredictionen
dc.titleThe Genetic Sphygmomanometer: an argument for routine genome-wide genotyping in the population and a new view on its use to inform clinical practice.en
dc.typeJournal Articleen
dc.identifier.doi10.12688/wellcomeopenres.14870.1-
dc.description.statusPeer-revieweden
dc.description.versionPublisher Versionen
dc.type.subtypeJournal Article-
pubs.organisational-group/Organisationen
pubs.organisational-group/Organisation/COLLEGE OF LIFE SCIENCESen
pubs.organisational-group/Organisation/COLLEGE OF LIFE SCIENCES/School of Medicineen
pubs.organisational-group/Organisation/COLLEGE OF LIFE SCIENCES/School of Medicine/Department of Health Sciencesen
dc.dateaccepted2018-10-22-
Appears in Collections:Published Articles, Dept. of Health Sciences



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