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Polygenic score prediction captures nearly all common genetic risk for Alzheimer's disease

Escott-Price, V; Shoai, M; Pither, R; Williams, J; Hardy, J; (2017) Polygenic score prediction captures nearly all common genetic risk for Alzheimer's disease. Neurobiology of Aging , 49 214.e7-214.e11. 10.1016/j.neurobiolaging.2016.07.018. Green open access

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Abstract

We estimate the maximum prediction accuracy for the risk of Alzheimer's disease based on disease prevalence and heritability of liability. We demonstrate that the recently reported AUC values for predicting of Alzheimer's disease using polygenic scores reach about 90% of the estimated maximum accuracy that can be achieved by predictors of genetic risk based on genomic profiles.

Type: Article
Title: Polygenic score prediction captures nearly all common genetic risk for Alzheimer's disease
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.neurobiolaging.2016.07.018
Publisher version: http://dx.doi.org/10.1016/j.neurobiolaging.2016.07...
Language: English
Additional information: © 2016 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: AUC, Heritability, Polygenic score
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neurodegenerative Diseases
URI: https://discovery.ucl.ac.uk/id/eprint/1514785
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