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Polygenic Risk Score Analysis of Pathologically Confirmed Alzheimer Disease

Valentina, E-P; Amanda, JM; Matt, H; John, H; (2017) Polygenic Risk Score Analysis of Pathologically Confirmed Alzheimer Disease. Annals of Neurology , 82 (2) pp. 311-314. 10.1002/ana.24999. Green open access

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Abstract

Previous estimates of the utility of polygenic risk score analysis for the prediction of Alzheimer disease have given area under the curve (AUC) estimates of <80%. However, these have been based on the genetic analysis of clinical case–control series. Here, we apply the same analytic approaches to a pathological case–control series and show a predictive AUC of 84%. We suggest that this analysis has clinical utility and that there is limited room for further improvement using genetic data.

Type: Article
Title: Polygenic Risk Score Analysis of Pathologically Confirmed Alzheimer Disease
Open access status: An open access version is available from UCL Discovery
DOI: 10.1002/ana.24999
Publisher version: https://doi.org/10.1002/ana.24999
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Science & Technology, Life Sciences & Biomedicine, Clinical Neurology, Neurosciences, Neurosciences & Neurology, INDIVIDUALS, ASSOCIATION, EXPRESSION
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/10025953
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