Polygenic risk score analysis of pathologically confirmed Alzheimer's disease

Escott-Price, Valentina ORCID: https://orcid.org/0000-0003-1784-5483, Myers, Amanda J, Huentelman, Matt and Hardy, John 2017. Polygenic risk score analysis of pathologically confirmed Alzheimer's disease. Annals of Neurology 82 (2) , pp. 311-314. 10.1002/ana.24999

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Abstract

Previous estimates of the utility of polygenic risk score analysis for the prediction of Alzheimer’s disease have given Area Under the Curve 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.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Professional Services > Advanced Research Computing @ Cardiff (ARCCA) Research Institutes & Centres > MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG) Schools > Medicine
Subjects:	R Medicine > R Medicine (General)
Uncontrolled Keywords:	Alzheimer’s disease, genetics, pathology
Publisher:	Wiley
ISSN:	0364-5134
Date of First Compliant Deposit:	21 June 2017
Date of Acceptance:	18 July 2017
Last Modified:	09 Nov 2024 00:15
URI:	https://orca.cardiff.ac.uk/id/eprint/101628

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