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

Escott-Price, Valentina ORCID: https://orcid.org/0000-0003-1784-5483, Shoai, Maryam, Pither, Richard, Williams, Julie ORCID: https://orcid.org/0000-0002-4069-0259 and Hardy, John 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

Preview

PDF - Accepted Post-Print Version Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (483kB) | Preview

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.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Advanced Research Computing @ Cardiff (ARCCA) Medicine MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG)
Subjects:	R Medicine > R Medicine (General)
Uncontrolled Keywords:	AUC; Polygenic score; Heritability
Publisher:	Elsevier
ISSN:	0197-4580
Date of First Compliant Deposit:	30 August 2016
Date of Acceptance:	15 July 2016
Last Modified:	05 May 2023 01:57
URI:	https://orca.cardiff.ac.uk/id/eprint/94084

Citation Data

Cited 89 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item