Journal
NEUROBIOLOGY OF AGING
Volume 49, Issue -, Pages -Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.neurobiolaging.2016.07.018
Keywords
AUC; Polygenic score; Heritability
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Funding
- Cytox Ltd.
- MRC [G0902227, MR/L023784/2, MR/P005748/1, MR/L023784/1, G0300429, MR/K013041/1, UKDRI-3003] Funding Source: UKRI
- Alzheimers Research UK [ARUK-PG2014-1] Funding Source: researchfish
- Medical Research Council [MR/L023784/1, G0902227, MR/L501517/1, MR/L023784/2, G0300429, MR/K013041/1, UKDRI-3003, MR/P005748/1, MR/L010305/1] Funding Source: researchfish
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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. (C) 2016 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license.
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