期刊
NEUROBIOLOGY OF AGING
卷 49, 期 -, 页码 -出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.neurobiolaging.2016.07.018
关键词
AUC; Polygenic score; Heritability
资金
- 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
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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