4.5 Article

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

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

  1. Cytox Ltd.
  2. MRC [G0902227, MR/L023784/2, MR/P005748/1, MR/L023784/1, G0300429, MR/K013041/1, UKDRI-3003] Funding Source: UKRI
  3. Alzheimers Research UK [ARUK-PG2014-1] Funding Source: researchfish
  4. 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

向作者/读者索取更多资源

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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