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

被引：99

作者：

Escott-Price, Valentina ^{[1
]}

Shoai, Maryam ^{[2
]}

Pither, Richard ^{[3
]}

Williams, Julie ^{[1
]}

Hardy, John ^{[2
]}

机构：

[1] Cardiff Univ, Inst Psychol Med & Clin Neurosci, MRC Ctr Neuropsychiat Genet & Genom, Cardiff CF24 4HQ, S Glam, Wales

[2] UCL, Inst Neurol, London, England

[3] Cytox Ltd, Oxford, England

来源：

NEUROBIOLOGY OF AGING | 2017年 / 49卷

关键词：

AUC; Polygenic score; Heritability; GENOME-WIDE ASSOCIATION; IDENTIFIES VARIANTS; UNITED-STATES; CLU; ONSET; INDIVIDUALS; ALLELE; PICALM; IMPACT; ABCA7;

D O I：

10.1016/j.neurobiolaging.2016.07.018

中图分类号：

R592 [老年病学]; C [社会科学总论];

学科分类号：

03 ; 0303 ; 100203 ;

摘要：

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.

引用

页数：5

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