Polygenic score prediction captures nearly all common genetic risk for Alzheimer's disease
Polygenic score prediction captures nearly all common genetic risk for Alzheimer's disease
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DOI：
10.1016/j.neurobiolaging.2016.07.018
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发表时间：
2017-01-01
影响因子：
4.2
通讯作者：
Hardy, John
中科院分区：
文献类型：
--
作者：
Escott-Price, Valentina;Shoai, Maryam;Hardy, John
我们根据疾病患病率和遗传责任来估计阿尔茨海默病风险的最大预测精度。我们证明，最近报道的使用多基因评分预测阿尔茨海默病的AUC值达到了基于基因组谱的遗传风险预测器所能达到的估计最大准确度的90%左右。(C) 2016作者。Elsevier Inc.出版。这是一篇基于CC BY-NC-ND许可的开放获取文章。
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.