期刊
ANNALS OF NEUROLOGY
卷 82, 期 2, 页码 311-314出版社
WILEY
DOI: 10.1002/ana.24999
关键词
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资金
- Kronos Science
- NIH
- NIH/NIA Eureka Grant [R01-AG-034504]
- NIH/NIA National Institute on Aging [AG041232]
- NIH/NIA Intramural funds
- Medical Research Council JPND PER-ADES grant [MR/L501517/1]
- NIH National Institute on Aging and National Alzheimer's Coordinating Center [U01 AG016976]
- MRC [UKDRI-3003, G0801418, MR/L023784/1, MR/P005748/1, MR/L023784/2] Funding Source: UKRI
- Medical Research Council [G0801418B, MR/L023784/2, MR/L023784/1, MR/L010305/1, MR/P005748/1, UKDRI-3003, G0801418] Funding Source: researchfish
Previous estimates of the utility of polygenic risk score analysis for the prediction of Alzheimer disease have given area under the curve (AUC) estimates of <80%. However, these have been based on the genetic analysis of clinical case-control series. Here, we apply the same analytic approaches to a pathological case-control series and show a predictive AUC of 84%. We suggest that this analysis has clinical utility and that there is limited room for further improvement using genetic data.
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