Polygenic risk score analysis of pathologically confirmed alzheimer disease

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. Ann Neurol 2017.

Source: Annals of Neurology - August 9, 2017 Category: Neurology Authors: Valentina Escott ‐Price, Amanda J. Myers, Matt Huentelman, John Hardy Tags: Brief Communication Source Type: research