Polygenic risk score analysis of pathologically confirmed Alzheimer disease

Valentina Escott-Price, Amanda J. Myers, Matt Huentelman, John Hardy

Research output: Contribution to journalArticle

33 Scopus citations

Abstract

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;82:311–314.

Original languageEnglish (US)
Pages (from-to)311-314
Number of pages4
JournalAnnals of neurology
Volume82
Issue number2
DOIs
StatePublished - Aug 2017

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology

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