Polygenic risk score analysis of pathologically confirmed Alzheimer disease

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

Research output: Contribution to journalArticlepeer-review

57 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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