Work

Polygenic risk score analysis of pathologically confirmed Alzheimer disease

Year: 2017

Type: article

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.

Source: Annals of Neurology

DOI: 10.1002/ana.24999

Authors: Valentina Escott‐Price, Amanda J. Myers, Matt Huentelman, John Hardy

Institutions: Cardiff University, Medical Research Council, University of Miami, Translational Genomics Research Institute, UCL Queen Square Institute of Neurology

Language: English

Topic: Alzheimer's disease research and treatments

Subfield: Physiology (medical)

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, Medical Research Council, National Institute on Aging, NIH Clinical Center