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Ann Neurol. 2017 Aug;82(2):311-314. doi: 10.1002/ana.24999. Epub 2017 Aug 9.

Polygenic risk score analysis of pathologically confirmed Alzheimer disease.

Author information

1
Institute of Psychological Medicine and Clinical Neurosciences, Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom.
2
Department of Psychiatry and Behavioral Sciences, Programs in Neuroscience and Human Genetics and Genomics and Center on Aging, Miller School of Medicine, University of Miami, Miami, FL.
3
Neurogenomics Division, Translational Genomics Research Institute, Phoenix, AZ.
4
Department of Molecular Neuroscience and Reta Lilla Weston Laboratories, Institute of Neurology, London, United Kingdom.

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.

PMID:
28727176
PMCID:
PMC5599118
DOI:
10.1002/ana.24999
[Indexed for MEDLINE]
Free PMC Article

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