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Polygenic risk score analysis of pathologically confirmed Alzheimer disease
Author(s) -
EscottPrice Valentina,
Myers Amanda J.,
Huentelman Matt,
Hardy John
Publication year - 2017
Publication title -
annals of neurology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.764
H-Index - 296
eISSN - 1531-8249
pISSN - 0364-5134
DOI - 10.1002/ana.24999
Subject(s) - polygenic risk score , disease , pathological , medicine , biology , genetics , genotype , single nucleotide polymorphism , gene
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.