Valentina, E-P;
Amanda, JM;
Matt, H;
John, H;
(2017)
Polygenic Risk Score Analysis of Pathologically Confirmed Alzheimer Disease.
Annals of Neurology
, 82
(2)
pp. 311-314.
10.1002/ana.24999.
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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.
| Type: | Article |
|---|---|
| Title: | Polygenic Risk Score Analysis of Pathologically Confirmed Alzheimer Disease |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1002/ana.24999 |
| Publisher version: | https://doi.org/10.1002/ana.24999 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Science & Technology, Life Sciences & Biomedicine, Clinical Neurology, Neurosciences, Neurosciences & Neurology, INDIVIDUALS, ASSOCIATION, EXPRESSION |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neurodegenerative Diseases |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10025953 |
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