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Identifying individuals with high risk of Alzheimer’s disease using polygenic risk scores

Leonenko, G; Baker, E; Stevenson-Hoare, J; Sierksma, A; Fiers, M; Williams, J; de Strooper, B; (2021) Identifying individuals with high risk of Alzheimer’s disease using polygenic risk scores. Nature Communications , 12 (1) , Article 4506. 10.1038/s41467-021-24082-z. Green open access

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Abstract

Polygenic Risk Scores (PRS) for AD offer unique possibilities for reliable identification of individuals at high and low risk of AD. However, there is little agreement in the field as to what approach should be used for genetic risk score calculations, how to model the effect of APOE, what the optimal p-value threshold (pT) for SNP selection is and how to compare scores between studies and methods. We show that the best prediction accuracy is achieved with a model with two predictors (APOE and PRS excluding APOE region) with pT<0.1 for SNP selection. Prediction accuracy in a sample across different PRS approaches is similar, but individuals’ scores and their associated ranking differ. We show that standardising PRS against the population mean, as opposed to the sample mean, makes the individuals’ scores comparable between studies. Our work highlights the best strategies for polygenic profiling when assessing individuals for AD risk.

Type: Article
Title: Identifying individuals with high risk of Alzheimer’s disease using polygenic risk scores
Open access status: An open access version is available from UCL Discovery
DOI: 10.1038/s41467-021-24082-z
Publisher version: https://doi.org/10.1038/s41467-021-24082-z
Language: English
Additional information: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Keywords: Alzheimer's disease; Genetics; Genome-wide association studies; Neurology
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 > UK Dementia Research Institute
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UK Dementia Research Institute HQ
URI: https://discovery.ucl.ac.uk/id/eprint/10132674
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