Risk prediction of late-onset Alzheimer’s disease implies an oligogenic architecture
Despite the identification of genetic risk loci for late-onset Alzheimer’s disease (LOAD), the genetic architecture and prediction remains unclear. Here, the authors use genetic risk scores for prediction of LOAD across three datasets and show evidence suggesting oligogenic variant architecture for...
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Nature Portfolio
2020
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oai:doaj.org-article:2864aaa787e447968771d91143faf8902021-12-02T18:48:25ZRisk prediction of late-onset Alzheimer’s disease implies an oligogenic architecture10.1038/s41467-020-18534-12041-1723https://doaj.org/article/2864aaa787e447968771d91143faf8902020-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-18534-1https://doaj.org/toc/2041-1723Despite the identification of genetic risk loci for late-onset Alzheimer’s disease (LOAD), the genetic architecture and prediction remains unclear. Here, the authors use genetic risk scores for prediction of LOAD across three datasets and show evidence suggesting oligogenic variant architecture for this disease.Qian ZhangJulia SidorenkoBaptiste Couvy-DuchesneRiccardo E. MarioniMargaret J. WrightAlison M. GoateEdoardo MarcoraKuan-lin HuangTenielle PorterSimon M. LawsAustralian Imaging Biomarkers and Lifestyle (AIBL) StudyPerminder S. SachdevKaren A. MatherNicola J. ArmstrongAnbupalam ThalamuthuHenry BrodatyLoic YengoJian YangNaomi R. WrayAllan F. McRaePeter M. VisscherNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-11 (2020) |
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Science Q Qian Zhang Julia Sidorenko Baptiste Couvy-Duchesne Riccardo E. Marioni Margaret J. Wright Alison M. Goate Edoardo Marcora Kuan-lin Huang Tenielle Porter Simon M. Laws Australian Imaging Biomarkers and Lifestyle (AIBL) Study Perminder S. Sachdev Karen A. Mather Nicola J. Armstrong Anbupalam Thalamuthu Henry Brodaty Loic Yengo Jian Yang Naomi R. Wray Allan F. McRae Peter M. Visscher Risk prediction of late-onset Alzheimer’s disease implies an oligogenic architecture |
description |
Despite the identification of genetic risk loci for late-onset Alzheimer’s disease (LOAD), the genetic architecture and prediction remains unclear. Here, the authors use genetic risk scores for prediction of LOAD across three datasets and show evidence suggesting oligogenic variant architecture for this disease. |
format |
article |
author |
Qian Zhang Julia Sidorenko Baptiste Couvy-Duchesne Riccardo E. Marioni Margaret J. Wright Alison M. Goate Edoardo Marcora Kuan-lin Huang Tenielle Porter Simon M. Laws Australian Imaging Biomarkers and Lifestyle (AIBL) Study Perminder S. Sachdev Karen A. Mather Nicola J. Armstrong Anbupalam Thalamuthu Henry Brodaty Loic Yengo Jian Yang Naomi R. Wray Allan F. McRae Peter M. Visscher |
author_facet |
Qian Zhang Julia Sidorenko Baptiste Couvy-Duchesne Riccardo E. Marioni Margaret J. Wright Alison M. Goate Edoardo Marcora Kuan-lin Huang Tenielle Porter Simon M. Laws Australian Imaging Biomarkers and Lifestyle (AIBL) Study Perminder S. Sachdev Karen A. Mather Nicola J. Armstrong Anbupalam Thalamuthu Henry Brodaty Loic Yengo Jian Yang Naomi R. Wray Allan F. McRae Peter M. Visscher |
author_sort |
Qian Zhang |
title |
Risk prediction of late-onset Alzheimer’s disease implies an oligogenic architecture |
title_short |
Risk prediction of late-onset Alzheimer’s disease implies an oligogenic architecture |
title_full |
Risk prediction of late-onset Alzheimer’s disease implies an oligogenic architecture |
title_fullStr |
Risk prediction of late-onset Alzheimer’s disease implies an oligogenic architecture |
title_full_unstemmed |
Risk prediction of late-onset Alzheimer’s disease implies an oligogenic architecture |
title_sort |
risk prediction of late-onset alzheimer’s disease implies an oligogenic architecture |
publisher |
Nature Portfolio |
publishDate |
2020 |
url |
https://doaj.org/article/2864aaa787e447968771d91143faf890 |
work_keys_str_mv |
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