Risk prediction of late-onset Alzheimer’s disease implies an oligogenic architecture

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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Autores principales: 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
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
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Science
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Acceso en línea:https://doaj.org/article/2864aaa787e447968771d91143faf890
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https://doaj.org/article/2864aaa787e447968771d91143faf890

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