Deep learning-based polygenic risk analysis for Alzheimer’s disease prediction

BACKGROUND: The polygenic nature of Alzheimer’s disease (AD) suggests that multiple variants jointly contribute to disease susceptibility. As an individual’s genetic variants are constant throughout life, evaluating the combined effects of multiple disease-associated genetic risks enables reliable A...

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Detalles Bibliográficos
Autores principales: Zhou, Xiaopu, Chen, Yu, Ip, Fanny C. F., Jiang, Yuanbing, Cao, Han, Lv, Ge, Zhong, Huan, Chen, Jiahang, Ye, Tao, Chen, Yuewen, Zhang, Yulin, Ma, Shuangshuang, Lo, Ronnie M. N., Tong, Estella P. S., Mok, Vincent C. T., Kwok, Timothy C. Y., Guo, Qihao, Mok, Kin Y., Shoai, Maryam, Hardy, John, Chen, Lei, Fu, Amy K. Y., Ip, Nancy Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079691/
https://www.ncbi.nlm.nih.gov/pubmed/37024668
http://dx.doi.org/10.1038/s43856-023-00269-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079691/
https://www.ncbi.nlm.nih.gov/pubmed/37024668
http://dx.doi.org/10.1038/s43856-023-00269-x

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