Back to Search Start Over

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

Authors :
Xiaopu Zhou
Yu Chen
Fanny C. F. Ip
Yuanbing Jiang
Han Cao
Ge Lv
Huan Zhong
Jiahang Chen
Tao Ye
Yuewen Chen
Yulin Zhang
Shuangshuang Ma
Ronnie M. N. Lo
Estella P. S. Tong
Alzheimer’s Disease Neuroimaging Initiative
Vincent C. T. Mok
Timothy C. Y. Kwok
Qihao Guo
Kin Y. Mok
Maryam Shoai
John Hardy
Lei Chen
Amy K. Y. Fu
Nancy Y. Ip
Source :
Communications Medicine, Vol 3, Iss 1, Pp 1-20 (2023)
Publication Year :
2023
Publisher :
Nature Portfolio, 2023.

Abstract

Zhou et al. utilise deep learning to improve polygenic risk analysis for Alzheimer’s disease. Their computational approach outperforms existing statistical methods and helps to identify potential biological mechanisms of Alzheimer’s disease risk.

Subjects

Subjects :
Medicine

Details

Language :
English
ISSN :
2730664X
Volume :
3
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Communications Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.1179b0a6657942b580123646d3f1699e
Document Type :
article
Full Text :
https://doi.org/10.1038/s43856-023-00269-x