Communications Medicine (Apr 2023)
Deep learning-based polygenic risk analysis for Alzheimer’s disease prediction
- 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
Affiliations
- Xiaopu Zhou
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology
- Yu Chen
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology
- Fanny C. F. Ip
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology
- Yuanbing Jiang
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology
- Han Cao
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology
- Ge Lv
- Department of Computer Science and Engineering, The Hong Kong University of Science and Technology
- Huan Zhong
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology
- Jiahang Chen
- Department of Computer Science and Engineering, The Hong Kong University of Science and Technology
- Tao Ye
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology
- Yuewen Chen
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology
- Yulin Zhang
- Guangdong Provincial Key Laboratory of Brain Science, Disease and Drug Development, HKUST Shenzhen Research Institute, Shenzhen–Hong Kong Institute of Brain Science
- Shuangshuang Ma
- Guangdong Provincial Key Laboratory of Brain Science, Disease and Drug Development, HKUST Shenzhen Research Institute, Shenzhen–Hong Kong Institute of Brain Science
- Ronnie M. N. Lo
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology
- Estella P. S. Tong
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology
- Alzheimer’s Disease Neuroimaging Initiative
- Vincent C. T. Mok
- Gerald Choa Neuroscience Centre, Lui Che Woo Institute of Innovative Medicine, Therese Pei Fong Chow Research Centre for Prevention of Dementia, Division of Neurology, Department of Medicine and Therapeutics, The Chinese University of Hong Kong
- Timothy C. Y. Kwok
- Therese Pei Fong Chow Research Centre for Prevention of Dementia, Division of Geriatrics, Department of Medicine and Therapeutics, The Chinese University of Hong Kong
- Qihao Guo
- Department of Gerontology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital
- Kin Y. Mok
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology
- Maryam Shoai
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology
- John Hardy
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong Science Park
- Lei Chen
- Department of Computer Science and Engineering, The Hong Kong University of Science and Technology
- Amy K. Y. Fu
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology
- Nancy Y. Ip
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology
- DOI
- https://doi.org/10.1038/s43856-023-00269-x
- Journal volume & issue
-
Vol. 3,
no. 1
pp. 1 – 20
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.