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Please use this identifier to cite or link to this item: http://scholars.ntou.edu.tw/handle/123456789/26218
Title: The Taiwan Precision Medicine Initiative provides a cohort for large-scale studies
Authors: Yang, Hsin-Chou
Kwok, Pui-Yan
Li, Ling-Hui
Liu, Yi-Min
Jong, Yuh-Jyh
Lee, Kang-Yun
Wang, Da-Wei
Tsai, Ming-Fang
Yang, Jenn-Hwai
Chen, Chien-Hsiun
Yeh, Erh-Chan
Wei, Chun-yu
Fann, Cathy S-J
Huang, Yen-Tsung
Chen, Chia-Wei
Lee, Yi-Ju
Chu, Shih-Kai
Ho, Chih-Hsing
Yang, Cheng-Shin
Lee, Yungling Leo
Chen, Hung-Hsin
Hou, Ming-Chih
Chiou, Jeng-Fong
Yang, Shun-Fa
Wang, Chih-Hung
Huang, Chih-Yang 
Chiu, Kuan-Ming
Chen, Ming 
Chiang, Fu-Tien
Lee, Sing-Lian
Chen, Shiou-Sheng
Yao, Wei-Jen
Chien, Chih-Cheng
Lin, Shih-Yao
Chang, Fu-Pang
Ho, Hsiang-Ling
Yeh, Yi-Chen
Tseng, Wei-Cheng
Lin, Ming-Hwai
Chang, Hsiao-Ting
Tseng, Ling-Ming
Liang, Wen-Yih
Chen, Paul Chih-Hsueh
Hang, Jen-Fan
Lin, Shih-Chieh
Chan, Yu-Jiun
Kuo, Ying-Ju
Wang, Lei-Chi
Pan, Chin-Chen
Hsieh, Yu-Cheng
Chen, Yi-Ming
Hsiao, Tzu-Hung
Lin, Ching-Heng
Chen, Yen-Ju
Chen, I-Chieh
Mao, Chien-Lin
Chang, Shu-Jung
Chang, Yen-Lin
Liao, Yi-Ju
Lai, Chih-Hung
Lee, Wei-Ju
Tung, Hsin
Yen, Ting-Ting
Yen, Hsin-Chien
Shih, Chun-Ming
Chou, Teh-Ying
Liou, Tsan-Hon
Chiang, Chen-Yuan
Cherng, Yih-Giun
Chen, Chih-Hwa
Chiu, Chao-Hua
Tseng, Sung-Hui
Lin, Emily Pei-Ying
Chen, Ying-Ju
Chuang, Hui-Ping
Chen, Tsai-Chuan
Huang, Wei-Ting
Sin, Joey
Liu, I-Ling
Chen, Yi-Chen
Chao, Kuo-Kuang
Wu, Yu-Min
Yu, Pin-Pin
Chang, Lung-Pao
Yen, Kuei-Yao
Chang, Li-Ching
Sheen, Yi-Jing
Chen, Yuan-Tsong
Kan, Kamhon
Tsai, Hsiang-Lin
Wang, Yao-Kuang
Hou, Ming-Feng
Yang, Yuan-Han
Kuo, Chao-Hung
Wu, Wen-Jeng
Huang, Jee-Fu
Chong, Inn-Wen
Tsai, Jong-Rung
Lin, Cheng-Yu
Yu, Ming-Chin
Lee, Tsong-Hai
Tsai, Meng-Han
Ou, Yu-Che
Chen, Pin-Yuan
Hu, Tsung-Hui
Shyu, Yu-Chiau
Cheng, Chih-Kuang
Fang, Yu-Jen
Hsieh, Song-Chou
Chen, Chien-Hung
Chen, Chieh-Chang
Li, Ko-Jen
Lin, Chin-Hsien
Chiu, Hsien-Yi
Wu, Chen-Chi
Chen, Chun-Yen
Chu, Shi-Jye
Liu, Feng-Cheng
Yang, Fu-Chi
Chang, Hsin-An
Chen, Wei-Liang
Yang, Sung-Sen
Sung, Yueh-Feng
Wang, Tso-Fu
Lin, Shinn-Zong
Wu, Yen-Wen
Wu, Chien-Sheng
Jiang, Ju-Ying
Ma, Gwo-Chin
Chang, Ting-Yu
Hwang, Juey-Jen
Kao, Kuo-Jang
Hung, Chen-Fang
Chiu, Ting-Fang
Chen, Po-Yueh
Tsui, Kochung
Wu, Ming-Shiang
Pang, See-Tong
Chen, Shih-Ann
Chen, Wei-Ming
Chen, Chun-houh
Sheu, Wayne Huey-Herng
Wu, Jer-Yuarn
Issue Date: 2025
Publisher: NATURE PORTFOLIO
Journal Volume: 648
Journal Issue: 8092
Start page/Pages: 11
Source: NATURE
Abstract: 
Han Chinese people comprise nearly 20% of the global population but remain under-represented in genetic studies(1,2), so there is an urgent need for large-scale cohorts to advance precision medicine. Here we present the Taiwan Precision Medicine Initiative (TPMI), established by Academia Sinica in collaboration with 16 major medical centres around Taiwan, which has recruited 565,390 participants who consent to provide DNA samples for genetic profiling and grant access to their electronic medical records (EMRs) for research. EMR access is both retrospective and prospective, allowing longitudinal studies. Genetic profiling is done with population-optimized arrays of single-nucleotide polymorphisms for people of Han Chinese ancestry, which enable genome-wide association(3,4), phenome-wide association(5,6) and polygenic risk score(7,8) studies to be performed to evaluate common disease risk and pharmacogenetic response. Participants also agreed to be re-contacted for future research and receive personalized genetic risk profiles with health management recommendations. The TPMI has established the TPMI Data Access Platform, a central database and analysis platform that both safeguards the security of the data and facilitates academic research. As a large cohort of individuals with non-European ancestry that merges genetic profiles with EMR data and enables longitudinal follow-up, TPMI provides a unique resource that could be used to validate genetic risk prediction models, perform clinical trials of risk-based health management and inform health policies. Ultimately, the TPMI cohort will contribute to global genetic research and serve as a model for population-based precision medicine.
URI: http://scholars.ntou.edu.tw/handle/123456789/26218
ISSN: 0028-0836
DOI: 10.1038/s41586-025-09680-x
Appears in Collections:水產養殖學系

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