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. 2025 Oct 15.
doi: 10.1038/s41586-025-09680-x. Online ahead of print.

The Taiwan Precision Medicine Initiative provides a cohort for large-scale studies

Hsin-Chou Yang #  1   2 Pui-Yan Kwok #  3   4 Ling-Hui Li #  5 Yi-Min Liu #  5 Yuh-Jyh Jong #  6   7   8 Kang-Yun Lee #  9   10 Da-Wei Wang  11 Ming-Fang Tsai  5 Jenn-Hwai Yang  12 Chien-Hsiun Chen  5 Erh-Chan Yeh  5 Chun-Yu Wei  5   13 Cathy S-J Fann  5 Yen-Tsung Huang  12   14   15 Chia-Wei Chen  12 Yi-Ju Lee  12 Shih-Kai Chu  12   16 Chih-Hsing Ho  17 Cheng-Shin Yang  5 Yungling Leo Lee  5 Hung-Hsin Chen  5 Ming-Chih Hou  18 Jeng-Fong Chiou  19   20 Shun-Fa Yang  21   22 Chih-Hung Wang  23   24 Chih-Yang Huang  25   26 Kuan-Ming Chiu  27   28 Ming Chen  29 Fu-Tien Chiang  30   31 Sing-Lian Lee  32 Shiou-Sheng Chen  33   34   35 Wei-Jen Yao  36 Chih-Cheng Chien  37   38 Shih-Yao Lin  39   40 Fu-Pang Chang  39 Hsiang-Ling Ho  39   41 Yi-Chen Yeh  39   40 Wei-Cheng Tseng  42   43   44 Ming-Hwai Lin  45 Hsiao-Ting Chang  43   45 Ling-Ming Tseng  40   46   47 Wen-Yih Liang  39 Paul Chih-Hsueh Chen  39 Jen-Fan Hang  39   40   48 Shih-Chieh Lin  39 Yu-Jiun Chan  39   49   50 Ying-Ju Kuo  39 Lei-Chi Wang  39   40 Chin-Chen Pan  39 Yu-Cheng Hsieh  48   51   52 Yi-Ming Chen  51   52 Tzu-Hung Hsiao  51 Ching-Heng Lin  51 Yen-Ju Chen  51 I-Chieh Chen  51 Chien-Lin Mao  51 Shu-Jung Chang  51 Yen-Lin Chang  53 Yi-Ju Liao  53 Chih-Hung Lai  54 Wei-Ju Lee  52   55 Hsin Tung  52   55 Ting-Ting Yen  56 Hsin-Chien Yen  57 Chun-Ming Shih  9   58   59 Teh-Ying Chou  60   61 Tsan-Hon Liou  62   63 Chen-Yuan Chiang  64   65 Yih-Giun Cherng  66   67 Chih-Hwa Chen  68   69   70 Chao-Hua Chiu  9   71 Sung-Hui Tseng  70   72 Emily Pei-Ying Lin  71   73   74 Ying-Ju Chen  5 Hui-Ping Chuang  5 Tsai-Chuan Chen  5 Wei-Ting Huang  5 Joey Sin  5 I-Ling Liu  5 Yi-Chen Chen  5 Kuo-Kuang Chao  5 Yu-Min Wu  5 Pin-Pin Yu  5 Lung-Pao Chang  5 Kuei-Yao Yen  5 Li-Ching Chang  5 Yi-Jing Sheen  75   76   77 Yuan-Tsong Chen  5 Kamhon Kan  78 Hsiang-Lin Tsai  79 Yao-Kuang Wang  80   81 Ming-Feng Hou  82 Yuan-Han Yang  83 Chao-Hung Kuo  81   84 Wen-Jeng Wu  85 Jee-Fu Huang  86   87   88 Inn-Wen Chong  8   89 Jong-Rung Tsai  90   91 Cheng-Yu Lin  92 Ming-Chin Yu  93 Tsong-Hai Lee  94   95 Meng-Han Tsai  96   97 Yu-Che Ou  98 Pin-Yuan Chen  96   99 Tsung-Hui Hu  100   101 Yu-Chiau Shyu  102   103 Chih-Kuang Cheng  48   104 Yu-Jen Fang  105   106 Song-Chou Hsieh  107 Chien-Hung Chen  105   108   109 Chieh-Chang Chen  110   111 Ko-Jen Li  107 Chin-Hsien Lin  112 Hsien-Yi Chiu  113 Chen-Chi Wu  113 Chun-Yen Chen  114 Shi-Jye Chu  115 Feng-Cheng Liu  115 Fu-Chi Yang  116 Hsin-An Chang  114 Wei-Liang Chen  117 Sung-Sen Yang  118 Yueh-Feng Sung  116 Tso-Fu Wang  119   120 Shinn-Zong Lin  121   122 Yen-Wen Wu  40   123   124 Chien-Sheng Wu  125   126 Ju-Ying Jiang  127 Gwo-Chin Ma  29 Ting-Yu Chang  29 Juey-Jen Hwang  30   31 Kuo-Jang Kao  128 Chen-Fang Hung  128 Ting-Fang Chiu  129   130   131 Po-Yueh Chen  132   133 Kochung Tsui  37   134   135 Ming-Shiang Wu  105   108 See-Tong Pang  96   136 Shih-Ann Chen  77   137   138 Wei-Ming Chen  139 Chun-Houh Chen  12 Wayne Huey-Herng Sheu  75   140   141 Jer-Yuarn Wu  142
Affiliations

The Taiwan Precision Medicine Initiative provides a cohort for large-scale studies

Hsin-Chou Yang et al. Nature. .

Abstract

Han Chinese comprise nearly 20% of the global population yet remain underrepresented in genetic studies 1,2, creating an urgent need for large-scale cohorts to advance precision medicine. Here, we present the Taiwan Precision Medicine Initiative (TPMI), initiated by Academia Sinica in collaboration with 16 major medical centers around Taiwan, which has recruited 565,390 participants who consented to provide DNA samples for genetic profiling and grant access to their electronic medical records (EMR) for research. EMR access is both retrospective and prospective, allowing longitudinal studies. Genetic profiling is done with population-optimized SNP arrays for those of Han Chinese ancestry that enable genome-wide association 3,4, phenome-wide association 5,6, and polygenic risk score 7,8 studies to evaluate common disease risk and pharmacogenetic response. Participants also agree to be recontacted for future research and receive personalized genetic risk profiles with health management recommendations. TPMI has established the TPMI Data Access Platform (TDAP), a central database and analysis platform that both safeguards the security of the data and facilitates academic research. As a large non-European ancestry cohort that merges genetic profiles with EMR and enables longitudinal follow-up, TPMI provides a unique resource to validate genetic risk prediction models, conduct 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.

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