Clinical impact of pharmacogenetic risk variants in a large chinese cohort

Chun Yu Wei, Ming Shien Wen, Chih Kuang Cheng, Yi Jing Sheen, Tsung Chieh Yao, Sing Lian Lee, Jer Yuarn Wu, Ming Fang Tsai, Ling Hui Li, Chun Houh Chen, Cathy S.J. Fann, Hsin Chou Yang, Yen Tsung Huang, Hung Hsin Chen, Yi Min Liu, Erh Chan Yeh, Yu Ching Peng, Shuu Jiun Wang, Shih Pin Chen, Ming Tsun TsaiTeh Ia Huo, Chien Wei Su, Der Cherng Tarng, Chin Chou Huang, Jong Ling Fuh, Keng Hsin Lan, Yo Tsen Liu, Ching Liang Lu, Yi Chung Lee, Yi Hsiang Huang, Chung Pin Li, Yen Feng Wang, Yu Cheng Hsieh, Yi Ming Chen, Tzu Hung Hsiao, Ching Heng Lin, Yen Ju Chen, I. Chieh Chen, Chien Lin Mao, Shu Jung Chang, Yen Lin Chang, Yi Ju Liao, Chih Hung Lai, Wei Ju Lee, Hsin Tung, Ting Ting Yen, Hsin Chien Yen, Jer Hwa Chang, Chun Yao Huang, Lung Chan, Yung Wei Lin, Bu Yuan Hsiao, Chaur Jong Hu, Yung Kuo Lin, Yung Feng Lin, Tung Cheng Chang, Deng Chyang Wu, Jung Yu Kan, Chung Yao Hsu, Szu Chia Chen, Ching Chia Li, Chung Feng Huang, Chau Chyun Sheu, Lii Jia Yang, Chung Hwan Chen, Kuan Mao Chen, Shu Min Chang, Min Shiuan Liou, Shi Ping Wang, Kuan Ting Lin, Hui Ping Chuang, Ying Ju Chen, Joey Sin, Ying Ting Chen, Chiung Chih Chang, Chang Fu Kuo, Jing Chi Lin, Ho Chang Kuo, Tien Min Chan, Chao Wei Lee, Jenn Haung Lai, Shue Fen Luo, Hao Tsai Cheng, Lian Yu Lin, Li Chun Chang, Chia Ti Tsai, Hsien Li Kao, Jian Jyun Yu, Jiann Shing Jeng, Min Chin Chiu, Tzu Chan Hong, Shun Fa Yang, Hsueh Ju Lu, Sheng Chiang Su, Pauling Chu, Peng Fei Li, Chia Lin Tsai, Chia Kuang Tsai, Shih En Tang, Chien Ming Lin, Yung Fu Wu, Chih Yang Huang, Shinn Zong Ling, Chun Chun Chang, Tzu Kai Lin, Sheng Mou Hsiao, Chih Hung Chang, Chih Dao Chen, Gwo Chin Ma, Ting Yu Chang, Juey Jen Hwang, Chien Lin Lu, Kuo Jang Kao, Chen Fang Hung, Shiou Sheng Chen, Po Yueh Chen, Kochung Tsui, Yuan Tsong Chen, Chien Hsiun Chen, Chih Cheng Chien, Han Sun Chiang, Yen Ling Chiu, Hsiang Cheng Chen, Pui Yan Kwok

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Incorporating pharmacogenetics into clinical practice promises to improve therapeutic outcomes by optimizing drug selection and dosage based on genetic factors affecting drug response. A key advantage of PGx-guided therapy is to decrease the likelihood of adverse events. To evaluate the clinical impact of PGx risk variants, we performed a retrospective study using genetic and clinical data from the largest Han Chinese cohort, comprising 486,956 individuals, assembled by the Taiwan Precision Medicine Initiative. We found that nearly all participants carried at least one genetic variant that could affect drug response, with many carrying multiple risk variants. Here we show the detailed analyses of four gene-drug pairs, azathioprine (NUDT15/TPMT), clopidogrel (CYP2C19), statins (ABCG2/CYP2C9/SLCO1B1), and NSAIDs (CYP2C9), for which sufficient data exists for statistical power. While the results validate previous findings that PGx risk variants are significantly associated with drug-related adverse events or ineffectiveness, the excess risk of adverse events or lack of efficacy is small compared to that found in those without the PGx risk variants, and most patients with PGx variants do not suffer from adverse events. Our results point to the complexity of implementing PGx in clinical practice and the need for integrative approaches to optimize precision medicine.

Original languageEnglish
Article number6344
JournalNature Communications
Volume16
Issue number1
DOIs
Publication statusPublished - Dec 2025

ASJC Scopus subject areas

  • General Chemistry
  • General Biochemistry,Genetics and Molecular Biology
  • General
  • General Physics and Astronomy

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