Lei-Yun Wang, Bing Yu, Ying Peng, Kai Mou, Yan Zhan, Yi-Min Wang, Wei Ji, Chun Xu, Le-Dong Xiao, Yan Chen, Hua Wang, Zhi-Hua She, Peng Dai, Gan-Ye Zhao, Yang Wang, Lu-Lu Yu, Miao Yu, Ke Liu, Jia-Jia Cui, Rong Liu, Xi Li, Yuan-Fei Huang, Zhao-Qian Liu, Dong-Sheng Ouyang, Wei Zhang, Qing Li, Xing-Liang Xiong, Cheng-Xian Guo, Jin-Gao Li, Qiao-Li Lv, Qing-He Xing, Hai-Jian Wang, Zhi-Ling Li, Ji-Chu Wu, Long-Jian Huang, Jian He, Li-Ming Tan, Wen-Xu Hong, Xue-Chang Wang, Chao-Peng Li, Qin Lu, Long Zhang, Xiang-Dong Kong, Hong-Hao Zhou, Ji-Ye Yin
{"title":"The pharmacogenomic landscape in the Chinese: An analytics of pharmacogenetic variants in 206,640 individuals.","authors":"Lei-Yun Wang, Bing Yu, Ying Peng, Kai Mou, Yan Zhan, Yi-Min Wang, Wei Ji, Chun Xu, Le-Dong Xiao, Yan Chen, Hua Wang, Zhi-Hua She, Peng Dai, Gan-Ye Zhao, Yang Wang, Lu-Lu Yu, Miao Yu, Ke Liu, Jia-Jia Cui, Rong Liu, Xi Li, Yuan-Fei Huang, Zhao-Qian Liu, Dong-Sheng Ouyang, Wei Zhang, Qing Li, Xing-Liang Xiong, Cheng-Xian Guo, Jin-Gao Li, Qiao-Li Lv, Qing-He Xing, Hai-Jian Wang, Zhi-Ling Li, Ji-Chu Wu, Long-Jian Huang, Jian He, Li-Ming Tan, Wen-Xu Hong, Xue-Chang Wang, Chao-Peng Li, Qin Lu, Long Zhang, Xiang-Dong Kong, Hong-Hao Zhou, Ji-Ye Yin","doi":"10.1016/j.xinn.2024.100773","DOIUrl":null,"url":null,"abstract":"<p><p>Pharmacogenomic landscapes and related databases are important for identifying the biomarkers of drug response and toxicity. However, these data are still lacking for the Chinese population. In this study, we constructed a pharmacogenomic landscape and an associated database using whole-genome sequencing data generated by non-invasive prenatal testing in 206,640 Chinese individuals. In total, 1,577,513 variants (including 331,610 novel variants) were identified among 3,538 pharmacogenes related to 2,086 drugs. We found that the variant spectrum in the Chinese population differed among the seven major regions. Regional differences also exist among provinces in China. The average numbers of drug enzyme, transporter, and receptor variants were 258, 557, and 632, respectively. Subsequent correlation analysis indicated that the pharmacogenes affecting multiple drugs had fewer variants. Among the 16 categories of drugs, we found that nervous system, cardiovascular system, and genitourinary system/sex hormone drugs were more likely to be affected by variants of pharmacogenes. Characteristics of the variants in the enzyme, transporter, and receptor subfamilies showed specificity. To explore the clinical utility of these data, a genetic association study was conducted on 1,019 lung cancer patients. Two novel variants, <i>AKT2</i> chr19:40770621 C>G and <i>SLC19A1</i> chr21:46934171 A>C, were identified as novel platinum response biomarkers. Finally, a pharmacogenomic database, named the Chinese Pharmacogenomic Knowledge Base (CNPKB: http://www.cnpkb.com.cn/), was constructed to collect all the data. In summary, a pharmacogenomic landscape and database for the Chinese population were constructed in this study, which could support personalized Chinese medicine in the future.</p>","PeriodicalId":36121,"journal":{"name":"The Innovation","volume":"6 2","pages":"100773"},"PeriodicalIF":33.2000,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11846038/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Innovation","FirstCategoryId":"95","ListUrlMain":"https://doi.org/10.1016/j.xinn.2024.100773","RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/3 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Pharmacogenomic landscapes and related databases are important for identifying the biomarkers of drug response and toxicity. However, these data are still lacking for the Chinese population. In this study, we constructed a pharmacogenomic landscape and an associated database using whole-genome sequencing data generated by non-invasive prenatal testing in 206,640 Chinese individuals. In total, 1,577,513 variants (including 331,610 novel variants) were identified among 3,538 pharmacogenes related to 2,086 drugs. We found that the variant spectrum in the Chinese population differed among the seven major regions. Regional differences also exist among provinces in China. The average numbers of drug enzyme, transporter, and receptor variants were 258, 557, and 632, respectively. Subsequent correlation analysis indicated that the pharmacogenes affecting multiple drugs had fewer variants. Among the 16 categories of drugs, we found that nervous system, cardiovascular system, and genitourinary system/sex hormone drugs were more likely to be affected by variants of pharmacogenes. Characteristics of the variants in the enzyme, transporter, and receptor subfamilies showed specificity. To explore the clinical utility of these data, a genetic association study was conducted on 1,019 lung cancer patients. Two novel variants, AKT2 chr19:40770621 C>G and SLC19A1 chr21:46934171 A>C, were identified as novel platinum response biomarkers. Finally, a pharmacogenomic database, named the Chinese Pharmacogenomic Knowledge Base (CNPKB: http://www.cnpkb.com.cn/), was constructed to collect all the data. In summary, a pharmacogenomic landscape and database for the Chinese population were constructed in this study, which could support personalized Chinese medicine in the future.
期刊介绍:
The Innovation is an interdisciplinary journal that aims to promote scientific application. It publishes cutting-edge research and high-quality reviews in various scientific disciplines, including physics, chemistry, materials, nanotechnology, biology, translational medicine, geoscience, and engineering. The journal adheres to the peer review and publishing standards of Cell Press journals.
The Innovation is committed to serving scientists and the public. It aims to publish significant advances promptly and provides a transparent exchange platform. The journal also strives to efficiently promote the translation from scientific discovery to technological achievements and rapidly disseminate scientific findings worldwide.
Indexed in the following databases, The Innovation has visibility in Scopus, Directory of Open Access Journals (DOAJ), Web of Science, Emerging Sources Citation Index (ESCI), PubMed Central, Compendex (previously Ei index), INSPEC, and CABI A&I.