Hongyan Lu, Zhanhao Zhang, Yuliang Wang, Li Wang, Dongya Yuan, Yongjun He, Tianbo Jin
{"title":"Genetic polymorphisms of very important pharmacogene variants in the Chinese Lisu population.","authors":"Hongyan Lu, Zhanhao Zhang, Yuliang Wang, Li Wang, Dongya Yuan, Yongjun He, Tianbo Jin","doi":"10.2217/pme-2022-0117","DOIUrl":null,"url":null,"abstract":"<p><p><b>Aim:</b> Interindividual and interethnic differences in drug efficacy drive the development and progress of pharmacogenomics and precision medicine. This study was performed to enrich the pharmacogenomic information for the Lisu population from China. <b>Methods:</b> 54 very important pharmacogene variants were selected from PharmGKB and genotyped in 199 Lisu individuals. The genotype distribution data of 26 populations were downloaded from the 1000 Genomes Project and analyzed with the χ<sup>2</sup> test. <b>Results:</b> Among the 26 populations in the 1000 Genomes Project, African Caribbeans in Barbados; Esan in Nigeria; Gambian in Western Divisions, The Gambia; Luhya in Webuye, Kenya; Yoruba in Ibadan; Finnish in Finland; Toscani in Italy and Sri Lankan Tamil in the UK were the top eight nationalities with the most significant differences in genotype distribution from the Lisu population. The loci of <i>CYP3A</i>5 rs776746, <i>KCNH2</i> rs1805123, <i>ACE</i> rs4291, <i>SLC19A1</i> rs1051298 and <i>CYP2D6</i> rs1065852 were significantly different in the Lisu. <b>Conclusion:</b> The results showed that there were substantial differences in SNPs of very important pharmacogene variants, which can provide a theoretical basis for individualized drug use for the Lisu.</p>","PeriodicalId":19753,"journal":{"name":"Personalized medicine","volume":"20 3","pages":"239-249"},"PeriodicalIF":1.7000,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Personalized medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2217/pme-2022-0117","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0
Abstract
Aim: Interindividual and interethnic differences in drug efficacy drive the development and progress of pharmacogenomics and precision medicine. This study was performed to enrich the pharmacogenomic information for the Lisu population from China. Methods: 54 very important pharmacogene variants were selected from PharmGKB and genotyped in 199 Lisu individuals. The genotype distribution data of 26 populations were downloaded from the 1000 Genomes Project and analyzed with the χ2 test. Results: Among the 26 populations in the 1000 Genomes Project, African Caribbeans in Barbados; Esan in Nigeria; Gambian in Western Divisions, The Gambia; Luhya in Webuye, Kenya; Yoruba in Ibadan; Finnish in Finland; Toscani in Italy and Sri Lankan Tamil in the UK were the top eight nationalities with the most significant differences in genotype distribution from the Lisu population. The loci of CYP3A5 rs776746, KCNH2 rs1805123, ACE rs4291, SLC19A1 rs1051298 and CYP2D6 rs1065852 were significantly different in the Lisu. Conclusion: The results showed that there were substantial differences in SNPs of very important pharmacogene variants, which can provide a theoretical basis for individualized drug use for the Lisu.
期刊介绍:
Personalized Medicine (ISSN 1741-0541) translates recent genomic, genetic and proteomic advances into the clinical context. The journal provides an integrated forum for all players involved - academic and clinical researchers, pharmaceutical companies, regulatory authorities, healthcare management organizations, patient organizations and others in the healthcare community. Personalized Medicine assists these parties to shape thefuture of medicine by providing a platform for expert commentary and analysis.
The journal addresses scientific, commercial and policy issues in the field of precision medicine and includes news and views, current awareness regarding new biomarkers, concise commentary and analysis, reports from the conference circuit and full review articles.