Analysis of Very Important Pharmacogenomics Variants in the Chinese Lahu Population

Yujing Cheng,1,* Qi Li,1,* Xin Yang,1 Heng Ding,2 Wanlu Chen,1 Run Dai,1 Chan Zhang1 1Department of Blood Transfusion, First People’s Hospital of Yunnan, Kunming City, 650021, Yunnan Province, People’s Republic of China; 2Blood Station of Honghe State Center, Honghe Prefecture City, 661100, Yunnan Province, People’s Republic of China*These authors contributed equally to this workCorrespondence: Chan ZhangFirst People’s Hospital of Yunnan, #157 Jinbi Road, Kunming, Yunnan, 650021, People’s Republic of ChinaEmail zhangchanyzt@163.comBackground: Genetic polymorphism, obviously, has a potential clinical role in determining differences in drug efficacy; however, there are no reports about the pharmacogenomic information of the Lahu population. Therefore, our research aimed to screen the genotypic frequencies of the very important pharmacogenomics (VIP) mutations and determined the differences between Lahu and the other 11 populations.Methods: Agena MassARRAY (AgenaMassARRAY) single nucleotide polymorphism (SNP) genotyping technique was used to detect 81 VIP mutations of pharmacogenomics genes in Lahu, and their genotypic frequencies were compared with the other major 11 populations. Chi-square tests were used to identify different loci among these populations. Finally, the genetic structure and pairwise Fst values of Lahu and the other 11 populations were analyzed.Results: We found that the distribution of allele frequencies within different pharmacogenes in Lahu showed significantly different with other populations. Additionally, the pairwise F-statistics (Fst) values and genetic structure revealed the variants in the Lahu population as well were mostly related to the Han Chinese in Beijing, China (CHB) and the Japanese population in Tokyo, Japan (JPT) genetically.Conclusion: This study will provide a theoretical basis for safe drug use and help to establish the appropriate individualized treatment strategies in the Lahu population.Keywords: pharmacogenomics, population genetics, Lahu population, VIP variants