Cargando…

Analysis of Very Important Pharmacogenomics Variants in the Chinese Lahu Population

BACKGROUND: 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...

Descripción completa

Detalles Bibliográficos
Autores principales: Cheng, Yujing, Li, Qi, Yang, Xin, Ding, Heng, Chen, Wanlu, Dai, Run, Zhang, Chan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8493477/
https://www.ncbi.nlm.nih.gov/pubmed/34629888
http://dx.doi.org/10.2147/PGPM.S324410
_version_ 1784579121977753600
author Cheng, Yujing
Li, Qi
Yang, Xin
Ding, Heng
Chen, Wanlu
Dai, Run
Zhang, Chan
author_facet Cheng, Yujing
Li, Qi
Yang, Xin
Ding, Heng
Chen, Wanlu
Dai, Run
Zhang, Chan
author_sort Cheng, Yujing
collection PubMed
description BACKGROUND: 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.
format Online
Article
Text
id pubmed-8493477
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Dove
record_format MEDLINE/PubMed
spelling pubmed-84934772021-10-07 Analysis of Very Important Pharmacogenomics Variants in the Chinese Lahu Population Cheng, Yujing Li, Qi Yang, Xin Ding, Heng Chen, Wanlu Dai, Run Zhang, Chan Pharmgenomics Pers Med Original Research BACKGROUND: 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. Dove 2021-10-01 /pmc/articles/PMC8493477/ /pubmed/34629888 http://dx.doi.org/10.2147/PGPM.S324410 Text en © 2021 Cheng et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Cheng, Yujing
Li, Qi
Yang, Xin
Ding, Heng
Chen, Wanlu
Dai, Run
Zhang, Chan
Analysis of Very Important Pharmacogenomics Variants in the Chinese Lahu Population
title Analysis of Very Important Pharmacogenomics Variants in the Chinese Lahu Population
title_full Analysis of Very Important Pharmacogenomics Variants in the Chinese Lahu Population
title_fullStr Analysis of Very Important Pharmacogenomics Variants in the Chinese Lahu Population
title_full_unstemmed Analysis of Very Important Pharmacogenomics Variants in the Chinese Lahu Population
title_short Analysis of Very Important Pharmacogenomics Variants in the Chinese Lahu Population
title_sort analysis of very important pharmacogenomics variants in the chinese lahu population
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8493477/
https://www.ncbi.nlm.nih.gov/pubmed/34629888
http://dx.doi.org/10.2147/PGPM.S324410
work_keys_str_mv AT chengyujing analysisofveryimportantpharmacogenomicsvariantsinthechineselahupopulation
AT liqi analysisofveryimportantpharmacogenomicsvariantsinthechineselahupopulation
AT yangxin analysisofveryimportantpharmacogenomicsvariantsinthechineselahupopulation
AT dingheng analysisofveryimportantpharmacogenomicsvariantsinthechineselahupopulation
AT chenwanlu analysisofveryimportantpharmacogenomicsvariantsinthechineselahupopulation
AT dairun analysisofveryimportantpharmacogenomicsvariantsinthechineselahupopulation
AT zhangchan analysisofveryimportantpharmacogenomicsvariantsinthechineselahupopulation