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Genetic analysis of pharmacogenomic VIP variants in the Wa population from Yunnan Province of China

BACKGROUND: The variation of drug responses and target does among individuals is mostly determined by genes. With the development of pharmacogenetics and pharmacogenomics, the differences in drug response between different races seem to be mainly caused by the genetic diversity of pharmacodynamics a...

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Autores principales: Li, Dandan, Peng, Linna, Xing, Shishi, He, Chunjuan, Jin, Tianbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8605568/
https://www.ncbi.nlm.nih.gov/pubmed/34798807
http://dx.doi.org/10.1186/s12863-021-00999-8
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author Li, Dandan
Peng, Linna
Xing, Shishi
He, Chunjuan
Jin, Tianbo
author_facet Li, Dandan
Peng, Linna
Xing, Shishi
He, Chunjuan
Jin, Tianbo
author_sort Li, Dandan
collection PubMed
description BACKGROUND: The variation of drug responses and target does among individuals is mostly determined by genes. With the development of pharmacogenetics and pharmacogenomics, the differences in drug response between different races seem to be mainly caused by the genetic diversity of pharmacodynamics and pharmacokinetics genes. Very important pharmacogenetic (VIP) variants mean that genes or variants play important and vital roles in drug response, which have been listed in pharmacogenomics databases, such as Pharmacogenomics Knowledge Base (PharmGKB). The information of Chinese ethnic minorities such as the Wa ethnic group is scarce. This study aimed to uncover the significantly different loci in the Wa population in Yunnan Province of China from the perspective of pharmacogenomics, to provide a theoretical basis for the future medication guidance, and to ultimately achieve the best treatment in the future. RESULTS: In this study, we recruited 200 unrelated healthy Wa adults from the Yunnan province of China, selected 52 VIP variants from the PharmGKB for genotyping. We also compared the genotype frequency and allele distribution of VIP variants between Wa population and the other 26 populations from the 1000 Genomes Project (http://www.1000Genomes.org/). Next, χ(2) test was used to determine the significant points between these populations. The study results showed that compared with the other 26 population groups, five variants rs776746 (CYP3A5), rs4291 (ACE), rs3093105 (CYP4F2), rs1051298 (SLC19A1), and rs1065852 (CYP2D6) had higher frequencies in the Wa population. The genotype frequencies rs4291-TA, rs3093105-CA, rs1051298-AG and rs1065852-GA were higher than those of the other populations, and the allele distributions of rs4291-T and rs3093105-C were significantly different. Additionally, the difference between the Wa ethnic group and East Asian populations, such as CDX, CHB, and CHS, was the smallest. CONCLUSIONS: Our research results show that there is a significant difference in the distribution of VIP variants between the Wa ethnic group and the other 26 populations. The study results will have an effect on supplementing the pharmacogenomics information for the Wa population and providing a theoretical basis for individualised medication for the Wa population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12863-021-00999-8.
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spelling pubmed-86055682021-11-22 Genetic analysis of pharmacogenomic VIP variants in the Wa population from Yunnan Province of China Li, Dandan Peng, Linna Xing, Shishi He, Chunjuan Jin, Tianbo BMC Genom Data Research BACKGROUND: The variation of drug responses and target does among individuals is mostly determined by genes. With the development of pharmacogenetics and pharmacogenomics, the differences in drug response between different races seem to be mainly caused by the genetic diversity of pharmacodynamics and pharmacokinetics genes. Very important pharmacogenetic (VIP) variants mean that genes or variants play important and vital roles in drug response, which have been listed in pharmacogenomics databases, such as Pharmacogenomics Knowledge Base (PharmGKB). The information of Chinese ethnic minorities such as the Wa ethnic group is scarce. This study aimed to uncover the significantly different loci in the Wa population in Yunnan Province of China from the perspective of pharmacogenomics, to provide a theoretical basis for the future medication guidance, and to ultimately achieve the best treatment in the future. RESULTS: In this study, we recruited 200 unrelated healthy Wa adults from the Yunnan province of China, selected 52 VIP variants from the PharmGKB for genotyping. We also compared the genotype frequency and allele distribution of VIP variants between Wa population and the other 26 populations from the 1000 Genomes Project (http://www.1000Genomes.org/). Next, χ(2) test was used to determine the significant points between these populations. The study results showed that compared with the other 26 population groups, five variants rs776746 (CYP3A5), rs4291 (ACE), rs3093105 (CYP4F2), rs1051298 (SLC19A1), and rs1065852 (CYP2D6) had higher frequencies in the Wa population. The genotype frequencies rs4291-TA, rs3093105-CA, rs1051298-AG and rs1065852-GA were higher than those of the other populations, and the allele distributions of rs4291-T and rs3093105-C were significantly different. Additionally, the difference between the Wa ethnic group and East Asian populations, such as CDX, CHB, and CHS, was the smallest. CONCLUSIONS: Our research results show that there is a significant difference in the distribution of VIP variants between the Wa ethnic group and the other 26 populations. The study results will have an effect on supplementing the pharmacogenomics information for the Wa population and providing a theoretical basis for individualised medication for the Wa population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12863-021-00999-8. BioMed Central 2021-11-19 /pmc/articles/PMC8605568/ /pubmed/34798807 http://dx.doi.org/10.1186/s12863-021-00999-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Li, Dandan
Peng, Linna
Xing, Shishi
He, Chunjuan
Jin, Tianbo
Genetic analysis of pharmacogenomic VIP variants in the Wa population from Yunnan Province of China
title Genetic analysis of pharmacogenomic VIP variants in the Wa population from Yunnan Province of China
title_full Genetic analysis of pharmacogenomic VIP variants in the Wa population from Yunnan Province of China
title_fullStr Genetic analysis of pharmacogenomic VIP variants in the Wa population from Yunnan Province of China
title_full_unstemmed Genetic analysis of pharmacogenomic VIP variants in the Wa population from Yunnan Province of China
title_short Genetic analysis of pharmacogenomic VIP variants in the Wa population from Yunnan Province of China
title_sort genetic analysis of pharmacogenomic vip variants in the wa population from yunnan province of china
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8605568/
https://www.ncbi.nlm.nih.gov/pubmed/34798807
http://dx.doi.org/10.1186/s12863-021-00999-8
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