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Population genetic difference of pharmacogenomic VIP gene variants in the Lisu population from Yunnan Province

Individual differences in drug clinical response are related to pharmacogenomics. The genetic variation of drug-metabolizing enzymes, drug receptors, and their downstream protein genes is the main factor causing individual differences in drug response. The genetic backgrounds among different ethnic...

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Autores principales: Zhang, Chan, Jiang, Xiaochun, Chen, Wanlu, Li, Qi, Yun, Fubin, Yang, Xin, Dai, Run, Cheng, Yujing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6314765/
https://www.ncbi.nlm.nih.gov/pubmed/30593137
http://dx.doi.org/10.1097/MD.0000000000013674
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author Zhang, Chan
Jiang, Xiaochun
Chen, Wanlu
Li, Qi
Yun, Fubin
Yang, Xin
Dai, Run
Cheng, Yujing
author_facet Zhang, Chan
Jiang, Xiaochun
Chen, Wanlu
Li, Qi
Yun, Fubin
Yang, Xin
Dai, Run
Cheng, Yujing
author_sort Zhang, Chan
collection PubMed
description Individual differences in drug clinical response are related to pharmacogenomics. The genetic variation of drug-metabolizing enzymes, drug receptors, and their downstream protein genes is the main factor causing individual differences in drug response. The genetic backgrounds among different ethnic groups are quite different. In this study, we aimed to detect the distribution difference of genotype frequency in very important pharmacogenetic (VIP) gene variants in the Lisu. Using the chi-squared test, we compared the genotype frequencies of the VIP variants in 105 Lisu people with those in 26 populations from the 1000 Genome project separately. Bonferroni's multiple adjustment was also conducted (P < .05/(26∗49)). Moreover, Arlequin v3.5 and Structure v2.3.4 software were used to analyze the genetic distance and genetic structure. There were 9, 9, 11, 12, 11, 11, 9, 17, 13, 13, 16, 5, 3, 5, 3, 4, 17, 14, 16, 17, 16, 10, 13, 12, 10, and 9 single nucleotide polymorphisms that differed in frequency distribution, when Lisu people compared with the 26 populations separately. Only CYP2E1 rs2070676 was different in the Lisu population compared with the 26 groups from the 1000 Genome project. PTGS2 rs5275 and CYP2D6 rs1065852 were different in the Lisu population compared with most of the populations. Additionally, genetic backgrounds of Lisu and Han Chinese in Beijing were closest according to the lowest F-statistics value and resemblance in genetic structures. Our results complete the information of the Lisu population in pharmacogenomics database.
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spelling pubmed-63147652019-01-14 Population genetic difference of pharmacogenomic VIP gene variants in the Lisu population from Yunnan Province Zhang, Chan Jiang, Xiaochun Chen, Wanlu Li, Qi Yun, Fubin Yang, Xin Dai, Run Cheng, Yujing Medicine (Baltimore) Research Article Individual differences in drug clinical response are related to pharmacogenomics. The genetic variation of drug-metabolizing enzymes, drug receptors, and their downstream protein genes is the main factor causing individual differences in drug response. The genetic backgrounds among different ethnic groups are quite different. In this study, we aimed to detect the distribution difference of genotype frequency in very important pharmacogenetic (VIP) gene variants in the Lisu. Using the chi-squared test, we compared the genotype frequencies of the VIP variants in 105 Lisu people with those in 26 populations from the 1000 Genome project separately. Bonferroni's multiple adjustment was also conducted (P < .05/(26∗49)). Moreover, Arlequin v3.5 and Structure v2.3.4 software were used to analyze the genetic distance and genetic structure. There were 9, 9, 11, 12, 11, 11, 9, 17, 13, 13, 16, 5, 3, 5, 3, 4, 17, 14, 16, 17, 16, 10, 13, 12, 10, and 9 single nucleotide polymorphisms that differed in frequency distribution, when Lisu people compared with the 26 populations separately. Only CYP2E1 rs2070676 was different in the Lisu population compared with the 26 groups from the 1000 Genome project. PTGS2 rs5275 and CYP2D6 rs1065852 were different in the Lisu population compared with most of the populations. Additionally, genetic backgrounds of Lisu and Han Chinese in Beijing were closest according to the lowest F-statistics value and resemblance in genetic structures. Our results complete the information of the Lisu population in pharmacogenomics database. Wolters Kluwer Health 2018-12-28 /pmc/articles/PMC6314765/ /pubmed/30593137 http://dx.doi.org/10.1097/MD.0000000000013674 Text en Copyright © 2018 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0
spellingShingle Research Article
Zhang, Chan
Jiang, Xiaochun
Chen, Wanlu
Li, Qi
Yun, Fubin
Yang, Xin
Dai, Run
Cheng, Yujing
Population genetic difference of pharmacogenomic VIP gene variants in the Lisu population from Yunnan Province
title Population genetic difference of pharmacogenomic VIP gene variants in the Lisu population from Yunnan Province
title_full Population genetic difference of pharmacogenomic VIP gene variants in the Lisu population from Yunnan Province
title_fullStr Population genetic difference of pharmacogenomic VIP gene variants in the Lisu population from Yunnan Province
title_full_unstemmed Population genetic difference of pharmacogenomic VIP gene variants in the Lisu population from Yunnan Province
title_short Population genetic difference of pharmacogenomic VIP gene variants in the Lisu population from Yunnan Province
title_sort population genetic difference of pharmacogenomic vip gene variants in the lisu population from yunnan province
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6314765/
https://www.ncbi.nlm.nih.gov/pubmed/30593137
http://dx.doi.org/10.1097/MD.0000000000013674
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