Genetic polymorphisms of pharmacogenomic VIP variants in the Yi population from China

Yan, Mengdan; Li, Dian-Zhen; Zhao, Guige; Li, Jing; Niu, Fanglin; Li, Bin; Chen, Peng; Jin, Tianbo

doi:10.1016/j.gene.2018.01.040

Cited by 8 publications

(4 citation statements)

References 33 publications

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“…Each link refers to a co-mention between these two terms in a PubMed Abstract. None of them [57, 58] shows a direct interaction between these molecules. All these results suggest that there is no direct interaction between the drug targets reported in the literature.…”

Section: Resultsmentioning

confidence: 99%

Drugs modulating stochastic gene expression affect the erythroid differentiation process

et al. 2019

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To better understand the mechanisms behind cells decision-making to differentiate, we assessed the influence of stochastic gene expression (SGE) modulation on the erythroid differentiation process. It has been suggested that stochastic gene expression has a role in cell fate decision-making which is revealed by single-cell analyses but studies dedicated to demonstrate the consistency of this link are still lacking. Recent observations showed that SGE significantly increased during differentiation and a few showed that an increase of the level of SGE is accompanied by an increase in the differentiation process. However, a consistent relation in both increasing and decreasing directions has never been shown in the same cellular system. Such demonstration would require to be able to experimentally manipulate simultaneously the level of SGE and cell differentiation in order to observe if cell behavior matches with the current theory. We identified three drugs that modulate SGE in primary erythroid progenitor cells. Both Artemisinin and Indomethacin decreased SGE and reduced the amount of differentiated cells. On the contrary, a third component called MB-3 simultaneously increased the level of SGE and the amount of differentiated cells. We then used a dynamical modelling approach which confirmed that differentiation rates were indeed affected by the drug treatment. Using single-cell analysis and modeling tools, we provide experimental evidence that, in a physiologically relevant cellular system, SGE is linked to differentiation.

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Section: Resultsmentioning

confidence: 99%

Drugs modulating stochastic gene expression affect the erythroid differentiation process

et al. 2019

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“…Therefore, the study of differences in pharmacogenomics among different populations can provide valuable theoretical basis for individualized drug treatment based on different populations. At present, there are studies on population genetics of genes related to drug-metabolism enzymes in ethnic minorities in Yunnan Province (Zhuang population [4] and Yi population [5] ), Tibet Autonomous Region (Lhoba population, [6] Deng population, [7] Sherpa population, [8] and Tibetan population [9] ), Xinjiang Uygur Autonomous Region (Uygur population, [10] Tajik ethnic population, [11] and Kyrgyz population), [12] and Guizhou province (Miao people [13] ). The Lisu originates from the ancient Diqiang family and has the origin relationship with the Yi people.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2018

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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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“…A brief overview of the Agena MassARRAY RS1000 (San Diego, California, USA) method for genotyping were as follows: (1) PCR amplification, (2) SAP purification, (3) iPLEX single base extension reaction, (4) resin exchange, and (5) mass spectrometry detection. Finally, Agena Typer 4.0 software was used for data statistics and analyses (Thomas et al, 2007) [ 32 ].…”

Section: Methodsmentioning

confidence: 99%

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

Peng

Xing

et al. 2021

BMC Genom Data

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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, χ2 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.

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Genetic polymorphisms of pharmacogenomic VIP variants in the Yi population from China

Cited by 8 publications

References 33 publications

Drugs modulating stochastic gene expression affect the erythroid differentiation process

Drugs modulating stochastic gene expression affect the erythroid differentiation process

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

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

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