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Yang C, Zhang G, Shu C, Lv L, Liu Z, Tian Y, Tan Q, Wang Z, Hu S, Yang L, Sun N. Exploring CYP2D6 polymorphisms and angiotensin receptor blocker response in the Bai hypertensive population. Pharmacogenet Genomics 2024:01213011-990000000-00064. [PMID: 38848263 DOI: 10.1097/fpc.0000000000000537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2024]
Abstract
OBJECTIVE The CYP2D6 enzyme is crucial for the metabolism and disposition of a variety of drugs. This study was conducted to examine the relationship between CYP2D6 gene polymorphisms and the response to angiotensin receptor blocker (ARB)-based treatment in patients of Chinese Bai ethnicity with hypertension. METHODS Seventy-two hypertensive adults from the Chinese Bai ethnic group, exhibiting systolic blood pressure (SBP) ≥ 140 mmHg or diastolic blood pressure (DBP) ≥ 90 mmHg, were recruited. Targeted regional sequencing was utilized to genotype single nucleotide polymorphisms in the CYP2D6 gene, aiming to assess their frequency and to evaluate their influence on the therapeutic efficacy of ARB medications. RESULTS Our research identified nine significant CYP2D6 polymorphisms associated with the efficacy of ARB treatment in the Bai hypertensive cohort. Specifically, patients possessing certain mutant genotype at rs111564371 exhibited substantially greater reductions in SBP and DBP, with P-values of 0.021 and 0.016, respectively, compared to those carrying the wild genotype. Additionally, these mutant genotype at rs111564371 and rs112568578 were linked to approximately 20% higher overall efficacy rates and a 10% increased achievement rate relative to the wild genotype. CONCLUSION Our research with the Bai hypertensive group shows that certain CYP2D6 polymorphisms significantly influence ARB treatment outcomes. Mutations at rs111564371 led to better blood pressure control (P-values: 0.021 for SBP, 0.016 for DBP), improving ARB efficacy by appromixately 20% and increasing treatment goal achievement by 10% over the wild-type genotype. STATEMENTS Our investigation into CYP2D6 polymorphisms within the Bai hypertensive cohort marks a substantial advancement towards personalized healthcare, underscoring the pivotal influence of genetic constitution on the effectiveness of ARB therapy.
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Affiliation(s)
| | | | - Chang Shu
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences
| | - Linxi Lv
- Dali First People's Hospital, Yunnan
| | | | - Yan Tian
- Beijing E-Seq Medical Technology Co. Ltd
| | - Qi Tan
- Beijing HuaGengYuan Pharmacogenomics Research Institute Co., Ltd
| | - Zhaobin Wang
- Beijing HuaGengYuan Pharmacogenomics Research Institute Co., Ltd
| | - Songnian Hu
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences
- University of Chinese Academy of Sciences
| | - Libo Yang
- Dali First People's Hospital, Yunnan
| | - Ningling Sun
- Department of Hypertension, People's Hospital, Peking University, Beijing, China
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Ma X, Li Y, Zang X, Guo J, Zhou W, Han J, Liang J, Wan P, Yang H, Jin T. The landscape of very important pharmacogenes variants and potential clinical relevance in the Chinese Jingpo population: a comparative study with worldwide populations. Cancer Chemother Pharmacol 2024; 93:481-496. [PMID: 38300251 DOI: 10.1007/s00280-023-04638-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 12/29/2023] [Indexed: 02/02/2024]
Abstract
BACKGROUND Pharmacogenomics is a facet of personalized medicine that explores how genetic variants affect drug metabolism and adverse drug reactions. Therefore, this study aims to detect distinct pharmacogenomic variations among the Jingpo population and explore their clinical correlation with drug metabolism and toxicity. METHODS Agena MassARRAY Assay was used to genotype 57 VIP variants in 28 genes from 159 unrelated Jingpo participants. Subsequently, the chi-squared test and Bonferroni's statistical tests were utilized to conduct a comparative analysis of genotypes and allele frequencies between the Jingpo population and the other 26 populations from the 1000 Genome Project. RESULTS We discovered that the KHV (Kinh in Ho ChiMinh City, Vietnam), CHS (Southern Han Chi-nese, China) and JPT (Japanese in Tokyo, Japan) exhibited the smallest differences from the Jingpo with only 4 variants, while ESN (Esan in Nigeria) exhibited the largest differences with 30 variants. Besides, a total of six considerably different loci (rs4291 in ACE, rs20417 in PTGS2, rs1801280 and rs1799929 in NAT2, rs2115819 in ALOX5, rs1065852 in CYP2D6, p < 3.37 × 10-5) were identified in this study. According to PharmGKB, rs20417 (PTGS2), rs4291 (ACE), rs2115819 (ALOX5) and rs1065852 (CYP2D6) were found to be associated with the metabolism efficiency of non-steroidal anti-inflammatory drugs (NSAIDs), aspirin, montelukast and tamoxifen, respectively. Meanwhile, rs1801280 and rs1799929 (NAT2) were found to be related to drug poisoning with slow acetylation. CONCLUSION Our study unveils distinct pharmacogenomic variants in the Jingpo population and discovers their association with the metabolic efficiency of NSAIDs, montelukast, and tamoxifen.
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Affiliation(s)
- Xiaoya Ma
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, #229 North TaiBai Road, Xi'an, 710069, Shaanxi, China
- College of Life Science, Northwest University, Xi'an, 710069, Shaanxi, China
- Shaanxi Provincial Key Laboratory of Biotechnology, Northwest University, Xi'an, 710069, Shaanxi, China
| | - Yujie Li
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, #229 North TaiBai Road, Xi'an, 710069, Shaanxi, China
- College of Life Science, Northwest University, Xi'an, 710069, Shaanxi, China
- Shaanxi Provincial Key Laboratory of Biotechnology, Northwest University, Xi'an, 710069, Shaanxi, China
| | - Xufeng Zang
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, #229 North TaiBai Road, Xi'an, 710069, Shaanxi, China
- College of Life Science, Northwest University, Xi'an, 710069, Shaanxi, China
- Shaanxi Provincial Key Laboratory of Biotechnology, Northwest University, Xi'an, 710069, Shaanxi, China
| | - Jinping Guo
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, #229 North TaiBai Road, Xi'an, 710069, Shaanxi, China
- College of Life Science, Northwest University, Xi'an, 710069, Shaanxi, China
- Shaanxi Provincial Key Laboratory of Biotechnology, Northwest University, Xi'an, 710069, Shaanxi, China
| | - Wenqian Zhou
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, #229 North TaiBai Road, Xi'an, 710069, Shaanxi, China
- College of Life Science, Northwest University, Xi'an, 710069, Shaanxi, China
- Shaanxi Provincial Key Laboratory of Biotechnology, Northwest University, Xi'an, 710069, Shaanxi, China
| | - Junhui Han
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, #229 North TaiBai Road, Xi'an, 710069, Shaanxi, China
- College of Life Science, Northwest University, Xi'an, 710069, Shaanxi, China
- Shaanxi Provincial Key Laboratory of Biotechnology, Northwest University, Xi'an, 710069, Shaanxi, China
| | - Jing Liang
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, #229 North TaiBai Road, Xi'an, 710069, Shaanxi, China
- College of Life Science, Northwest University, Xi'an, 710069, Shaanxi, China
- Shaanxi Provincial Key Laboratory of Biotechnology, Northwest University, Xi'an, 710069, Shaanxi, China
| | - Panpan Wan
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, #229 North TaiBai Road, Xi'an, 710069, Shaanxi, China
- College of Life Science, Northwest University, Xi'an, 710069, Shaanxi, China
- Shaanxi Provincial Key Laboratory of Biotechnology, Northwest University, Xi'an, 710069, Shaanxi, China
| | - Hua Yang
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, #229 North TaiBai Road, Xi'an, 710069, Shaanxi, China.
- College of Life Science, Northwest University, Xi'an, 710069, Shaanxi, China.
- Shaanxi Provincial Key Laboratory of Biotechnology, Northwest University, Xi'an, 710069, Shaanxi, China.
| | - Tianbo Jin
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, #229 North TaiBai Road, Xi'an, 710069, Shaanxi, China.
- College of Life Science, Northwest University, Xi'an, 710069, Shaanxi, China.
- Shaanxi Provincial Key Laboratory of Biotechnology, Northwest University, Xi'an, 710069, Shaanxi, China.
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Narendra G, Choudhary S, Raju B, Verma H, Silakari O. Role of Genetic Polymorphisms in Drug-Metabolizing Enzyme-Mediated Toxicity and Pharmacokinetic Resistance to Anti-Cancer Agents: A Review on the Pharmacogenomics Aspect. Clin Pharmacokinet 2022; 61:1495-1517. [PMID: 36180817 DOI: 10.1007/s40262-022-01174-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/17/2022] [Indexed: 01/31/2023]
Abstract
The inter-individual differences in cancer susceptibility are somehow correlated with the genetic differences that are caused by the polymorphisms. These genetic variations in drug-metabolizing enzymes/drug-inactivating enzymes may negatively or positively affect the pharmacokinetic profile of chemotherapeutic agents that eventually lead to pharmacokinetic resistance and toxicity against anti-cancer drugs. For instance, the CYP1B1*3 allele is associated with CYP1B1 overexpression and consequent resistance to a variety of taxanes and platins, while 496T>G is associated with lower levels of dihydropyrimidine dehydrogenase, which results in severe toxicities related to 5-fluorouracil. In this context, a pharmacogenomics approach can be applied to ascertain the role of the genetic make-up in a person's response to any drug. This approach collectively utilizes pharmacology and genomics to develop effective and safe medications that are devoid of resistance problems. In addition, recently reported genomics studies revealed the impact of many single nucleotide polymorphisms in tumors. These studies emphasized the importance of single nucleotide polymorphisms in drug-metabolizing enzymes on the effect of anti-tumor drugs. In this review, we discuss the pharmacogenomics aspect of polymorphisms in detail to provide an insight into the genetic manipulations in drug-metabolizing enzymes that are responsible for pharmacokinetic resistance or toxicity against well-known anti-cancer drugs. Special emphasis is placed on different deleterious single nucleotide polymorphisms and their effect on pharmacokinetic resistance. The information provided in this report may be beneficial to researchers, especially those who are working in the field of biotechnology and human genetics, in rationally manipulating the genetic information of patients with cancer who are undergoing chemotherapy to avoid the problem of pharmacokinetic resistance/toxicity associated with drug-metabolizing enzymes.
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Affiliation(s)
- Gera Narendra
- Molecular Modeling Lab (MML), Department of Pharmaceutical Sciences and Drug Research, Punjabi University, 147002, Patiala, Punjab, India
| | - Shalki Choudhary
- Molecular Modeling Lab (MML), Department of Pharmaceutical Sciences and Drug Research, Punjabi University, 147002, Patiala, Punjab, India
| | - Baddipadige Raju
- Molecular Modeling Lab (MML), Department of Pharmaceutical Sciences and Drug Research, Punjabi University, 147002, Patiala, Punjab, India
| | - Himanshu Verma
- Molecular Modeling Lab (MML), Department of Pharmaceutical Sciences and Drug Research, Punjabi University, 147002, Patiala, Punjab, India
| | - Om Silakari
- Molecular Modeling Lab (MML), Department of Pharmaceutical Sciences and Drug Research, Punjabi University, 147002, Patiala, Punjab, India.
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Meng W, Zhang W, Yang S, Dou X, Liu Y, Li H, Liu J, Jin T, Li B. Analysis of pharmacogenomic very important pharmacogenomic variants: CYP3A5, ACE, PTGS2 and NAT2 genes in Chinese Bai population. Per Med 2022; 19:403-410. [PMID: 35801384 DOI: 10.2217/pme-2021-0157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Aim: Our study aimed to screen the genotype frequencies of very important pharmacogenomic (VIP) mutations and identify their differences between Bai and other populations. Materials & methods: We selected 66 VIP variants from PharmGKB (www.pharmgkb.org/) for genotyping. χ2 test was used to identify differences in loci between these populations and Fst values of Bai and the other 26 populations were analyzed. Results: Our study showed that the frequencies of SNPs of CYP3A5, ACE, PTGS2 and NAT2 differed significantly from those of the other 26 populations. At the same time, we found that some VIP variants may affect the metabolism of drugs and the genetic relationship between the Bai population and East Asian populations was found to be the closest. Conclusion: By comparing the genotype frequencies of different populations, the loci with significant differences were identified and discussed, providing a theoretical basis for individualized drug use in the Bai ethnic population.
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Affiliation(s)
- Wenting Meng
- Key Laboratory of Resource Biology & Biotechnology in Western China, Ministry of Education, School of Medicine, Northwest University, 229 TaiBai North Road, Xi'an, 710069, China.,Biomedicine Key Laboratory of Shaanxi Province, Northwest University, Xi'an, 710069, China
| | - Wenjie Zhang
- Key Laboratory of Resource Biology & Biotechnology in Western China, Ministry of Education, School of Medicine, Northwest University, 229 TaiBai North Road, Xi'an, 710069, China.,Biomedicine Key Laboratory of Shaanxi Province, Northwest University, Xi'an, 710069, China
| | - Shuangyu Yang
- Key Laboratory of Resource Biology & Biotechnology in Western China, Ministry of Education, School of Medicine, Northwest University, 229 TaiBai North Road, Xi'an, 710069, China.,Biomedicine Key Laboratory of Shaanxi Province, Northwest University, Xi'an, 710069, China
| | - Xia Dou
- Key Laboratory of Resource Biology & Biotechnology in Western China, Ministry of Education, School of Medicine, Northwest University, 229 TaiBai North Road, Xi'an, 710069, China.,Biomedicine Key Laboratory of Shaanxi Province, Northwest University, Xi'an, 710069, China
| | - Yuanwei Liu
- Key Laboratory of Resource Biology & Biotechnology in Western China, Ministry of Education, School of Medicine, Northwest University, 229 TaiBai North Road, Xi'an, 710069, China.,Biomedicine Key Laboratory of Shaanxi Province, Northwest University, Xi'an, 710069, China
| | - Haiyue Li
- Key Laboratory of Resource Biology & Biotechnology in Western China, Ministry of Education, School of Medicine, Northwest University, 229 TaiBai North Road, Xi'an, 710069, China.,Biomedicine Key Laboratory of Shaanxi Province, Northwest University, Xi'an, 710069, China
| | - Jianfeng Liu
- Key Laboratory of Resource Biology & Biotechnology in Western China, Ministry of Education, School of Medicine, Northwest University, 229 TaiBai North Road, Xi'an, 710069, China.,Biomedicine Key Laboratory of Shaanxi Province, Northwest University, Xi'an, 710069, China
| | - Tianbo Jin
- Key Laboratory of Resource Biology & Biotechnology in Western China, Ministry of Education, School of Medicine, Northwest University, 229 TaiBai North Road, Xi'an, 710069, China.,Biomedicine Key Laboratory of Shaanxi Province, Northwest University, Xi'an, 710069, China
| | - Bin Li
- Key Laboratory of Resource Biology & Biotechnology in Western China, Ministry of Education, School of Medicine, Northwest University, 229 TaiBai North Road, Xi'an, 710069, China.,Biomedicine Key Laboratory of Shaanxi Province, Northwest University, Xi'an, 710069, China
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Zhang T, Li Q, Dong B, Liang X, Jia M, Bai J, Yu J, Fu S. Genetic Polymorphism of Drug Metabolic Gene CYPs, VKORC1, NAT2, DPYD and CHST3 of Five Ethnic Minorities in Heilongjiang Province, Northeast China. Pharmgenomics Pers Med 2021; 14:1537-1547. [PMID: 34876832 PMCID: PMC8643223 DOI: 10.2147/pgpm.s339854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Accepted: 11/05/2021] [Indexed: 11/23/2022] Open
Abstract
Introduction Genetic variability in genes encoding drug-metabolizing enzymes may contribute to the heterogeneity of drug responses in different populations. Extensive research in pharmacogenomics in major populations around the world provides us with a great deal of information about drug-related genetic polymorphisms. Objective The purpose of this study was to detect the genetic variation of drug-metabolism-related genes in the five ethnic minorities Daur, Hezhen, Ewenki, Mongolian and Manchu in China, and to analyze the distribution differences among ethnic groups. Methods We genotyped 32 SNPs of drug metabolism genes in 882 healthy Chinese volunteers from five ethnic groups. The genotype frequency and allele frequency of the five ethnic groups were calculated, and the different variants among the five ethnic groups were compared by chi-square test. Genetic parameters were analyzed using Popgene software. The genetic structure of five ethnic minorities was analyzed by principal component analysis, and compared with 26 populations. Results We found that SNPs of genes related to drug metabolism existed diversity in different populations. Among them, rs8192766 and rs9419082 in CYP2E1 showed statistical differences between Daur and Manchu, and NAT2 rs1801280 showed statistical differences between Hezhen and Mongolian. In addition, the five populations we studied had the smallest differences with EAS populations. There was haplotype diversity in CHST3, VKORC1, CYP1A2 and CYP2E1 genes in the five ethnic minorities, and these haplotype polymorphisms were related to the use of corresponding drug doses. Cluster analysis shows that the five ethnic minorities in Heilongjiang Province are clustered together with the EAS populations. Conclusion These results suggest that understanding the diversity of drug-related genetic markers is critical for individualized drug gene therapy programs in ethnic minorities in China as well as in populations highly mixed with these ethnic groups.
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Affiliation(s)
- Tingting Zhang
- Laboratory of Medical Genetics, Harbin Medical University, Harbin, People's Republic of China.,Key Laboratory of Preservation of Human Genetic Resources and Disease Control in China (Harbin Medical University), Ministry of Education, Harbin, People's Republic of China
| | - Qiuyan Li
- Laboratory of Medical Genetics, Harbin Medical University, Harbin, People's Republic of China.,Key Laboratory of Preservation of Human Genetic Resources and Disease Control in China (Harbin Medical University), Ministry of Education, Harbin, People's Republic of China.,Editorial Department of International Journal of Genetics, Harbin Medical University, Harbin, People's Republic of China
| | - Bonan Dong
- Laboratory of Medical Genetics, Harbin Medical University, Harbin, People's Republic of China.,Key Laboratory of Preservation of Human Genetic Resources and Disease Control in China (Harbin Medical University), Ministry of Education, Harbin, People's Republic of China
| | - Xiao Liang
- Laboratory of Medical Genetics, Harbin Medical University, Harbin, People's Republic of China.,Key Laboratory of Preservation of Human Genetic Resources and Disease Control in China (Harbin Medical University), Ministry of Education, Harbin, People's Republic of China
| | - Mansha Jia
- Scientific Research Centre, The Second Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China
| | - Jing Bai
- Laboratory of Medical Genetics, Harbin Medical University, Harbin, People's Republic of China.,Key Laboratory of Preservation of Human Genetic Resources and Disease Control in China (Harbin Medical University), Ministry of Education, Harbin, People's Republic of China
| | - Jingcui Yu
- Key Laboratory of Preservation of Human Genetic Resources and Disease Control in China (Harbin Medical University), Ministry of Education, Harbin, People's Republic of China.,Scientific Research Centre, The Second Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China
| | - Songbin Fu
- Laboratory of Medical Genetics, Harbin Medical University, Harbin, People's Republic of China.,Key Laboratory of Preservation of Human Genetic Resources and Disease Control in China (Harbin Medical University), Ministry of Education, Harbin, People's Republic of China
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Genetic analysis of pharmacogenomic VIP variants in the Wa population from Yunnan Province of China. BMC Genom Data 2021; 22:51. [PMID: 34798807 PMCID: PMC8605568 DOI: 10.1186/s12863-021-00999-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Accepted: 10/08/2021] [Indexed: 11/24/2022] Open
Abstract
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. Supplementary Information The online version contains supplementary material available at 10.1186/s12863-021-00999-8.
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Novel directions in data pre-processing and genome-wide association study (GWAS) methodologies to overcome ongoing challenges. INFORMATICS IN MEDICINE UNLOCKED 2021. [DOI: 10.1016/j.imu.2021.100586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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8
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Rong H, Dong H, He X, Yuan D, Bai M, Wang L, Liu T, He Y, Zheng J, Wang Y, Jin T. Analysis of very important pharmacogene variants in the Tibetan population from China. Clin Exp Pharmacol Physiol 2020; 48:668-678. [PMID: 32311112 DOI: 10.1111/1440-1681.13327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Revised: 04/12/2020] [Accepted: 04/16/2020] [Indexed: 11/27/2022]
Abstract
Personalized medicine, the treatment best suited for an individual, is a hot field of clinical research in the world. Many recent studies have shown that genetic variations have a great influence on the treatment. This study aimed to identify the distribution differences of very important pharmacogene (VIP) variants between the Tibetan population and the other 26 populations from the 1000 Genomes project. Based on the PharmGKB database, we successfully genotyped 50 VIP variants located in 27 genes in the Tibetan population. We also compared the genotype frequencies of VIP variants between Tibetan population and the other 26 populations. Without adjustment, the Chi-square test showed that the only significant variant between Tibetans and every other group was rs1801159 in dihydropyrimidine dehydrogenase (DPYD), followed by rs1800566 in NAD(P)H quinone dehydrogenase 1 (NQO1) and rs1051296 in solute carrier family 19 member 1 (SLC19A1). After Bonferroni's multiple adjustments, the genotype frequencies distribution of DPYD rs1801159 was found to be different in Tibetans compared to the other 26 groups, apart from ACB and ASW. Moreover, genetic structure/F-statistics (Fst) analysis and the phylogenetic tree illustrated that Tibetans had a closer affinity with CDX, CHB, CHS, JPT and KHV. Our data will complement pharmacogenomics information of the Tibetan population and provide theoretical support for the realization of individualized medical treatment for Tibetans in the future.
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Affiliation(s)
- Hao Rong
- Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, China.,School of Basic Medical Sciences, Xizang Minzu University, Xianyang, China
| | - Hongzhi Dong
- The Affiliated Hospital of Xizang Minzu University, Xianyang, China
| | - Xue He
- Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, China
| | - Dongya Yuan
- Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, China.,School of Basic Medical Sciences, Xizang Minzu University, Xianyang, China
| | - Mei Bai
- Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, China.,School of Basic Medical Sciences, Xizang Minzu University, Xianyang, China
| | - Li Wang
- Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, China.,School of Basic Medical Sciences, Xizang Minzu University, Xianyang, China
| | - Tao Liu
- Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, China.,School of Basic Medical Sciences, Xizang Minzu University, Xianyang, China
| | - Yongjun He
- Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, China.,School of Basic Medical Sciences, Xizang Minzu University, Xianyang, China
| | - Jianwen Zheng
- The Affiliated Hospital of Xizang Minzu University, Xianyang, China
| | - Yuhe Wang
- The Affiliated Hospital of Xizang Minzu University, Xianyang, China
| | - Tianbo Jin
- Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, China.,School of Basic Medical Sciences, Xizang Minzu University, Xianyang, China
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Chen W, Ding H, Cheng Y, Li Q, Dai R, Yang X, Zhang C. Genetic polymorphisms analysis of pharmacogenomic VIP variants in Bai ethnic group from China. Mol Genet Genomic Med 2019; 7:e884. [PMID: 31361092 PMCID: PMC6732286 DOI: 10.1002/mgg3.884] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Revised: 05/27/2019] [Accepted: 07/08/2019] [Indexed: 12/28/2022] Open
Abstract
Background The pharmacogenomics study has been widely used for the study of very important pharmacogenetic (VIP) variants among different ethnic groups. However, there is little known about the pharmacogenomics information regarding Bai family. Our study aimed to screen the polymorphism of the VIP gene in Bai nationality. Methods We genotyped 81 VIP variants (selected from the PharmGKB database) in the Bai population and then compared them to the other 11 major HapMap populations by chi‐square test, structure and F‐statistics (Fst) analysis. Results Our results indicated that rs20417 (PTGS2), rs4148323 (UGT1A), and rs1131596 (SLC19A1) were most different in Bai compared with most of the 11 populations from the HapMap data set. Furthermore, population structure and F‐statistics (Fst) analysis also demonstrated that the Bai population has the closest genetic relationship with Han Chinese in Beijing, China (CHB), followed by Japanese in Tokyo, Japan (JPT), and the farthest population from the Yoruba in Ibadan, Nigeria (YRI). Conclusions Our study not only presented the genotype frequency difference between the selected population of the Bai population and the other 11 populations, but also showed that the Bai population is most similar to the CHB populations, followed by JPT. These findings would contribute to the development of individualized medicine for the Bai population.
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Affiliation(s)
- Wanlu Chen
- Department of Blood Transfusion, The First People's Hospital of Yunnan Province, Kunming, Yunnan Province, China
| | - Heng Ding
- Honghe Center Blood Station, Mengzi, Yunnan Province, China
| | - Yujing Cheng
- Department of Blood Transfusion, The First People's Hospital of Yunnan Province, Kunming, Yunnan Province, China
| | - Qi Li
- Department of Blood Transfusion, The First People's Hospital of Yunnan Province, Kunming, Yunnan Province, China
| | - Run Dai
- Department of Blood Transfusion, The First People's Hospital of Yunnan Province, Kunming, Yunnan Province, China
| | - Xin Yang
- Department of Blood Transfusion, The First People's Hospital of Yunnan Province, Kunming, Yunnan Province, China
| | - Chan Zhang
- Department of Blood Transfusion, The First People's Hospital of Yunnan Province, Kunming, Yunnan Province, China
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