Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: EC:2.1.1.67 (thiopurine methyltransferase)
 551 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Clinically important genetic polymorphisms influencing drug metabolism and drug response have typically been discovered on the basis of phenotypic differences among individuals from different populations. Routine genotyping before drug therapy may enable the identification of responders, nonresponders, or patients at increased risk of toxicity. Automated, high-throughput detecting methods for single-nucleotide polymorphisms (SNPs) are highly desirable in many clinical laboratories. The aim of this study is to develop a high-throughput genotyping method for detecting SNPs influencing drug response in the Japanese population. We have developed three real-time PCR assays for detecting SNPs in the human drug-metabolizing enzymes and drug targets. The assay for simultaneously detecting CYP2A6, CYP2B6, CYP2C9, CYP2C18, CYP2C19, CYP2D6, CYP2E1, CYP3A5, NAT2, TPMT, DPYD, UGT1A1, ALDH2, ADH2, MDR1, CETP, DCP-1, ADRB2, HTR2A, INPP1, SDF1, and mitochondrial DNA polymorphisms takes less than 1.5 h. With the clinical application of NAT2 genotyping, we found statistically significant difference between the incidence of adverse drug reactions (ADRs) and the NAT2 genotype. The incidence of the ADRs was significantly higher in the slow type than the in other two types, as 5 of the 6 patients were of the slowtype, and the other was the intermediatetype, while no patients of the rapidtype has developed any ADRs.
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PMID:[Development of simplified and rapid detection assay for genetic polymorphisms influencing drug response and its clinical applications]. 1213 41

Much of the interindividual variability in drug response is attributable to the presence of single nucleotide polymorphisms (SNPs) in genes encoding drug-metabolizing enzymes and drug transporters. In recent years, we have investigated the polymorphisms in a number of genes encoding phase I and II drug-metabolizing enzymes including CYPIA1, CYP3A4, CYP3A5, GSTM1, NAT2, UGT1A1, and TPMT and drug transporter (MDR1) in three distinct Asian populations in Singapore, namely the Chinese, Malays, and Indians. Significant differences in the frequencies of common alleles encoding these proteins have been observed among these three ethnic groups. For example, the frequency of the variant A2455G polymorphism of CYP1A1 was 28% in Chinese and 31% in Malays, but only 18% in Indians. CYP3A4*4 was detected in two of 110 Chinese subjects, but absent in Indians and Malays. Many Chinese and Malays (61-63%) were homozygous for the GSTM1*0 null genotype compared with 33% of Indians. The frequency of the UGTIA1*28 allele was highest in the Indian population (35%) compared to similar frequencies that were found in the Chinese (16%) and Malay (19%) populations. More importantly, our experience over the years has shown that the pharmacogenetics of these drug-metabolizing enzymes and MDR1 in the Asian populations are different from these in the Caucasian and African populations. For example, the CYP3A4*1B allele, which contains an A-290G substitution in the promoter region of CYP3A4, is absent in all three Asian populations of Singapore studied, but occurs in more than 54% of Africans and 5% of Caucasians. There were no difference in genotype and allelic variant frequencies in exon 12 of MDR1 between the Chinese, Malay, and Indian populations. When compared with other ethnic groups, the distribution of the wild-type C allele in exon 12 in the Malays (34.2%) and Indians (32.8%) was relatively high and similar to the Japanese (38.55%) and Caucasians (41%) but different from African-Americans (15%). The frequency of wild-type TT genotype in Asians (43.5% to 52.1%) and Japanese (61.5%) was much higher than those found in Caucasians (13.3%). All the proteins we studied represent the primary hepatic or extrahepatic enzymes, and their polymorphic expression may be implicated in disease risk and the disposition of drugs or endogenous substances. As such, dose requirements of certain drugs may not be optimal for Asian populations, and a second look at the factors responsible for this difference is necessary.
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PMID:An interethnic comparison of polymorphisms of the genes encoding drug-metabolizing enzymes and drug transporters: experience in Singapore. 1593 68

There is wide variability in the response of individuals to standard doses of drug therapy. This is an important problem in clinical practice, where it can lead to therapeutic failures or adverse drug reactions. Polymorphisms in genes coding for metabolising enzymes and drug transporters can affect drug efficacy and toxicity. Pharmacogenetics aims to identify individuals predisposed to a high risk of toxicity and low response from standard doses of anti-cancer drugs. This review focuses on the clinical significance of polymorphisms in drug-metabolising enzymes (cytochrome P450 [CYP] 2C8, CYP2C9, CYP2C19, CYP2D6, CYP3A4, CYP3A5, dihydropyrimidine dehydrogenase, uridine diphosphate glucuronosyltransferase [UGT] 1A1, glutathione S-transferase, sulfotransferase [SULT] 1A1, N-acetyltransferase [NAT], thiopurine methyltransferase [TPMT]) and drug transporters (P-glycoprotein [multidrug resistance 1], multidrug resistance protein 2 [MRP2], breast cancer resistance protein [BCRP]) in influencing efficacy and toxicity of chemotherapy. The most important example to demonstrate the influence of pharmacogenetics on anti-cancer therapy is TPMT. A decreased activity of TPMT, caused by genetic polymorphisms in the TPMT gene, causes severe toxicity with mercaptopurine. Dosage reduction is necessary for patients with heterozygous or homozygous mutation in this gene. Other polymorphisms showing the influence of pharmacogenetics in the chemotherapeutic treatment of cancer are discussed, such as UGT1A1*28. This polymorphism is associated with an increase in toxicity with irinotecan. Also, polymorphisms in the DPYD gene show a relation with fluorouracil-related toxicity; however, in most cases no clear association has been found for polymorphisms in drug-metabolising enzymes and drug transporters, and pharmacokinetics or pharmacodynamics of anti-cancer drugs. The studies discussed evaluate different regimens and tumour types and show that polymorphisms can have different, sometimes even contradictory, pharmacokinetic and pharmacodynamic effects in different tumours in response to different drugs. The clinical application of pharmacogenetics in cancer treatment will therefore require more detailed information of the different polymorphisms in drug-metabolising enzymes and drug transporters. Larger studies, in different ethnic populations, and extended with haplotype and linkage disequilibrium analysis, will be necessary for each anti-cancer drug separately.
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PMID:Genetic polymorphisms of drug-metabolising enzymes and drug transporters in the chemotherapeutic treatment of cancer. 1650 59

The pharmacogenetics of either individual patients or tumors has been used to aid the progress of personalized medicine to generate antitumor drugs (eg, trastuzamab and erlotinib) that are active against tumors expressing particular growth factor receptors. Outside the field of cancer therapeutics, pharmacogenetic tests have been introduced to detect patient genotypes with the aim of individualizing existing treatments. For example, the analysis of thiopurine S-methyltransferase genotypes enables the prediction of toxicity in patients to be treated with either 6-mercaptopurine or azathioprine, while the uridine 5'-diphosphoglucuronosyl-transferase 1A1 genotype may predict irinotecan toxicity. There is a large body of information concerning cytochrome P450 (CYP) polymorphisms and their relationship with drug toxicity and response; however, currently, there is limited use of CYP genotypes to individualize treatments. It is now well recognized that the CYP2C9 genotype, when combined with the genotype for vitamin K epoxide reductase complex subunit 1, is predictive of dose requirement for oral anticoagulants, a fact that is likely to have clinical utility. There is also potential to individualize treatments with certain drugs on the basis of CYP2D6, CYP2C19 and CYP3A5 genotypes. Studies on genes encoding drug receptors in relation to individualized prescription have been limited but there is increasing information on the relationship between response to beta2-adrenoceptor agonists and the genotype for the beta2-adrenoceptor gene. The introduction of pharmacogenetic tests into routine healthcare requires both a demonstration of cost-effectiveness and the availability of appropriate accessible testing systems.
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PMID:Individualized drug therapy. 1726 38

Serious adverse drug reactions represent the sixth major cause of death in the USA, are the main reason for postmarketing drug withdrawal and represent billions of US dollars in costs every year in all developed countries. Some of these serious adverse drug reactions might be avoided by systematically screening for pharmacogenomic risk factors. During the last few years, regulatory agencies introduced pharmacogenomics labels for several drugs, but although a priori genetic testing remains advised or recommended, it is seldom compulsory due to poor evidence-based medicine knowledge. Recently published pharmacogenomic randomized, controlled and ongoing trials will progressively make genotyping tests, such as those for HLA-B*5701 (abacavir), TPMT (6-mercaptopurine), CYP2C9 plus VKORC1 (warfarin) and CYP3A5 (tacrolimus), mandatory. Parallel development of pharmacogenomic bed tests will certainly establish genetically-based prescriptions in routine medical practice.
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PMID:Pharmacogenomics of adverse drug reactions: practical applications and perspectives. 1953 Sep 63

Pharmacogenetic testing is becoming more common; however, very few quality control and other reference materials that cover alleles commonly included in such assays are currently available. To address these needs, the Centers for Disease Control and Prevention's Genetic Testing Reference Material Coordination Program, in collaboration with members of the pharmacogenetic testing community and the Coriell Cell Repositories, have characterized a panel of 107 genomic DNA reference materials for five loci (CYP2D6, CYP2C19, CYP2C9, VKORC1, and UGT1A1) that are commonly included in pharmacogenetic testing panels and proficiency testing surveys. Genomic DNA from publicly available cell lines was sent to volunteer laboratories for genotyping. Each sample was tested in three to six laboratories using a variety of commercially available or laboratory-developed platforms. The results were consistent among laboratories, with differences in allele assignments largely related to the manufacturer's assay design and variable nomenclature, especially for CYP2D6. The alleles included in the assay platforms varied, but most were identified in the set of 107 DNA samples. Nine additional pharmacogenetic loci (CYP4F2, EPHX1, ABCB1, HLAB, KIF6, CYP3A4, CYP3A5, TPMT, and DPD) were also tested. These samples are publicly available from Coriell and will be useful for quality assurance, proficiency testing, test development, and research.
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PMID:Characterization of 107 genomic DNA reference materials for CYP2D6, CYP2C19, CYP2C9, VKORC1, and UGT1A1: a GeT-RM and Association for Molecular Pathology collaborative project. 2088 55

The present article summarizes the discussions of the 3rd European Science Foundation-University of Barcelona (ESF-UB) Conference in Biomedicine on Pharmacogenetics and Pharmacogenomics, which was held in June 2010 in Spain. It was focused on practical applications in routine medical practice. We provide practical recommendations for ten different clinical situations, that have either been approved or not approved by regulatory agencies. We propose some comments that might accompany the results of these tests, indicating the best drug and doses to be prescribed. The discussed examples include KRAS, cetuximab, panitumumab, EGFR-gefitinib, CYP2D6-tamoxifen, TPMT-azathioprine-6-mercaptopurine, VKORC1/CYP2C9-warfarin, CYP2C19-clopidogrel, HLA-B*5701-abacavir, HLA-B*5701-flucloxacillin, SLCO1B1-statins and CYP3A5-tacrolimus. We hope that these practical recommendations will help physicians, biologists, scientists and other healthcare professionals to prescribe, perform and interpret these genetic tests.
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PMID:Practical recommendations for pharmacogenomics-based prescription: 2010 ESF-UB Conference on Pharmacogenetics and Pharmacogenomics. 2117 26

Interindividual differences in drug disposition are important causes for adverse drug reactions and lack of drug response. The majority of phase I and phase II drug-metabolizing enzymes (DMEs) are polymorphic and constitute essential factors for the outcome of drug therapy. Recently, both genome-wide association (GWA) studies with a focus on drug response, as well as more targeted studies of genes encoding DMEs have revealed in-depth information and provided additional information for variation in drug metabolism and drug response, resulting in increased knowledge that aids drug development and clinical practice. In addition, an increasing number of meta-analyses have been published based on several original and often conflicting pharmacogenetic studies. Here, we review data regarding the pharmacogenomics of DMEs, with particular emphasis on novelties. We conclude that recent studies have emphasized the importance of CYP2C19 polymorphism for the effects of clopidogrel, whereas the CYP2C9 polymorphism appears to have a role in anticoagulant treatment, although inferior to VKORC1. Furthermore, the analgesic and side effects of codeine in relation to CYP2D6 polymorphism are supported and the influence of CYP2D6 genotype on breast cancer recurrence during tamoxifen treatment appears relevant as based on three large studies. The influence of CYP2D6 polymorphism on the effect of antidepressants in a clinical setting is yet without any firm evidence, and the relation between CYP2D6 ultrarapid metabolizers and suicide behavior warrants further studies. There is evidence for the influence of CYP3A5 polymorphism on tacrolimus dose, although the influence on response is less studied. Recent large GWA studies support a link between CYP1A2 polymorphism and blood pressure as well as coffee consumption, and between CYP2A6 polymorphism and cigarette consumption, which in turn appears to influence the lung cancer incidence. Regarding phase II enzyme polymorphism, the anticancer treatment with mercaptopurines and irinotecan is still considered important in relation to the polymorphism of TPMT and UGT1A1, respectively. There is a need for further clarification of the clinical importance and use of all these findings, but the recent research in the field that encompasses larger studies and a whole genome perspective, improves the possibilities be able to make firm and cost-effective recommendations for drug treatment in the future.
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PMID:Pharmacogenomics of drug-metabolizing enzymes: a recent update on clinical implications and endogenous effects. 2308 72

Interpatient variability in drug response can be widely explained by genetically determined differences in metabolizing enzymes, drug transporters, and drug targets, leading to different pharmacokinetic and/or pharmacodynamic behaviors of drugs. Genetic variations affect or do not affect drug responses depending on their influence on protein activity and the relevance of such proteins in the pathway of the drug. Also, the frequency of such genetic variations differs among populations, so the clinical relevance of a specific variation is not the same in all of them. In this study, a panel of 33 single nucleotide polymorphisms in 14 different genes (ABCB1, ABCC2, ABCG2, CYP2B6, CYP2C19, CYP2C9, CYP3A4, CYP3A5, MTHFR, NOD2/CARD15, SLCO1A2, SLCO1B1, TPMT, and UGT1A9), encoding for the most relevant metabolizing enzymes and drug transporters relating to immunosuppressant agents, was analyzed to determine the genotype profile and allele frequencies in comparison with HapMap data. A total of 570 Spanish white recipients and donors of solid organ transplants were included. In 24 single nucleotide polymorphisms, statistically significant differences in allele frequency were observed. The largest differences (>100%) occurred in ABCB1 rs2229109, ABCG2 rs2231137, CYP3A5 rs776746, NOD2/CARD15 rs2066844, TPMT rs1800462, and UGT1A9 rs72551330. In conclusion, differences were recorded between the Spanish and other white populations in terms of allele frequency and genotypic distribution. Such differences may have implications in relation to dose requirements and drug-induced toxicity. These data are important for further research to help explain interindividual pharmacokinetic and pharmacodynamic variability in response to drug therapy.
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PMID:Genotype and allele frequencies of drug-metabolizing enzymes and drug transporter genes affecting immunosuppressants in the Spanish white population. 2423 28

The objectives of this study are to investigate allele frequencies of drug absorption, distribution, metabolism and elimination (ADME)-related genes in the Thai population and to compare these genes to HapMap populations including Caucasians (CEU), Africans (YRI) and Asians (CHB/JPT). Genetic variations of drug ADME-related genes in 190 Thais were investigated using drug metabolizing enzymes and transporters (DMET) plus genotyping system. We examined 1936 single nucleotide polymorphisms (SNPs) of 225 genes that have documented functional and clinical significances in phase I and phase II drug metabolism enzymes, drug transporters and other genes involved in ADME processes. Distributions of genotyping data from Thai were compared with other HapMap populations including Caucasian, African and Asian populations. The analysis demonstrated 43 SNPs with statistical significance comparing among five populations. However, only 26 SNPs showed statistical significance in pair-wise comparisons between Thai versus CEU and Thai versus CHB/JPT. These 26 SNPs belong to 13 groups of drug ADME-related genes which are CYP2A6, CYP3A5, CYP2B6, CYP2C8, CYP2C9, CYP2C19, CYP2D6, VKORC1, COMT, NAT2, TPMT, UGT1A1 and SLCO1B1. These genes demonstrated clinical significances as previously observed in many studies. The results could explain clinical variability in pharmacokinetics and pharmacodynamics of drugs in Thais based on genetic variations in drug ADME-related gene emphasized in this article.
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PMID:Comparison of genetic variation in drug ADME-related genes in Thais with Caucasian, African and Asian HapMap populations. 2642 26


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