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

Severe pancytopenia due to azathioprine (AZA) toxicity in patients with autoimmune diseases is not uncommon. We describe a 14-year-old girl with HLA-B27+ spondylarthritis who was treated with AZA 3 mg/kg/day and who suddenly developed severe pancytopenia in the seventh week of treatment. Analysis of the catabolic pathway of AZA revealed a homozygous deficiency of thiopurine methyltransferase (TPMT) on the basis of a combined 2-point mutation at nucleotide positions 460 and 719 in the gene for TPMT, causing a toxic level of the metabolic active 6-thioguanine nucleotides (6-TGN) (2,394 pmoles/8 x 10(8) red blood cells). The patient was transfusion dependent and finally recovered 8 weeks after the development of the pancytopenia. At that time, 6-TGN had already returned to normal therapeutic levels. Family studies revealed another homozygous deficiency in the mother, while the other family members were heterozygous.
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PMID:Azathioprine-induced severe pancytopenia due to a homozygous two-point mutation of the thiopurine methyltransferase gene in a patient with juvenile HLA-B27-associated spondylarthritis. 977 38

Several proofs of principle have established that pharmacogenetic testing for mutations altering expression and functions of genes associated with drug disposition and response can decrease the "trial-and-error" dosing and reduce the risk of adverse drug reactions. These proofs of principle include thiopurine methyltransferase and thiopurine therapy, dihydropyrimidine dehydrogenase/thymidylate synthase and 5-fluorouracil therapy, folate enzyme MTHFR and methotrexate therapy, UGT1A1 and irinotecan therapy and CYP450 2C9 and S-warfarin therapy. These evidences advocate for the prospective identification of mutations associated with drug response, serious adverse reactions and treatment failure. More recent evidence with the HLA basis of hypersensitivity to the retroviral agent abacavir demonstrates the potential of pharmacogenetic testing and its pharmacoeconomic implications. With the convergence of rising drug costs and evidence supporting the clinical benefits of pharmacogenetic testing, it will be important to demonstrate the improved net health outcomes attributed to the additional costs for this testing.
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PMID:Pharmacogenetic testing: proofs of principle and pharmacoeconomic implications. 1582 47

Rheumatoid arthritis (RA) is a heterogeneous autoimmune disorder of unknown cause with variable clinical expression. About 70% of patients are women. Genetic factors play an important role and likely account for about 60% of disease susceptibility and expression. The association with the HLA-DRB1 gene is the best understood, although several non-HLA loci have been linked to RA, including the 18q21 region of the TNFRSR11A gene, which encodes the receptor activator of nuclear factor kappaB, important in bone resorption in RA. Genetic factors are also important in the treatment of RA because the activity of enzymes relevant in the metabolism of drugs such as methotrexate and azathioprine, including methylenetetrahydrofolate reductase and thiopurine methyltransferase, are in part genetically determined.
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PMID:Genetics of rheumatoid arthritis. 1643 85

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

Pharmacogenomics strives to explain the interindividual variability in response to drugs due to genetic variation. Although technological advances have provided us with relatively easy and cheap methods for genotyping, promises about personalised medicine have not yet met our high expectations. Successful results that have been achieved within the field of pharmacogenomics so far are, to name a few, HLA-B*5701 screening to avoid hypersensitivity to the antiretroviral abacavir, thiopurine S-methyltransferase (TPMT) genotyping to avoid thiopurine toxicity, and CYP2C9 and VKORC1 genotyping for better dosing of the anticoagulant warfarin. However, few pharmacogenetic examples have made it into clinical practice in the treatment of complex diseases. Unfortunately, lack of reproducibility of results from observational studies involving many genes and diseases seems to be a common pattern in pharmacogenomic studies. In this article we address some of the methodological and statistical issues within study design, gene and single nucleotide polymorphism (SNP) selection and data analysis that should be considered in future pharmacogenomic research. First, we discuss some of the issues related to the design of epidemiological studies, specific to pharmacogenomic research. Second, we describe some of the pros and cons of a candidate gene approach (including gene and SNP selection) and a genome-wide scan approach. Finally, conventional as well as several innovative approaches to the analysis of large pharmacogenomic datasets are proposed that deal with the issues of multiple testing and systems biology in different ways.
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PMID:Methodological and statistical issues in pharmacogenomics. 2048 94

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

Pharmacogenetics has substantially added to our understanding of the variability of drug response. A number of single gene markers have been established and are ready to use in clinical practice. Here we review the validity and utility of markers in a number of genes (CYP2D6, CYP2C19, CYP2C9, VKORC1, TPMT, UGT1A1, OATP1B1, KRAS and HLA locus) for therapy decisions. As drug response is a complex trait in the majority of cases, most of the identified functional variants will only explain a limited part of the variability of drug response. In this sense, a phenotype is the product of many low-penetrance variations. Technical progress has not only improved the cost-effectiveness of screening for single gene markers, but offers the possibility of generating vast amounts of genome-wide single nucleotide polymorphism (SNP) or sequence data for each patient. The latest challenge is to incorporate these amounts of data into pharmacogenetic decision support. We discuss here the challenges associated with choosing the correct therapy for patients who present to their physicians with personal genome data.
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PMID:Pharmacogenetic screening for drug therapy: from single gene markers to decision making in the next generation sequencing era. 2222 55

Cleveland Clinic (OH, USA) launched the Center for Personalized Healthcare in 2011 to establish an evidence-based system for individualizing care by incorporating unique patient characteristics, including but not limited to genetic and family health history information, into the standard medical decision-making process. Using MyFamily, a web-based tool integrated into our electronic health record, a patient's family health history is used as a surrogate for genetic, environmental and behavioral risks to identify those with an elevated probability of developing disease. Complementing MyFamily, the Personalized Medication Program was created for the purpose of identifying gene-drug pairs for integration into clinical practice and developing the implementation tools needed to incorporate pharmacogenomics into the clinical workflow. We have successfully implemented the gene-drug pairs HLA-B*57:01-abacavir and TPMT-thiopurines into patient care. Our efforts to establish personalized medical care at Cleveland Clinic may serve as a model for large-scale integration of personalized healthcare.
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PMID:Cleveland Clinic's Center for personalized healthcare: setting the stage for value-based care. 2479 15

Pharmacogenetics (PGx) is the study of the relationship between inter-individual genetic variation and drug responses. Germline variants of genes involved in drug metabolism, drug transport, and drug targets can affect individual response to medications. Cancer therapies are characterized by an intrinsically high toxicity; therefore, the application of pharmacogenetics to cancer patients is a particularly promising method for avoiding the use of inefficacious drugs and preventing the associated adverse effects. However, despite continuing efforts in this field, very few labels include information about germline genetic variants associated with drug responses. DPYD, TPMT, UGT1A1, G6PD, CYP2D6, and HLA are the sole loci for which the European Medicines Agency (EMA) and the US Food and Drug Administration (FDA) report specific information. This review highlights the germline PGx variants that have been approved to date for anticancer treatments, and also provides some insights about other germline variants with potential clinical applications. The continuous and rapid evolution of next-generation sequencing applications, together with the development of computational methods, should help to refine the implementation of personalized medicine. One day, clinicians may be able to prescribe the best treatment and the correct drug dosage based on each patient's genotype. This approach would improve treatment efficacy, reduce toxicity, and predict non-responders, thereby decreasing chemotherapy-associated morbidity and improving health benefits.
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PMID:Germline oncopharmacogenetics, a promising field in cancer therapy. 2557 79

Azathioprine and 6-mercaptopurine remain pivotal therapies for the maintenance of disease remission in patients with Crohn's disease and ulcerative colitis. While thiopurine S-methyltransferase deficiency was the first pharmacogenetic phenomenon to be recognized to influence thiopurine toxicity and reliably predict leukopenia, it does not predict other adverse effects, nor does it explain most cases of thiopurine resistance. In recent years, a number of other genetic polymorphisms have received increasing attention in the literature. In particular, SNPs in NUDT15 and in the class II HLA locus have been shown to predict thiopurine-related leukopenia and pancreatitis. The aim of this review is to provide a concise update of genetic variability which may influence patient response to azathioprine and 6-mercaptopurine.
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PMID:Update on thiopurine pharmacogenetics in inflammatory bowel disease. 2606 82


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