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)

Much of the individual variation in drug response is due to genetic drug metabolic polymorphisms. Clinically relevant examples include acetylator status; cytochrome P450 2D6, 2C9 and 2C19 polymorphisms; and thiopurine methyltransferase deficiency. It is important to be aware of which drugs are subject to pharmacogenetic variability. In the future, population-based pharmacogenetic testing will allow more individualized drug treatment and will avoid the current empiricism.
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PMID:Increasing relevance of pharmacogenetics of drug metabolism in clinical practice. 1172 61

FDA issued guidance for industry regarding pharmarcogenomic data submission this year. Polymorphic cytochrome P450 2D6 and thiopurine S-methyltransferase in patients are now considered biomarkers for drugs which are predominantly metabolized by these enzymes. This article reviews current efforts to treat pharmacogenomic data for new drug development and personalized medicines.
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PMID:[Pharmacogenomic data for personalized medicines]. 1628 21

Pharmacogenomics is the study of the association between inter-individual genetic differences and drug responses. Researches in pharmacogenomics have been performed in compliance with the use of several genotyping technologies. In this study, a total of 392 single-nucleotide polymorphisms (SNPs) located in 141 pharmacogenes, including 21 phase I, 13 phase II, 18 transporter and 5 modifier genes, were selected and genotyped in 150 subjects using the GoldenGate assay or the SNaPshot technique. These variants were in Hardy-Weinberg equilibrium (HWE) (P>0.05), except for 22 SNPs. Genotyping of the 392 SNPs revealed that the minor allele frequencies of 47 SNPs were <0.05, 105 SNPs were monomorphic and 22 variants were not in HWE. Also, based on previous studies, we predicted the association between the polymorphisms of certain pharmacogenes, such as cytochrome P450 2D6, cytochrome P450 2C9, vitamin K epoxide reductase complex, subunit 1, cytochrome P450 2C19, human leukocyte antigen, class I, B and thiopurine S-methyltransferase, and drug efficacy. In conclusion, our study demonstrated the allele distribution of SNPs in 141 pharmacogenes as determined by high-throughput screening. Our results may be helpful in developing personalized medicines by using pharmacogene polymorphisms.
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PMID:Screening for 392 polymorphisms in 141 pharmacogenes. 2494 90