Literature DB >> 15226673

Comprehensive analysis of thiopurine S-methyltransferase phenotype-genotype correlation in a large population of German-Caucasians and identification of novel TPMT variants.

Elke Schaeffeler1, Christine Fischer, Dierk Brockmeier, Dorothee Wernet, Klaus Moerike, Michel Eichelbaum, Ulrich M Zanger, Matthias Schwab.   

Abstract

The thiopurine S-methyltransferase (TPMT) genetic polymorphism has a significant clinical impact on the toxicity of thiopurine drugs. It has been proposed that the identification of patients who are at high risk for developing toxicity on the basis of genotyping could be used to individualize drug treatment. In the present study, phenotype-genotype correlation of 1214 healthy blood donors was investigated to determine the accuracy of genotyping for correct prediction of different TPMT phenotypes. In addition, the influence of gender, age, nicotine and caffeine intake was examined. TPMT red blood cell activity was measured in all samples and genotype was determined for the TPMT alleles *2 and *3. Discordant cases between phenotype and genotype were systematically sequenced. A clearly defined trimodal frequency distribution of TPMT activity was found with 0.6% deficient, 9.9% intermediate and 89.5% normal to high methylators. The frequencies of the mutant alleles were 4.4% (*3A), 0.4% (*3C) and 0.2% (*2). All seven TPMT deficient subjects were homozygous or compound heterozygous carriers for these alleles. In 17 individuals with intermediate TPMT activity discordant to TPMT genotype, four novel variants were identified leading to amino acid changes (K119T, Q42E, R163H, G71R). Taking these new variants into consideration, the overall concordance rate between TPMT genetics and phenotypes was 98.4%. Specificity, sensitivity and the positive and negative predictive power of the genotyping test were estimated to be higher than 90%. Thus, the results of this study provide a solid basis to predict TPMT phenotype in a Northern European Caucasian population by molecular diagnostics.

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Year:  2004        PMID: 15226673     DOI: 10.1097/01.fpc.0000114745.08559.db

Source DB:  PubMed          Journal:  Pharmacogenetics        ISSN: 0960-314X


  98 in total

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4.  Modeling the Outcome of Systematic TPMT Genotyping or Phenotyping Before Azathioprine Prescription: A Cost-Effectiveness Analysis.

Authors:  Kevin Zarca; Isabelle Durand-Zaleski; Marie-Anne Loriot; Gilles Chatellier; Nicolas Pallet
Journal:  Mol Diagn Ther       Date:  2019-06       Impact factor: 4.074

5.  Epistatic interactions between thiopurine methyltransferase (TPMT) and inosine triphosphate pyrophosphatase (ITPA) variations determine 6-mercaptopurine toxicity in Indian children with acute lymphoblastic leukemia.

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Journal:  Eur J Clin Pharmacol       Date:  2011-10-19       Impact factor: 2.953

Review 6.  The role of pharmacogenetics in cancer therapeutics.

Authors:  Wei Peng Yong; Federico Innocenti; Mark J Ratain
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Review 7.  Pharmacogenetics in drug regulation: promise, potential and pitfalls.

Authors:  Rashmi R Shah
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-08-29       Impact factor: 6.237

8.  Association of thiopurine methyltransferase status with azathioprine side effects in Chinese patients with systemic lupus erythematosus.

Authors:  Dongying Chen; Fan Lian; Shiwen Yuan; Yixi Wang; Zhongping Zhan; Yujin Ye; Qian Qiu; Hanshi Xu; Liuqin Liang; Xiuyan Yang
Journal:  Clin Rheumatol       Date:  2013-12-10       Impact factor: 2.980

9.  Pharmacogenomic studies of the anticancer and immunosuppressive thiopurines mercaptopurine and azathioprine.

Authors:  Ahmed F Hawwa; Jeff S Millership; Paul S Collier; Koen Vandenbroeck; Anthony McCarthy; Sid Dempsey; Carole Cairns; John Collins; Colin Rodgers; James C McElnay
Journal:  Br J Clin Pharmacol       Date:  2008-06-28       Impact factor: 4.335

Review 10.  Pharmacogenetics and pharmacogenomics of anticancer agents.

Authors:  R Stephanie Huang; Mark J Ratain
Journal:  CA Cancer J Clin       Date:  2009 Jan-Feb       Impact factor: 508.702

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