Literature DB >> 15558239

Re-investigation of the concordance of human NAT2 phenotypes and genotypes.

Hermann M Bolt1, Silvia Selinski, Doris Dannappel, Meinolf Blaszkewicz, Klaus Golka.   

Abstract

A comparative study of N-acetyltransferase 2 (NAT2) genotyping and phenotyping (caffeine test method) was performed on 211 persons to elucidate apparent discrepancies in the assignment of NAT2*12 and NAT2*13 alleles which occur in the literature. The study used the standard procedures of genotyping (two PCR runs and application of seven restriction enzymes) and phenotyping (determination of the two caffeine metabolites 5-acetylamino-6-formylamino-3-methyluracil (AFMU) and 1-methylxanthine (1X)), as documented in detail and validated by the Deutsche Forschungsgemeinschaft. The data were consistent with an AFMU/1X molar ratio of 0.85 as cut-off point (antimode) between phenotypically slow and rapid acetylators. Under this provision, several R/S allele combinations did not comply, either fully or partly, with their associated phenotypes. In particular, there was a wide phenotypic overlap of the alleged rapid allele combination groups (i) NAT2*12A/*5A; NAT2*12C/*5D; NAT2*4/*5B, (ii) NAT2*13/*6B; NAT2*4/*6A, and (iii) NAT2*13/*7A; NAT2*4/*7B. These groups obviously contained both phenotypically rapid and slow acetylators. If one assumes that the presence of one "wild type" allele NAT2*4 defines a rapid acetylator the assignment of the alleles NAT2*12A, NAT2*12C, and NAT*13 as determinants of a rapid acetylator phenotype must be questioned. This refers in particular to the nucleotide changes A803G (NAT2*12A, NAT2*12C) and C282T (NAT2*13). Based on discussions in the literature and the data presented here, there is accumulating evidence that current assignments of the NAT2*12 and NAT2*13 alleles as determinants of a rapid acetylator state should be reconsidered.

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Year:  2004        PMID: 15558239     DOI: 10.1007/s00204-004-0622-8

Source DB:  PubMed          Journal:  Arch Toxicol        ISSN: 0340-5761            Impact factor:   5.153


  15 in total

1.  Re-assessment of the influence of polymorphisms of phase-II metabolic enzymes on renal cell cancer risk of trichloroethylene-exposed workers.

Authors:  Bernd Wiesenhütter; Silvia Selinski; Klaus Golka; Thomas Brüning; Hermann M Bolt
Journal:  Int Arch Occup Environ Health       Date:  2007-05-04       Impact factor: 3.015

2.  Effects of single nucleotide polymorphisms in human N-acetyltransferase 2 on metabolic activation (O-acetylation) of heterocyclic amine carcinogens.

Authors:  David W Hein; Adrian J Fretland; Mark A Doll
Journal:  Int J Cancer       Date:  2006-09-01       Impact factor: 7.396

3.  Functional characterization of single-nucleotide polymorphisms and haplotypes of human N-acetyltransferase 2.

Authors:  Yu Zang; Mark A Doll; Shuang Zhao; J Christopher States; David W Hein
Journal:  Carcinogenesis       Date:  2007-04-13       Impact factor: 4.944

4.  Genetic heterogeneity among slow acetylator N-acetyltransferase 2 phenotypes in cryopreserved human hepatocytes.

Authors:  Mark A Doll; David W Hein
Journal:  Arch Toxicol       Date:  2017-05-17       Impact factor: 5.153

Review 5.  Structure/function evaluations of single nucleotide polymorphisms in human N-acetyltransferase 2.

Authors:  Jason M Walraven; Yu Zang; John O Trent; David W Hein
Journal:  Curr Drug Metab       Date:  2008-07       Impact factor: 3.731

Review 6.  Genotype-Guided Hydralazine Therapy.

Authors:  Kimberly S Collins; Anthony L J Raviele; Amanda L Elchynski; Alexander M Woodcock; Yang Zhao; Rhonda M Cooper-DeHoff; Michael T Eadon
Journal:  Am J Nephrol       Date:  2020-09-14       Impact factor: 3.754

Review 7.  PharmGKB summary: very important pharmacogene information for N-acetyltransferase 2.

Authors:  Ellen M McDonagh; Sotiria Boukouvala; Eleni Aklillu; David W Hein; Russ B Altman; Teri E Klein
Journal:  Pharmacogenet Genomics       Date:  2014-08       Impact factor: 2.089

Review 8.  N-acetyltransferase 2 genetic polymorphism: effects of carcinogen and haplotype on urinary bladder cancer risk.

Authors:  D W Hein
Journal:  Oncogene       Date:  2006-03-13       Impact factor: 9.867

9.  Population Pharmacokinetic Analysis of Isoniazid among Pulmonary Tuberculosis Patients from China.

Authors:  Wei Jing; Zhaojing Zong; Bohao Tang; Jing Wang; Tingting Zhang; Shu'an Wen; Yi Xue; Naihui Chu; Wei Zhao; Hairong Huang
Journal:  Antimicrob Agents Chemother       Date:  2020-02-21       Impact factor: 5.191

10.  The differential effect of NAT2 variant alleles permits refinement in phenotype inference and identifies a very slow acetylation genotype.

Authors:  Jhon D Ruiz; Carmen Martínez; Kristin Anderson; Myron Gross; Nicholas P Lang; Elena García-Martín; José A G Agúndez
Journal:  PLoS One       Date:  2012-09-06       Impact factor: 3.240

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