Literature DB >> 8946474

Identification and prevalence study of 17 allelic variants of the human NAT2 gene in a white population.

J A Agúndez1, M Olivera, C Martínez, J M Ladero, J Benítez.   

Abstract

The prevalence and distribution of seven point mutations at the coding region of the highly polymorphic NAT2 gene were studied in 1008 chromosomes from healthy Spanish subjects. Most of the genes studied (78.4%) had one or more mutations, distributed in seventeen allelic variants of the NAT2 gene. Three alleles were present at high frequencies, namely NAT2*5B (41.6%), NAT2*6A (23.6%) and NAT2*4 (21.6%). The frequencies for the rest of alleles were: NAT2*12A (2.5%), NAT2*6B (2.0%), NAT2*13 (1.9%), NAT2*5A (1.5%), NAT2*7B (1.2%), NAT2*12C (1.0%), NAT2*5C (0.8%), NAT2*14C (0.8%), NAT2*14A (0.6%), NAT2*5D (0.3%), NAT2*12B (0.2%), and NAT2*14D (0.1%). In addition, we identified two new allelic variants with mutations at 191A + 341C + 803G (0.1%) and 282T + 590A + 803G (0.3%) which to our knowledge are described here for the first time. No other combination of mutations was identified, including the previously described allelic variants NAT2*14B, NAT2*14E, NAT2*5E and NAT2*7A. The phenotype predictive capacity of simplified PCR tests including analyses for mutations at 341C and 590A, and more sophisticated tests analysing seven mutations revealed that, in the population studied, the analysis of these two mutations is enough to predict as rapid acetylators over 99.5% subjects with two rapid genes, and about 94% subjects with one rapid gene. Given a prevalence of poor acetylators of about 55% subjects, the simplified analysis would predict the phenotype in about 97.5% subjects.

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Year:  1996        PMID: 8946474

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


  12 in total

1.  Catalytic properties and heat stabilities of novel recombinant human N-acetyltransferase 2 allozymes support existence of genetic heterogeneity within the slow acetylator phenotype.

Authors:  David W Hein; Mark A Doll
Journal:  Arch Toxicol       Date:  2017-05-18       Impact factor: 5.153

2.  Inter-ethnic differences in genetic polymorphisms of xenobiotic-metabolizing enzymes (CYP1A1, CYP2D6, NAT1 and NAT2) in healthy populations: correlation with the functional in silico prediction.

Authors:  Rim Khlifi; Ghada Ben Salah; Amine Chakroun; Amel Hamza-Chaffai; Ahmed Rebai
Journal:  Mol Biol Rep       Date:  2014-06-17       Impact factor: 2.316

3.  The influence of various genotypes on the metabolic activity of NAT2 in a Chinese population.

Authors:  Bing Chen; Wei-Xia Zhang; Wei-Min Cai
Journal:  Eur J Clin Pharmacol       Date:  2006-03-29       Impact factor: 2.953

Review 4.  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

5.  Expression of NAT2 in immune system cells and the relation of NAT2 gene polymorphisms in the anti-tuberculosis therapy in Mexican mestizo population.

Authors:  R Salazar-González; R Gómez; S Romano-Moreno; S Medellín-Garibay; A Núñez-Ruíz; M Magaña-Aquino; R C Milán-Segovia; D P Portales-Pérez
Journal:  Mol Biol Rep       Date:  2014-08-28       Impact factor: 2.316

6.  Arylamine N-acetyltransferase-2 genotypes in the Thai population.

Authors:  Veerapol Kukongviriyapan; Auemduan Prawan; Wichittra Tassaneyakul; Jareerat Aiemsa-Ard; Benjamart Warasiha
Journal:  Br J Clin Pharmacol       Date:  2003-03       Impact factor: 4.335

7.  Interethnic diversity of NAT2 polymorphisms in Brazilian admixed populations.

Authors:  Jhimmy Talbot; Luiz Alexandre V Magno; Cinthia V N Santana; Sandra M B Sousa; Paulo R S Melo; Ronan X Correa; Giuliano Di Pietro; Fabrício Rios-Santos
Journal:  BMC Genet       Date:  2010-10-05       Impact factor: 2.797

Review 8.  Polymorphisms of xenobiotic-metabolizing enzymes and susceptibility to cancer.

Authors:  A Hirvonen
Journal:  Environ Health Perspect       Date:  1999-02       Impact factor: 9.031

9.  Inferring haplotypes at the NAT2 locus: the computational approach.

Authors:  Audrey Sabbagh; Pierre Darlu
Journal:  BMC Genet       Date:  2005-06-02       Impact factor: 2.797

10.  Evaluation of Oxidative Stress Response Related Genetic Variants, Pro-oxidants, Antioxidants and Prostate Cancer.

Authors:  Nicole Lavender; David W Hein; Guy Brock; La Creis R Kidd
Journal:  AIMS Med Sci       Date:  2015-09-10
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