Algorithm for the Automated Evaluation of NAT2 Genotypes

Georg Michael; Ricarda Thier; Meinolf Blaszkewicz; Silvia Selinski; Klaus Golka

doi:10.1007/978-1-4939-7234-0_7

Algorithm for the Automated Evaluation of NAT2 Genotypes

Methods Mol Biol. 2018:1655:77-96. doi: 10.1007/978-1-4939-7234-0_7.

Authors

Georg Michael¹, Ricarda Thier^{2

3}, Meinolf Blaszkewicz², Silvia Selinski², Klaus Golka²

Affiliations

¹ , Waldstrasse 51, 79585, Steinen, Germany. georg_michael@arcor.de.
² Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund (IfADo), Dortmund, Germany.
³ School of Medicine, Griffith University, Gold Coast Campus, Southport, Australia.

PMID: 28889379
DOI: 10.1007/978-1-4939-7234-0_7

Abstract

N-Acetyltransferase 2 (NAT2) genotyping by PCR and RFLP-based methods provides information on seven single nucleotide polymorphisms (SNPs) without deriving the chromosomal phase (haplotype). So genotyping results must be processed to get all possible NAT2 haplotype (or allele) combinations. Here we describe the procedure for genotyping and present a program based on Microsoft^® Access^® which automatically generates all possible haplotype pairs for a given unphased NAT2 genotype. NAT2 haplotypes are important to predict the NAT2 phenotype.

Keywords: Alleles; Automated evaluation; Computer program; Genotyping; Haplotype; N-Acetyltransferase 2.

MeSH terms

Algorithms*
Arylamine N-Acetyltransferase / genetics*
Electrophoresis
Genotype*
Genotyping Techniques*
Haplotypes
Humans
Polymerase Chain Reaction / methods
Polymorphism, Single Nucleotide*
Restriction Mapping

Substances

Arylamine N-Acetyltransferase
NAT2 protein, human