Relationship between human genotype and phenotype of N-acetyltransferase (NAT2) as estimated by discriminant analysis and multiple linear regression: 1. Genotype and N-acetylation in vivo.

Abstract

Twenty-six healthy Caucasian subjects were evaluated for polymorphic N-acetyltransferase (NAT2) metabolic activity in vivo by sulfamethazine phenotyping and for their respective NAT2 genotype. Application of discriminant analysis allowed the separation of the rapid and slow acetylators solely on the base of their respective mutation pattern with identical results as achieved by the classical method of discrimination according to the phenotyping results. Multiple linear regression analysis was used to obtain a quantitative relationship between allelic pattern and the phenotypic outcome. It is shown that the computation methods produce relationships enabling the influence of particular mutations and/or allelic configurations on the metabolic activity in vivo to be estimated. This may be important in cases of discordant or overlapping phenotype and genotype results as well as in investigating the NAT2 polymorphism as a risk factor for cancer and other disease in epidemiological studies.