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Pharmacogenetics ; 12(1): 39-48, 2002 Jan.
Article in English | MEDLINE | ID: mdl-11773863

ABSTRACT

Six NAT2 single-nucleotide polymorphisms (SNPs) were analysed in 105 unrelated Ngawbe and 136 unrelated Embera Amerindians (482 chromosomes) by SNP-specific polymerase chain reaction analysis. 282C>T was the most common synonymous mutation, while 857G>A was the most frequent nonsynonymous inactivating exchange. The allelic frequency of the NAT2*5 series (containing the 341T>C exchange) was 2.4% and 9.9% for Ngawbe and Embera, respectively, five- to 20-times lower than that in Caucasians. The NAT2*6 series (590G>A) showed allelic frequencies of 0% and 3.7%, eight- to 30-times lower than in Caucasians. On the other hand, the NAT2*7 series, characterized by mutation 857G>A, had allelic frequencies (23.3% and 22.8%) that were 10-20-times higher in Amerindians than in Caucasians. Amerindians are characterized by decreased genetic diversity because they display a low number of mutated alleles (four and five for Ngawbe and Embera, respectively) that are present at low proportions (27.6% and 39%), reduced genotypic variability (seven out of 15 and 12 out of 21 possible genotypes) and low heterozygosity (40% and 55.1%) at the NAT2 locus. The NAT2 phenotype was evaluated with caffeine in a subset of 72 Embera. There were no disagreements between genotype and phenotype among rapid and slow acetylators (13/72, 18%). We conclude that, in the Embera, the analysis of three inactivating mutations was sufficient in predicting the phenotype in more than 99.5% of these subjects. NAT2 would appear to be of a selectively neutral character given that there is no evidence of adaptation to the prevailing ecology in Amerindians.


Subject(s)
Arylamine N-Acetyltransferase/genetics , Caffeine , Indians, Central American/genetics , Indians, South American/genetics , Polymorphism, Single Nucleotide/genetics , Acetylation , Evolution, Molecular , Gene Frequency , Genetic Variation , Genotype , Humans , Models, Genetic , Panama , Phenotype , Selection, Genetic
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