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Metabolizer phenotype prediction in different Peruvian ethnic groups through CYP2C9 polymorphisms

Metabolizer phenotype prediction in different Peruvian ethnic groups through CYP2C9 polymorphisms AbstractObjectivesThe CYP2C9 gene have three common alleles, CYP2C9*1, CYP2C9*2 and CYP2C9*3, associated with different homozygous (*1/*1, *2/*2 and *3/*3) and heterozygous (*1/*2 and *1/*3) genotypes, which in turn are related to extensive (gEM), intermediate (gIM) and poor (gPM) metabolizers. Likewise, the inter-ethnic variability was intimately associated with different drug metabolism. Therefore, the aim of the present study was predict the metabolizer phenotypes in different Peruvian ethnic groups from lowland (<2,500 m) and highland (>2,500 m).MethodsTaqMan genotyping assays were performed in a group of 174 healthy unrelated Peruvian individuals.ResultsIn this study, the allelic comparison between the three eco-regions showed that the CYP2C9*1 was the most common in Andean (96.32%); the *2 was the most frequent in Coast (7.45%, p<0.05). Regarding the *3 was the most common in Amazonian (6.25%, p<0.05). In a corroborative manner, the gEM was the most common in Andean (94.74%), the gIM in Coast (17.02%) and gPM in Amazonian (6.25%) populations.ConclusionsOur study provides a valuable source of information about to metabolizer phenotype drugs in different Peruvian ethnic groups. In this way, it could be established suitable genetic-dosage medicaments for various common diseases in these heterogenetic populations. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Drug Metabolism and Personalized Therapy de Gruyter

Metabolizer phenotype prediction in different Peruvian ethnic groups through CYP2C9 polymorphisms

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Publisher
de Gruyter
Copyright
© 2021 Walter de Gruyter GmbH, Berlin/Boston
eISSN
2363-8915
DOI
10.1515/dmpt-2020-0146
Publisher site
See Article on Publisher Site

Abstract

AbstractObjectivesThe CYP2C9 gene have three common alleles, CYP2C9*1, CYP2C9*2 and CYP2C9*3, associated with different homozygous (*1/*1, *2/*2 and *3/*3) and heterozygous (*1/*2 and *1/*3) genotypes, which in turn are related to extensive (gEM), intermediate (gIM) and poor (gPM) metabolizers. Likewise, the inter-ethnic variability was intimately associated with different drug metabolism. Therefore, the aim of the present study was predict the metabolizer phenotypes in different Peruvian ethnic groups from lowland (<2,500 m) and highland (>2,500 m).MethodsTaqMan genotyping assays were performed in a group of 174 healthy unrelated Peruvian individuals.ResultsIn this study, the allelic comparison between the three eco-regions showed that the CYP2C9*1 was the most common in Andean (96.32%); the *2 was the most frequent in Coast (7.45%, p<0.05). Regarding the *3 was the most common in Amazonian (6.25%, p<0.05). In a corroborative manner, the gEM was the most common in Andean (94.74%), the gIM in Coast (17.02%) and gPM in Amazonian (6.25%) populations.ConclusionsOur study provides a valuable source of information about to metabolizer phenotype drugs in different Peruvian ethnic groups. In this way, it could be established suitable genetic-dosage medicaments for various common diseases in these heterogenetic populations.

Journal

Drug Metabolism and Personalized Therapyde Gruyter

Published: May 14, 2021

Keywords: allelic variants; ethnic population; genotyping; metabolizer phenotype

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