Genetic variability of cyp3a4 in a heterogeneous brazilian population from maranhao

Genetic variability of cyp3a4 in a heterogeneous brazilian population from maranhao

Autor Moutinho Monteiro, S. C. Google Scholar
de Sousa, I. H. Google Scholar
Pereira Belfort, I. K. Google Scholar
Nunes, J. D. Google Scholar
Sousa Penha, B. A. Google Scholar
dos Santos, M. Google Scholar
Drumond Louro, I. Google Scholar
Guerreiro da Silva, I. D. C. Autor UNIFESP Google Scholar
Resumo Inter-individual variability in drug metabolism may result in adverse drug responses. Pharmacogenetic studies have shown that polymorphisms in drug metabolizing enzymes may contribute to this variability. Among these enzymes, CYP3A4 is responsible for metabolizing over 50% of the clinically used drugs. The Brazilian population is composed of people with Native American, European, and African ancestries, and is therefore considered as one of the most intermixed populations in the world. A thorough knowledge of the genetic frequencies of CYP3A4 allelic variants is useful for the establishment of better pharmacological therapies

therefore, the aim of this study was to describe the polymorphic frequencies for CYP3A4 -392A>G (rs2740574) in a sample population from Maranhao, Brazil. Our results showed that 75.1, 21.9, and 3.0% of the individuals expressed the -392AA, -392AG, and -392GG genotypes, respectively. The -392A and -392G alleles were observed in 86.1 and 13.9% of the population, respectively. Our results reiterate the need for a better understanding of the variations in the genotype and allele frequencies of CYP3A4 -392A>G polymorphisms in various Brazilian regions, in order to elucidate the variability in drug response.
Assunto Cyp3a4(Star)1b
Genetic Variability
Drug Metabolism
Idioma Inglês
Financiador CAPES
Data 2016
Publicado em Genetics And Molecular Research. Ribeirao preto, v. 15, n. 1, p. UNSP gmr.15017275, 2016.
ISSN 1676-5680 (Sherpa/Romeo, fator de impacto)
Editor Funpec-editora
Extensão UNSP gmr.15017275
Direito de acesso Acesso aberto Open Access
Tipo Artigo
Web of Science WOS:000373880200030

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