Literature DB >> 11274729

Frequency of CCR5 gene 32-basepair deletion in Chilean HIV-1 infected and non-infected individuals.

C Desgranges1, P Carvajal, A Afani, M A Guzman, A Sasco, C Sepulveda.   

Abstract

A 32-basepair deletion polymorphism in the CCR5 chemokine receptor gene (CCR5Delta32) has been identified and shown to have functional significance in determining susceptibility to infection by human immunodeficiency virus type 1 (HIV-1) and possibly in influencing disease progression in HIV-1 positive individuals. These findings led to an interest in studies of DeltaCCR5 allele geographical distribution in human population, for complete understanding of the role of CCR5 in HIV-1 epidemiology. Inter-population variation in CCR5Delta32 frequency may be a significant factor in the prediction of AIDS endemicity. In this report we assessed the frequency of DeltaCCR5 in a Chilean population (63 HIV-1 infected and 62 non-infected individuals). No homozygous CCR5Delta32 individual was identified, and no significant difference was observed between HIV-1 infected (3/63) and non-infected (3/62) individuals for the heterozygote CCR5Delta32 state. This is the first evidence of the contribution of DeltaCCR5 allele to the genetic background of the Chilean population, which is characterized by intense ethnic admixture and by gene flow from the European Spanish gene pool.

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Year:  2001        PMID: 11274729     DOI: 10.1016/s0165-2478(00)00328-x

Source DB:  PubMed          Journal:  Immunol Lett        ISSN: 0165-2478            Impact factor:   3.685


  2 in total

1.  Analysis of the CCR5 gene coding region diversity in five South American populations reveals two new non-synonymous alleles in Amerindians and high CCR5*D32 frequency in Euro-Brazilians.

Authors:  Angelica B W Boldt; Lodércio Culpi; Luiza T Tsuneto; Ilíada R Souza; Jürgen F J Kun; Maria Luiza Petzl-Erler
Journal:  Genet Mol Biol       Date:  2009-01-16       Impact factor: 1.771

2.  The CCR5-Delta32 Genetic Polymorphism and HIV-1 Infection Susceptibility: a Meta-analysis.

Authors:  Jun Ni; Dan Wang; Sheng Wang
Journal:  Open Med (Wars)       Date:  2018-10-16
  2 in total

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