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Genetic Analysis of HIV-1 Subtypes in Nairobi, Kenya

BACKGROUND: Genetic analysis of a viral infection helps in following its spread in a given population, in tracking the routes of infection and, where applicable, in vaccine design. Additionally, sequence analysis of the viral genome provides information about patterns of genetic divergence that may...

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Autores principales: Khoja, Suhail, Ojwang, Peter, Khan, Saeed, Okinda, Nancy, Harania, Reena, Ali, Syed
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2527130/
https://www.ncbi.nlm.nih.gov/pubmed/18784834
http://dx.doi.org/10.1371/journal.pone.0003191
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author Khoja, Suhail
Ojwang, Peter
Khan, Saeed
Okinda, Nancy
Harania, Reena
Ali, Syed
author_facet Khoja, Suhail
Ojwang, Peter
Khan, Saeed
Okinda, Nancy
Harania, Reena
Ali, Syed
author_sort Khoja, Suhail
collection PubMed
description BACKGROUND: Genetic analysis of a viral infection helps in following its spread in a given population, in tracking the routes of infection and, where applicable, in vaccine design. Additionally, sequence analysis of the viral genome provides information about patterns of genetic divergence that may have occurred during viral evolution. OBJECTIVE: In this study we have analyzed the subtypes of Human Immunodeficiency Virus -1 (HIV-1) circulating in a diverse sample population of Nairobi, Kenya. METHODOLOGY: 69 blood samples were collected from a diverse subject population attending the Aga Khan University Hospital in Nairobi, Kenya. Total DNA was extracted from peripheral blood mononuclear cells (PBMCs), and used in a Polymerase Chain Reaction (PCR) to amplify the HIV gag gene. The PCR amplimers were partially sequenced, and alignment and phylogenetic analysis of these sequences was performed using the Los Alamos HIV Database. RESULTS: Blood samples from 69 HIV-1 infected subjects from varying ethnic backgrounds were analyzed. Sequence alignment and phylogenetic analysis showed 39 isolates to be subtype A, 13 subtype D, 7 subtype C, 3 subtype AD and CRF01_AE, 2 subtype G and 1 subtype AC and 1 AG. Deeper phylogenetic analysis revealed HIV subtype A sequences to be highly divergent as compared to subtypes D and C. CONCLUSION: Our analysis indicates that HIV-1 subtypes in the Nairobi province of Kenya are dominated by a genetically diverse clade A. Additionally, the prevalence of highly divergent, complex subtypes, intersubtypes, and the recombinant forms indicates viral mixing in Kenyan population, possibly as a result of dual infections.
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spelling pubmed-25271302008-09-11 Genetic Analysis of HIV-1 Subtypes in Nairobi, Kenya Khoja, Suhail Ojwang, Peter Khan, Saeed Okinda, Nancy Harania, Reena Ali, Syed PLoS One Research Article BACKGROUND: Genetic analysis of a viral infection helps in following its spread in a given population, in tracking the routes of infection and, where applicable, in vaccine design. Additionally, sequence analysis of the viral genome provides information about patterns of genetic divergence that may have occurred during viral evolution. OBJECTIVE: In this study we have analyzed the subtypes of Human Immunodeficiency Virus -1 (HIV-1) circulating in a diverse sample population of Nairobi, Kenya. METHODOLOGY: 69 blood samples were collected from a diverse subject population attending the Aga Khan University Hospital in Nairobi, Kenya. Total DNA was extracted from peripheral blood mononuclear cells (PBMCs), and used in a Polymerase Chain Reaction (PCR) to amplify the HIV gag gene. The PCR amplimers were partially sequenced, and alignment and phylogenetic analysis of these sequences was performed using the Los Alamos HIV Database. RESULTS: Blood samples from 69 HIV-1 infected subjects from varying ethnic backgrounds were analyzed. Sequence alignment and phylogenetic analysis showed 39 isolates to be subtype A, 13 subtype D, 7 subtype C, 3 subtype AD and CRF01_AE, 2 subtype G and 1 subtype AC and 1 AG. Deeper phylogenetic analysis revealed HIV subtype A sequences to be highly divergent as compared to subtypes D and C. CONCLUSION: Our analysis indicates that HIV-1 subtypes in the Nairobi province of Kenya are dominated by a genetically diverse clade A. Additionally, the prevalence of highly divergent, complex subtypes, intersubtypes, and the recombinant forms indicates viral mixing in Kenyan population, possibly as a result of dual infections. Public Library of Science 2008-09-11 /pmc/articles/PMC2527130/ /pubmed/18784834 http://dx.doi.org/10.1371/journal.pone.0003191 Text en Khoja et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Khoja, Suhail
Ojwang, Peter
Khan, Saeed
Okinda, Nancy
Harania, Reena
Ali, Syed
Genetic Analysis of HIV-1 Subtypes in Nairobi, Kenya
title Genetic Analysis of HIV-1 Subtypes in Nairobi, Kenya
title_full Genetic Analysis of HIV-1 Subtypes in Nairobi, Kenya
title_fullStr Genetic Analysis of HIV-1 Subtypes in Nairobi, Kenya
title_full_unstemmed Genetic Analysis of HIV-1 Subtypes in Nairobi, Kenya
title_short Genetic Analysis of HIV-1 Subtypes in Nairobi, Kenya
title_sort genetic analysis of hiv-1 subtypes in nairobi, kenya
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2527130/
https://www.ncbi.nlm.nih.gov/pubmed/18784834
http://dx.doi.org/10.1371/journal.pone.0003191
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