Geographic HIV type 1 subtype distribution in Rakai district, Uganda

Aleisha N. Collinson-Streng; Andrew D. Redd; Nelson K. Sewankambo; David Serwadda; Mona Rezapour; Susanna L. Lamers; Ronald H. Gray; Maria J. Wawer; Thomas C. Quinn; Oliver Laeyendecker

doi:10.1089/aid.2009.0127

Geographic HIV type 1 subtype distribution in Rakai district, Uganda

Aleisha N. Collinson-Streng, Andrew D. Redd, Nelson K. Sewankambo, David Serwadda, Mona Rezapour, Susanna L. Lamers, Ronald H. Gray, Maria J. Wawer, Thomas C. Quinn, Oliver Laeyendecker

Bloomberg School of Public Health

Research output: Contribution to journal › Article › peer-review

20 Scopus citations

Abstract

To analyze HIV-1 subtype distribution, sequence analysis was performed on serum specimens obtained in 1994 from the Rakai Health Sciences community cohort in Uganda. Portions of gag-p24 and env-gp41 were sequenced and HIV subtype was determined for 773 subjects residing in 10 community clusters in rural Uganda. Subtypes A (17%) and D (70%) were the most common strains in the population. Subtype distribution varied by geographic region with significantly more subtype A in northern community clusters compared with southern clusters (21% vs. 8%, p < 0.001) and more subtype D in southern clusters compared with northern clusters (78% vs. 65%, p < 0.008). These data illustrate the geographic complexity of subtype variation, which has important implications for HIV-1 vaccine design.

Original language	English (US)
Pages (from-to)	1045-1048
Number of pages	4
Journal	AIDS research and human retroviruses
Volume	25
Issue number	10
DOIs	https://doi.org/10.1089/aid.2009.0127
State	Published - Oct 1 2009

ASJC Scopus subject areas

Immunology
Virology
Infectious Diseases

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10.1089/aid.2009.0127

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title = "Geographic HIV type 1 subtype distribution in Rakai district, Uganda",

abstract = "To analyze HIV-1 subtype distribution, sequence analysis was performed on serum specimens obtained in 1994 from the Rakai Health Sciences community cohort in Uganda. Portions of gag-p24 and env-gp41 were sequenced and HIV subtype was determined for 773 subjects residing in 10 community clusters in rural Uganda. Subtypes A (17%) and D (70%) were the most common strains in the population. Subtype distribution varied by geographic region with significantly more subtype A in northern community clusters compared with southern clusters (21% vs. 8%, p < 0.001) and more subtype D in southern clusters compared with northern clusters (78% vs. 65%, p < 0.008). These data illustrate the geographic complexity of subtype variation, which has important implications for HIV-1 vaccine design.",

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AU - Collinson-Streng, Aleisha N.

AU - Redd, Andrew D.

AU - Sewankambo, Nelson K.

AU - Serwadda, David

AU - Rezapour, Mona

AU - Lamers, Susanna L.

AU - Gray, Ronald H.

AU - Wawer, Maria J.

AU - Quinn, Thomas C.

AU - Laeyendecker, Oliver

PY - 2009/10/1

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AB - To analyze HIV-1 subtype distribution, sequence analysis was performed on serum specimens obtained in 1994 from the Rakai Health Sciences community cohort in Uganda. Portions of gag-p24 and env-gp41 were sequenced and HIV subtype was determined for 773 subjects residing in 10 community clusters in rural Uganda. Subtypes A (17%) and D (70%) were the most common strains in the population. Subtype distribution varied by geographic region with significantly more subtype A in northern community clusters compared with southern clusters (21% vs. 8%, p < 0.001) and more subtype D in southern clusters compared with northern clusters (78% vs. 65%, p < 0.008). These data illustrate the geographic complexity of subtype variation, which has important implications for HIV-1 vaccine design.

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Geographic HIV type 1 subtype distribution in Rakai district, Uganda

Abstract

ASJC Scopus subject areas

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