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Article

Infecting HIV-1 Subtype Predicts Disease Progression in Women of Sub-Saharan Africa.

EBioMedicine - 1 Nov 2016

Venner Colin M, Nankya Immaculate, Kyeyune Fred, Demers Korey, Kwok Cynthia, Chen Pai-Lien, Rwambuya Sandra, Munjoma Marshall, Chipato Tsungai, Byamugisha Josaphat, Van Der Pol Barbara, Mugyenyi Peter, Salata Robert A, Morrison Charles S, Arts Eric J

Abstract excerpt

INTRODUCTION: Long-term natural history cohorts of HIV-1 in the absence of treatment provide the best measure of virulence by different viral subtypes. METHODS: Newly HIV infected Ugandan and Zimbabwean women (N=303) were recruited and monitored for clinical, social, behavioral, immunological and viral parameters for 3 to 9.5years. RESULTS: Ugandan and Zimbabwean women infected with HIV-1 subtype C had 2.5-fold...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 27751765
DOI: 10.1016/j.ebiom.2016.10.014
PMCID: PMC5264310

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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