The contribution of viral genotype to plasma viral set-point in HIV infection.

Disease progression in HIV-infected individuals varies greatly, and while the environmental and host factors influencing this variation have been widely investigated, the viral contribution to variation in set-point viral load, a predictor of disease progression, is less clear. Previous studies, usi...

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Autores principales: Emma Hodcroft, Jarrod D Hadfield, Esther Fearnhill, Andrew Phillips, David Dunn, Siobhan O'Shea, Deenan Pillay, Andrew J Leigh Brown, UK HIV Drug Resistance Database, UK CHIC Study
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Publicado: Public Library of Science (PLoS) 2014
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Acceso en línea:https://doaj.org/article/7ae06fb121e04d7289ac1c7d9c4dc792
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spelling oai:doaj.org-article:7ae06fb121e04d7289ac1c7d9c4dc7922021-11-18T06:06:38ZThe contribution of viral genotype to plasma viral set-point in HIV infection.1553-73661553-737410.1371/journal.ppat.1004112https://doaj.org/article/7ae06fb121e04d7289ac1c7d9c4dc7922014-05-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24789308/?tool=EBIhttps://doaj.org/toc/1553-7366https://doaj.org/toc/1553-7374Disease progression in HIV-infected individuals varies greatly, and while the environmental and host factors influencing this variation have been widely investigated, the viral contribution to variation in set-point viral load, a predictor of disease progression, is less clear. Previous studies, using transmission-pairs and analysis of phylogenetic signal in small numbers of individuals, have produced a wide range of viral genetic effect estimates. Here we present a novel application of a population-scale method based in quantitative genetics to estimate the viral genetic effect on set-point viral load in the UK subtype B HIV-1 epidemic, based on a very large data set. Analyzing the initial viral load and associated pol sequence, both taken before anti-retroviral therapy, of 8,483 patients, we estimate the proportion of variance in viral load explained by viral genetic effects to be 5.7% (CI 2.8-8.6%). We also estimated the change in viral load over time due to selection on the virus and environmental effects to be a decline of 0.05 log10 copies/mL/year, in contrast to recent studies which suggested a reported small increase in viral load over the last 20 years might be due to evolutionary changes in the virus. Our results suggest that in the UK epidemic, subtype B has a small but significant viral genetic effect on viral load. By allowing the analysis of large sample sizes, we expect our approach to be applicable to the estimation of the genetic contribution to traits in many organisms.Emma HodcroftJarrod D HadfieldEsther FearnhillAndrew PhillipsDavid DunnSiobhan O'SheaDeenan PillayAndrew J Leigh BrownUK HIV Drug Resistance DatabaseUK CHIC StudyPublic Library of Science (PLoS)articleImmunologic diseases. AllergyRC581-607Biology (General)QH301-705.5ENPLoS Pathogens, Vol 10, Iss 5, p e1004112 (2014)
institution DOAJ
collection DOAJ
language EN
topic Immunologic diseases. Allergy
RC581-607
Biology (General)
QH301-705.5
spellingShingle Immunologic diseases. Allergy
RC581-607
Biology (General)
QH301-705.5
Emma Hodcroft
Jarrod D Hadfield
Esther Fearnhill
Andrew Phillips
David Dunn
Siobhan O'Shea
Deenan Pillay
Andrew J Leigh Brown
UK HIV Drug Resistance Database
UK CHIC Study
The contribution of viral genotype to plasma viral set-point in HIV infection.
description Disease progression in HIV-infected individuals varies greatly, and while the environmental and host factors influencing this variation have been widely investigated, the viral contribution to variation in set-point viral load, a predictor of disease progression, is less clear. Previous studies, using transmission-pairs and analysis of phylogenetic signal in small numbers of individuals, have produced a wide range of viral genetic effect estimates. Here we present a novel application of a population-scale method based in quantitative genetics to estimate the viral genetic effect on set-point viral load in the UK subtype B HIV-1 epidemic, based on a very large data set. Analyzing the initial viral load and associated pol sequence, both taken before anti-retroviral therapy, of 8,483 patients, we estimate the proportion of variance in viral load explained by viral genetic effects to be 5.7% (CI 2.8-8.6%). We also estimated the change in viral load over time due to selection on the virus and environmental effects to be a decline of 0.05 log10 copies/mL/year, in contrast to recent studies which suggested a reported small increase in viral load over the last 20 years might be due to evolutionary changes in the virus. Our results suggest that in the UK epidemic, subtype B has a small but significant viral genetic effect on viral load. By allowing the analysis of large sample sizes, we expect our approach to be applicable to the estimation of the genetic contribution to traits in many organisms.
format article
author Emma Hodcroft
Jarrod D Hadfield
Esther Fearnhill
Andrew Phillips
David Dunn
Siobhan O'Shea
Deenan Pillay
Andrew J Leigh Brown
UK HIV Drug Resistance Database
UK CHIC Study
author_facet Emma Hodcroft
Jarrod D Hadfield
Esther Fearnhill
Andrew Phillips
David Dunn
Siobhan O'Shea
Deenan Pillay
Andrew J Leigh Brown
UK HIV Drug Resistance Database
UK CHIC Study
author_sort Emma Hodcroft
title The contribution of viral genotype to plasma viral set-point in HIV infection.
title_short The contribution of viral genotype to plasma viral set-point in HIV infection.
title_full The contribution of viral genotype to plasma viral set-point in HIV infection.
title_fullStr The contribution of viral genotype to plasma viral set-point in HIV infection.
title_full_unstemmed The contribution of viral genotype to plasma viral set-point in HIV infection.
title_sort contribution of viral genotype to plasma viral set-point in hiv infection.
publisher Public Library of Science (PLoS)
publishDate 2014
url https://doaj.org/article/7ae06fb121e04d7289ac1c7d9c4dc792
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