Estimating the Respective Contributions of Human and Viral Genetic Variation to HIV Control

We evaluated the fraction of variation in HIV-1 set point viral load attributable to viral or human genetic factors by using joint host/pathogen genetic data from 541 HIV infected individuals. We show that viral genetic diversity explains 29% of the variation in viral load while host factors explain...

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Autores principales: Bartha, István, McLaren, Paul J., Brumme, Chanson, Harrigan, Richard, Telenti, Amalio, Fellay, Jacques
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5300119/
https://www.ncbi.nlm.nih.gov/pubmed/28182649
http://dx.doi.org/10.1371/journal.pcbi.1005339
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author Bartha, István
McLaren, Paul J.
Brumme, Chanson
Harrigan, Richard
Telenti, Amalio
Fellay, Jacques
author_facet Bartha, István
McLaren, Paul J.
Brumme, Chanson
Harrigan, Richard
Telenti, Amalio
Fellay, Jacques
author_sort Bartha, István
collection PubMed
description We evaluated the fraction of variation in HIV-1 set point viral load attributable to viral or human genetic factors by using joint host/pathogen genetic data from 541 HIV infected individuals. We show that viral genetic diversity explains 29% of the variation in viral load while host factors explain 8.4%. Using a joint model including both host and viral effects, we estimate a total of 30% heritability, indicating that most of the host effects are reflected in viral sequence variation.
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spelling pubmed-53001192017-02-28 Estimating the Respective Contributions of Human and Viral Genetic Variation to HIV Control Bartha, István McLaren, Paul J. Brumme, Chanson Harrigan, Richard Telenti, Amalio Fellay, Jacques PLoS Comput Biol Research Article We evaluated the fraction of variation in HIV-1 set point viral load attributable to viral or human genetic factors by using joint host/pathogen genetic data from 541 HIV infected individuals. We show that viral genetic diversity explains 29% of the variation in viral load while host factors explain 8.4%. Using a joint model including both host and viral effects, we estimate a total of 30% heritability, indicating that most of the host effects are reflected in viral sequence variation. Public Library of Science 2017-02-09 /pmc/articles/PMC5300119/ /pubmed/28182649 http://dx.doi.org/10.1371/journal.pcbi.1005339 Text en © 2017 Bartha 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Bartha, István
McLaren, Paul J.
Brumme, Chanson
Harrigan, Richard
Telenti, Amalio
Fellay, Jacques
Estimating the Respective Contributions of Human and Viral Genetic Variation to HIV Control
title Estimating the Respective Contributions of Human and Viral Genetic Variation to HIV Control
title_full Estimating the Respective Contributions of Human and Viral Genetic Variation to HIV Control
title_fullStr Estimating the Respective Contributions of Human and Viral Genetic Variation to HIV Control
title_full_unstemmed Estimating the Respective Contributions of Human and Viral Genetic Variation to HIV Control
title_short Estimating the Respective Contributions of Human and Viral Genetic Variation to HIV Control
title_sort estimating the respective contributions of human and viral genetic variation to hiv control
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5300119/
https://www.ncbi.nlm.nih.gov/pubmed/28182649
http://dx.doi.org/10.1371/journal.pcbi.1005339
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