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

Type of publication Peer-reviewed
Publikationsform Original article (peer-reviewed)
Author Bartha István, McLaren Paul J., Brumme Chanson, Harrigan Richard, Telenti Amalio, Fellay Jacques,
Project Swiss HIV Cohort Study (SHCS)
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Original article (peer-reviewed)

Journal PLOS Computational Biology
Volume (Issue) 13(2)
Page(s) e1005339 - e1005339
Title of proceedings PLOS Computational Biology
DOI 10.1371/journal.pcbi.1005339

Open Access

URL http://doi.org/10.1371/journal.pcbi.1005339
Type of Open Access Publisher (Gold Open Access)

Abstract

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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