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

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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.… Click to show full 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.

Keywords: variation; hiv; viral genetic; respective contributions; variation hiv; estimating respective

Journal Title: PLoS Computational Biology
Year Published: 2017

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