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  • Estimating the Respective C...
    Bartha, István; McLaren, Paul J; Brumme, Chanson; Harrigan, Richard; Telenti, Amalio; Fellay, Jacques

    PLoS computational biology, 02/2017, Letnik: 13, Številka: 2
    Journal 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.