PLOS Computational BiologyGeneticsPeer-reviewed journal article
Estimating the respective contributions of human and viral genetic variation to HIV control
Istvan Bartha, Paul J McLaren, Chanson Brumme, Richard Harrigan, Amalio TelentiiD, Jacques FellayiD
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.
- organism: human
- organism: virus
- assay: GWAS summary statistics
- research focus: GWAS / association mapping
- approach: statistical model
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