Estimating the Respective Contributions of Human and Viral Genetic Variation to HIV Control.
István BarthaPaul J McLarenChanson BrummeRichard HarriganAmalio TelentiJacques FellayPublished in: PLoS computational biology (2017)
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.
Keyphrases
- hiv infected
- sars cov
- antiretroviral therapy
- endothelial cells
- genetic diversity
- hiv positive
- human immunodeficiency virus
- hepatitis c virus
- hiv aids
- hiv testing
- genome wide
- induced pluripotent stem cells
- men who have sex with men
- gene expression
- pluripotent stem cells
- copy number
- electronic health record
- deep learning
- big data