Estimating the Respective Contributions of Human and Viral Genetic Variation to HIV Control. Bartha, I., McLaren, P. J., Brumme, C., Harrigan, R., Telenti, A., & Fellay, J. PLoS computational biology, 13(2):e1005339, February, 2017. doi abstract bibtex 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.
@article{bartha_estimating_2017,
title = {Estimating the {Respective} {Contributions} of {Human} and {Viral} {Genetic} {Variation} to {HIV} {Control}},
volume = {13},
issn = {1553-7358},
doi = {10.1371/journal.pcbi.1005339},
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.},
language = {eng},
number = {2},
journal = {PLoS computational biology},
author = {Bartha, István and McLaren, Paul J. and Brumme, Chanson and Harrigan, Richard and Telenti, Amalio and Fellay, Jacques},
month = feb,
year = {2017},
pmid = {28182649},
pmcid = {PMC5300119},
pages = {e1005339},
}
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