Standing genetic variation and the evolution of drug resistance in HIV.

Drug resistance remains a major problem for the treatment of HIV. Resistance can occur due to mutations that were present before treatment starts or due to mutations that occur during treatment. The relative importance of these two sources is unknown. Resistance can also be transmitted between patie...

Full description

Bibliographic Details
Main Author: Pleuni Simone Pennings
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC3369920?pdf=render
id doaj-ed97a693de1b4c32ae49c7b2b9f6ee7e
record_format Article
spelling doaj-ed97a693de1b4c32ae49c7b2b9f6ee7e2020-11-25T01:17:55ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582012-01-0186e100252710.1371/journal.pcbi.1002527Standing genetic variation and the evolution of drug resistance in HIV.Pleuni Simone PenningsDrug resistance remains a major problem for the treatment of HIV. Resistance can occur due to mutations that were present before treatment starts or due to mutations that occur during treatment. The relative importance of these two sources is unknown. Resistance can also be transmitted between patients, but this process is not considered in the current study. We study three different situations in which HIV drug resistance may evolve: starting triple-drug therapy, treatment with a single dose of nevirapine and interruption of treatment. For each of these three cases good data are available from literature, which allows us to estimate the probability that resistance evolves from standing genetic variation. Depending on the treatment we find probabilities of the evolution of drug resistance due to standing genetic variation between 0 and 39%. For patients who start triple-drug combination therapy, we find that drug resistance evolves from standing genetic variation in approximately 6% of the patients. We use a population-dynamic and population-genetic model to understand the observations and to estimate important evolutionary parameters under the assumption that treatment failure is caused by the fixation of a single drug resistance mutation. We find that both the effective population size of the virus before treatment, and the fitness of the resistant mutant during treatment, are key-arameters which determine the probability that resistance evolves from standing genetic variation. Importantly, clinical data indicate that both of these parameters can be manipulated by the kind of treatment that is used.http://europepmc.org/articles/PMC3369920?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Pleuni Simone Pennings
spellingShingle Pleuni Simone Pennings
Standing genetic variation and the evolution of drug resistance in HIV.
PLoS Computational Biology
author_facet Pleuni Simone Pennings
author_sort Pleuni Simone Pennings
title Standing genetic variation and the evolution of drug resistance in HIV.
title_short Standing genetic variation and the evolution of drug resistance in HIV.
title_full Standing genetic variation and the evolution of drug resistance in HIV.
title_fullStr Standing genetic variation and the evolution of drug resistance in HIV.
title_full_unstemmed Standing genetic variation and the evolution of drug resistance in HIV.
title_sort standing genetic variation and the evolution of drug resistance in hiv.
publisher Public Library of Science (PLoS)
series PLoS Computational Biology
issn 1553-734X
1553-7358
publishDate 2012-01-01
description Drug resistance remains a major problem for the treatment of HIV. Resistance can occur due to mutations that were present before treatment starts or due to mutations that occur during treatment. The relative importance of these two sources is unknown. Resistance can also be transmitted between patients, but this process is not considered in the current study. We study three different situations in which HIV drug resistance may evolve: starting triple-drug therapy, treatment with a single dose of nevirapine and interruption of treatment. For each of these three cases good data are available from literature, which allows us to estimate the probability that resistance evolves from standing genetic variation. Depending on the treatment we find probabilities of the evolution of drug resistance due to standing genetic variation between 0 and 39%. For patients who start triple-drug combination therapy, we find that drug resistance evolves from standing genetic variation in approximately 6% of the patients. We use a population-dynamic and population-genetic model to understand the observations and to estimate important evolutionary parameters under the assumption that treatment failure is caused by the fixation of a single drug resistance mutation. We find that both the effective population size of the virus before treatment, and the fitness of the resistant mutant during treatment, are key-arameters which determine the probability that resistance evolves from standing genetic variation. Importantly, clinical data indicate that both of these parameters can be manipulated by the kind of treatment that is used.
url http://europepmc.org/articles/PMC3369920?pdf=render
work_keys_str_mv AT pleunisimonepennings standinggeneticvariationandtheevolutionofdrugresistanceinhiv
_version_ 1725144966511984640