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dc.contributor.author
Kouyos, Roger D.
dc.contributor.author
von Wyl, Viktor
dc.contributor.author
Hinkley, Trevor
dc.contributor.author
Petropoulos, Christos J.
dc.contributor.author
Haddad, Mojgan
dc.contributor.author
Whitcomb, Jeannette M.
dc.contributor.author
Böni, Jürg
dc.contributor.author
Yerly, Sabine
dc.contributor.author
Cellerai, Cristina
dc.contributor.author
Klimkait, Thomas
dc.contributor.author
Günthard, Huldrych F.
dc.contributor.author
Bonhoeffer, Sebastian
dc.contributor.author
Swiss HIV Cohort Study
dc.date.accessioned
2018-11-27T11:01:12Z
dc.date.available
2017-06-09T17:29:07Z
dc.date.available
2018-11-06T15:04:25Z
dc.date.available
2018-11-27T11:01:12Z
dc.date.issued
2011-11-03
dc.identifier.other
10.1371/journal.ppat.1002321
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/41899
dc.identifier.doi
10.3929/ethz-b-000041899
dc.description.abstract
HIV-1 replicative capacity (RC) provides a measure of within-host fitness and is determined in the context of phenotypic drug resistance testing. However it is unclear how these in-vitro measurements relate to in-vivo processes. Here we assess RCs in a clinical setting by combining a previously published machine-learning tool, which predicts RC values from partial pol sequences with genotypic and clinical data from the Swiss HIV Cohort Study. The machine-learning tool is based on a training set consisting of 65000 RC measurements paired with their corresponding partial pol sequences. We find that predicted RC values (pRCs) correlate significantly with the virus load measured in 2073 infected but drug naïve individuals. Furthermore, we find that, for 53 pairs of sequences, each pair sampled in the same infected individual, the pRC was significantly higher for the sequence sampled later in the infection and that the increase in pRC was also significantly correlated with the increase in plasma viral load and with the length of the time-interval between the sampling points. These findings indicate that selection within a patient favors the evolution of higher replicative capacities and that these in-vitro fitness measures are indicative of in-vivo HIV virus load.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Public Library of Science (PLoS)
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/3.0/
dc.title
Assessing Predicted HIV-1 Replicative Capacity in a Clinical Setting
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 3.0 Unported
ethz.journal.title
PLoS pathogens
ethz.journal.volume
7
en_US
ethz.journal.issue
11
en_US
ethz.pages.start
e1002321
en_US
ethz.size
5 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.nebis
005409548
ethz.publication.place
Lawrence, KS
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2017-06-09T17:29:38Z
ethz.source
ECIT
ethz.identifier.importid
imp59364eb03d06218716
ethz.ecitpid
pub:70000
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-26T16:33:32Z
ethz.rosetta.lastUpdated
2019-01-03T12:31:57Z
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true
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true
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