Evidence map›Paper›PMID 22589711›Full record

ArticlePLoS computational biology2012

Modeling HIV-1 drug resistance as episodic directional selection.

Ben Murrell, Tulio de Oliveira, Chris Seebregts, Sergei L Kosakovsky Pond, Konrad Scheffler, Southern African Treatment and Resistance Network-SATuRN Consortium

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 43 citations in OpenAlex.

  1. The genetic foundations of convergent traits.Nature reviews. Genetics · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Genome-scale analysis of evolutionary rate and selection in a fast-expanding Spanish cluster of HIV-1 subtype F1.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2018
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Finding Direction in the Search for Selection.Journal of molecular evolution · 2017
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 3 countries.

Ben MurrellBiomedical Informatics Research Division, eHealth Research and Innovation Platform, Medical Research Council, Tygerberg, South Africa.
Tulio de Oliveira
Chris Seebregts
Sergei L Kosakovsky Pond
Konrad Scheffler
Southern African Treatment and Resistance Network-SATuRN Consortium
University of California, San Diego · USStellenbosch University · ZAUniversity College London · GBUniversity of KwaZulu-Natal · ZA

Funding

Transmission ProbabilityP01AI074621 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RICHMAN, DOUGLAS D · 2008 to 2012
$23.1M
Primary Infection Resource Consortium (PIRC)R24AI106039 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LITTLE, SUSAN JANET · 2013 to 2021
$23.1M
Biomathematical analysis of viral dynamics/evolutionR01AI047745 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RICHMAN, DOUGLAS D · 2001 to 2011
$3.2M
HyPhy: Molecular Evolutionary AnalysesR01GM093939 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI MUSE, SPENCER V., POND, SERGEI L KOSAKOVSKY · 2010 to 2018
$2.5M
Biomathematical Analysis of Viral Dynamics and EvolutionR56AI047745 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI POND, SERGEI L KOSAKOVSKY · 2012 to 2012
$365k
BIOMATHEMATICAL ANALYSIS OF VIRAL DYNAMICS AND EVOLUTIONR21AI047745 · NIAID · UNIVERSITY OF CALIFORNIA SAN DIEGO · PI RICHMAN, DOUGLAS D · 2000 to 2000
$308k
NIAID NIH HHS AI47745NIAID NIH HHS AI74621NIAID NIH HHS P01 AI074621NIAID NIH HHS R01 AI047745NIAID NIH HHS R21 AI047745NIAID NIH HHS R24 AI106039NIAID NIH HHS R56 AI047745NIGMS NIH HHS R01 GM093939Wellcome TrustWellcome Trust 082384/Z/07/Z
6 · The paper itself

Abstract

The evolution of substitutions conferring drug resistance to HIV-1 is both episodic, occurring when patients are on antiretroviral therapy, and strongly directional, with site-specific resistant residues increasing in frequency over time. While methods exist to detect episodic diversifying selection and continuous directional selection, no evolutionary model combining these two properties has been proposed. We present two models of episodic directional selection (MEDS and EDEPS) which allow the a priori specification of lineages expected to have undergone directional selection. The models infer the sites and target residues that were likely subject to directional selection, using either codon or protein sequences. Compared to its null model of episodic diversifying selection, MEDS provides a superior fit to most sites known to be involved in drug resistance, and neither one test for episodic diversifying selection nor another for constant directional selection are able to detect as many true positives as MEDS and EDEPS while maintaining acceptable levels of false positives. This suggests that episodic directional selection is a better description of the process driving the evolution of drug resistance.

Indexed as

Evolution, MolecularModels, GeneticAnti-HIV AgentsBiological EvolutionComputer SimulationDrug Resistance, ViralGenetic VariationHIV-1Selection, GeneticAnti-HIV Agents

Identifiers

PMID22589711
PMCPMC3349733
OpenAlexW2121979869

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.