Evidence map›Paper›PMID 26882502›Full record

ArticleeLife2016

More effective drugs lead to harder selective sweeps in the evolution of drug resistance in HIV-1.

Alison F Feder, Soo-Yon Rhee, Susan P Holmes, Robert W Shafer, Dmitri A Petrov, Pleuni S Pennings

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in eLife, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 1 pooled it
6.5field-weighted citation impact, top 3% 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

53 citing papers in PubMed, 1 synthesis or guideline pooled it, 91 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Recurrent mutations drive rapid HIV escape from two broadly neutralizing antibodies in vivo.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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  7. Review
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  14. Longitudinal sequencing reveals polygenic and epistatic nature of genomic response to selection.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  15. Article
  16. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Alison F FederDepartment of Biology, Stanford University, Stanford, United States.
Soo-Yon RheeDepartment of Medicine, Stanford University, Stanford, United States.
Susan P HolmesDepartment of Statistics, Stanford University, Stanford, United States.
Robert W ShaferDepartment of Medicine, Stanford University, Stanford, United States.
Dmitri A PetrovDepartment of Biology, Stanford University, Stanford, United States.
Pleuni S PenningsDepartment of Biology, Stanford University, Stanford, United States.
Stanford University · USSan Francisco State University · US

Funding

PUBLIC HIV DRUG RESISTANCE DATABASER01AI068581 · NIAID · STANFORD UNIVERSITY · PI SHAFER, ROBERT WILLIAM · 2006 to 2017
$6.2M
Genomics of rapid adaptation on seasonal timescales in D. melanogasterR01GM100366 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI SCHMIDT, PAUL · 2012 to 2019
$3.3M
Sequencing yeast lines to measure rates of neutral and deleterious mutationsR01GM097415 · NIGMS · NEW YORK UNIVERSITY · PI PETROV, DMITRI, SIEGAL, MARK L · 2011 to 2014
$2.3M
NIAID NIH HHS R01 AI068581NIGMS NIH HHS R01 GM097415NIGMS NIH HHS R01GM097415NIGMS NIH HHS R01 GM100366NIGMS NIH HHS R01GM100366
6 · The paper itself

Abstract

In the early days of HIV treatment, drug resistance occurred rapidly and predictably in all patients, but under modern treatments, resistance arises slowly, if at all. The probability of resistance should be controlled by the rate of generation of resistance mutations. If many adaptive mutations arise simultaneously, then adaptation proceeds by soft selective sweeps in which multiple adaptive mutations spread concomitantly, but if adaptive mutations occur rarely in the population, then a single adaptive mutation should spread alone in a hard selective sweep. Here, we use 6717 HIV-1 consensus sequences from patients treated with first-line therapies between 1989 and 2013 to confirm that the transition from fast to slow evolution of drug resistance was indeed accompanied with the expected transition from soft to hard selective sweeps. This suggests more generally that evolution proceeds via hard sweeps if resistance is unlikely and via soft sweeps if it is likely.

Indexed as

Drug Resistance, ViralSelection, GeneticAdaptation, BiologicalAnti-HIV AgentsGenotypeHIV-1HIV InfectionsHumansMutation RateAnti-HIV Agentsdrug resistanceevolutionary biologyevolutionary dynamicsgenomicsHIVsoft sweepswithin-host evolutionary

Identifiers

PMID26882502
PMCPMC4764592
OpenAlexW2292461890

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.