Evidence map›Paper›PMID 28231858›Full record

ArticleRetrovirology2017

Conserved signatures indicate HIV-1 transmission is under strong selection and thus is not a "stochastic" process.

Mileidy Gonzalez, Anthony L DeVico, John L Spouge

Open access · goldAbstract readComment
In one paragraph

Article in Retrovirology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Mileidy GonzalezStatistical Computational Biology Group, National Center for Biotechnology Information (NCBI), National Library of Medicine (NLM), National Institutes of Health (NIH), Bethesda, MD, USA. mileidy.gonzalez@nih.gov.ORCID 0000-0002-2021-1046
Anthony L DeVicoDivision of Basic Science and Vaccine Research, Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, USA.
John L SpougeStatistical Computational Biology Group, National Center for Biotechnology Information (NCBI), National Library of Medicine (NLM), National Institutes of Health (NIH), Bethesda, MD, USA.
National Institutes of Health · USUniversity of Maryland, Baltimore · US

Funding

Bioinformatics Studies of Human VirusesZIALM091213 · NLM · NATIONAL LIBRARY OF MEDICINE · PI SPOUGE, JOHN · 2013 to 2023
$4.6M
6 · The paper itself

Abstract

Recently, Oberle et al. published a paper in Retrovirology evaluating the question of whether selection plays a role in HIV transmission. The Oberle study found no obvious genotypic or phenotypic differences between donors and recipients of epidemiologically linked pairs from the Swiss cohort. Thus, Oberle et al. characterized HIV-1 B transmission as largely "stochastic", an imprecise and potentially misleading term. Here, we re-analyzed their data and placed them in the context of transmission data for over 20 other human and animal trials. The present study finds that the transmitted/founder (T/F) viruses from the Swiss cohort show the same non-random genetic signatures conserved in 118 HIV-1, 40 SHIV, and 12 SIV T/F viruses previously published by two independent groups. We provide alternative interpretations of the Swiss cohort data and conclude that the sequences of their donor viruses lacked variability at the specific sites where other studies were able to demonstrate genotypic selection. Oberle et al. observed no phenotypic selection in vitro, so the problem of determining the in vivo phenotypic mechanisms that cause genotypic selection in HIV remains open.

Indexed as

HIV InfectionsAnimalsGenotypeHIV-1HumansPhenotypic versus genotypic selectionSelection during HIV transmissionT/FTransmission signaturesTransmitted/founder virus

Identifiers

PMID28231858
PMCPMC5324211
OpenAlexW2588011272

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.