Evidence map›Paper›PMID 30052678›Full record

ArticlePLoS pathogens2018

Evolution of HIV-1 within untreated individuals and at the population scale in Uganda.

Jayna Raghwani, Andrew D Redd, Andrew F Longosz, Chieh-Hsi Wu, David Serwadda, Craig Martens, Joseph Kagaayi, Nelson Sewankambo, Stephen F Porcella, Mary K Grabowski and 7 more

Open access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

21 citing papers in PubMed, 30 citations in OpenAlex.

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  20. Inconsistent temporal patterns of genetic variation of HCV among high-risk subjects may impact inference of transmission networks.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2019
    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

17 authors at 5 institutions in 3 countries.

Jayna RaghwaniBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-8538-4995
Andrew D ReddLaboratory of Immunoregulation, Division of Intramural Research, NIAID, NIH, Baltimore MD, United States of America.
Andrew F LongoszLaboratory of Immunoregulation, Division of Intramural Research, NIAID, NIH, Baltimore MD, United States of America.
Chieh-Hsi WuDepartment of Statistics, University of Oxford, Oxford, United Kingdom.
David SerwaddaRakai Health Sciences Program, Kalisizo, Uganda.
Craig MartensGenomics Unit, RTS, RTB, Rocky Mountain Laboratories, Division of Intramural Research, NIAID, NIH, Hamilton MT, United States of America.
Joseph KagaayiRakai Health Sciences Program, Kalisizo, Uganda.
Nelson SewankamboRakai Health Sciences Program, Kalisizo, Uganda.
Stephen F PorcellaGenomics Unit, RTS, RTB, Rocky Mountain Laboratories, Division of Intramural Research, NIAID, NIH, Hamilton MT, United States of America.
Mary K GrabowskiDepartment of Pathology, Johns Hopkins Medical Institute, Johns Hopkins University, Baltimore, MD, United States of America.
Thomas C QuinnLaboratory of Immunoregulation, Division of Intramural Research, NIAID, NIH, Baltimore MD, United States of America.
Michael A EllerU.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States of America.
Leigh Anne EllerU.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States of America.
Fred Wabwire-MangenU.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States of America.
Merlin L RobbU.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States of America.ORCID 0000-0003-3949-9649
Christophe FraserBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-2399-9657
Katrina A LythgoeBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-7089-7680
Henry M. Jackson Foundation · USUniversity of Oxford · GBJohns Hopkins University · USRakai Health Sciences Program · UGNational Institute of Allergy and Infectious Diseases · US

Funding

Infectious Diseases Research Technologies Core - RMLZICAI001052 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI CHERRY, JAMES · 2009 to 2025
$133.3M
International Center for Excellence in Research (ICER) in Uganda: Impact of ARVsZIAAI001040 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI REYNOLDS, STEVEN · 2009 to 2025
$23.5M
International Studies of the Acquired Immune Deficiency Syndrome (AIDS)ZIAAI000361 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI REDD, ANDREW · 2009 to 2025
$15.8M
Revealing women's hidden role as critical components of HIV transmission networks in Rakai, Uganda: an interdisciplinary approachK01AI125086 · NIAID · JOHNS HOPKINS UNIVERSITY · PI GRABOWSKI, MARY KATHRYN · 2016 to 2020
$638k
Medical Research Council MR/R015600/1NIAID NIH HHS K01 AI125086Wellcome TrustWellcome Trust 107652/Z/15/Z
6 · The paper itself

Abstract

HIV-1 undergoes multiple rounds of error-prone replication between transmission events, resulting in diverse viral populations within and among individuals. In addition, the virus experiences different selective pressures at multiple levels: during the course of infection, at transmission, and among individuals. Disentangling how these evolutionary forces shape the evolution of the virus at the population scale is important for understanding pathogenesis, how drug- and immune-escape variants are likely to spread in populations, and the development of preventive vaccines. To address this, we deep-sequenced two regions of the HIV-1 genome (p24 and gp41) from 34 longitudinally-sampled untreated individuals from Rakai District in Uganda, infected with subtypes A, D, and inter-subtype recombinants. This dataset substantially increases the availability of HIV-1 sequence data that spans multiple years of untreated infection, in particular for different geographical regions and viral subtypes. In line with previous studies, we estimated an approximately five-fold faster rate of evolution at the within-host compared to the population scale for both synonymous and nonsynonymous substitutions, and for all subtypes. We determined the extent to which this mismatch in evolutionary rates can be explained by the evolution of the virus towards population-level consensus, or the transmission of viruses similar to those that establish infection within individuals. Our findings indicate that both processes are likely to be important.

Indexed as

Evolution, MolecularHIV-1HIV InfectionsHumansUganda

Identifiers

PMID30052678
PMCPMC6082572
OpenAlexW2883206215

What OpenQuestion holds

Textmetadata
LicenceCC0
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.