Evidence map›Paper›PMID 29389981›Full record

ArticlePloS one2018

A high HIV-1 strain variability in London, UK, revealed by full-genome analysis: Results from the ICONIC project.

Gonzalo Yebra, Dan Frampton, Tiziano Gallo Cassarino, Jade Raffle, Jonathan Hubb, R Bridget Ferns, Laura Waters, C Y William Tong, Zisis Kozlakidis, Andrew Hayward and 6 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 19% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

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  12. Revisiting the recombinant history of HIV-1 group M with dynamic network community detection.Proceedings of the National Academy of Sciences of the United States of America · 2022
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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

16 authors at 8 institutions in 1 country.

Gonzalo YebraInstitute of Evolutionary Biology, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0002-3472-3667
Dan FramptonUCL Division of Infection and Immunity, Faculty of Medical Sciences, London, United Kingdom.
Tiziano Gallo CassarinoUCL Division of Infection and Immunity, Faculty of Medical Sciences, London, United Kingdom.
Jade RaffleUCL Division of Infection and Immunity, Faculty of Medical Sciences, London, United Kingdom.
Jonathan HubbDepartment of Virology, Barts Health NHS Trust, London, United Kingdom.
R Bridget FernsDepartment of Clinical Virology, UCL Hospital NHS Foundation Trust, London, United Kingdom.
Laura WatersDepartment of HIV Medicine, Mortimer Market Centre, Central & North West London NHS Trust, London, United Kingdom.
C Y William TongDepartment of Virology, Barts Health NHS Trust, London, United Kingdom.
Zisis KozlakidisUCL Division of Infection and Immunity, Faculty of Medical Sciences, London, United Kingdom.
Andrew HaywardUCL Institute of Epidemiology and Health Care, London, United Kingdom.
Paul KellamDivision of Infectious Diseases, Department of Medicine, Imperial College London, London, United Kingdom.
Deenan PillayUCL Division of Infection and Immunity, Faculty of Medical Sciences, London, United Kingdom.
Duncan ClarkDepartment of Virology, Barts Health NHS Trust, London, United Kingdom.
Eleni NastouliDepartment of Clinical Virology, UCL Hospital NHS Foundation Trust, London, United Kingdom.
Andrew J Leigh BrownInstitute of Evolutionary Biology, University of Edinburgh, Edinburgh, United Kingdom.
ICONIC Consortium
University College London · GBBarts Health NHS Trust · GBUniversity of Edinburgh · GBCentral and North West London NHS Foundation Trust · GBFarr Institute · GBImperial College London · GBQueen Mary University of London · GBUCL Biomedical Research Centre · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

BACKGROUND &

methodsThe ICONIC project has developed an automated high-throughput pipeline to generate HIV nearly full-length genomes (NFLG, i.e. from gag to nef) from next-generation sequencing (NGS) data. The pipeline was applied to 420 HIV samples collected at University College London Hospitals NHS Trust and Barts Health NHS Trust (London) and sequenced using an Illumina MiSeq at the Wellcome Trust Sanger Institute (Cambridge). Consensus genomes were generated and subtyped using COMET, and unique recombinants were studied with jpHMM and SimPlot. Maximum-likelihood phylogenetic trees were constructed using RAxML to identify transmission networks using the Cluster Picker.

resultsThe pipeline generated sequences of at least 1Kb of length (median = 7.46Kb, IQR = 4.01Kb) for 375 out of the 420 samples (89%), with 174 (46.4%) being NFLG. A total of 365 sequences (169 of them NFLG) corresponded to unique subjects and were included in the down-stream analyses. The most frequent HIV subtypes were B (n = 149, 40.8%) and C (n = 77, 21.1%) and the circulating recombinant form CRF02_AG (n = 32, 8.8%). We found 14 different CRFs (n = 66, 18.1%) and multiple URFs (n = 32, 8.8%) that involved recombination between 12 different subtypes/CRFs. The most frequent URFs were B/CRF01_AE (4 cases) and A1/D, B/C, and B/CRF02_AG (3 cases each). Most URFs (19/26, 73%) lacked breakpoints in the PR+RT pol region, rendering them undetectable if only that was sequenced. Twelve (37.5%) of the URFs could have emerged within the UK, whereas the rest were probably imported from sub-Saharan Africa, South East Asia and South America. For 2 URFs we found highly similar pol sequences circulating in the UK. We detected 31 phylogenetic clusters using the full dataset: 25 pairs (mostly subtypes B and C), 4 triplets and 2 quadruplets. Some of these were not consistent across different genes due to inter- and intra-subtype recombination. Clusters involved 70 sequences, 19.2% of the dataset.

conclusionsThe initial analysis of genome sequences detected substantial hidden variability in the London HIV epidemic. Analysing full genome sequences, as opposed to only PR+RT, identified previously undetected recombinants. It provided a more reliable description of CRFs (that would be otherwise misclassified) and transmission clusters.

Indexed as

Genome, ViralAdultFemaleHIV-1HumansLondonMaleMiddle AgedPhylogenyRecombination, Genetic

Identifiers

PMID29389981
PMCPMC5794160
OpenAlexW2951493078

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.