Evidence map›Paper›PMID 34532064›Full record

ArticleVirus evolution2021

Using host genetics to infer the global spread and evolutionary history of HCV subtype 3a.

Shang-Kuan Lin, Nicola De Maio, Vincent Pedergnana, Chieh-Hsi Wu, Julien Thézé, Daniel J Wilson, Eleanor Barnes, M Azim Ansari

Open access · goldAbstract read
In one paragraph

Article in Virus evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 55% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

8 authors at 5 institutions in 2 countries.

Shang-Kuan LinNuffield Department of Population Health, Big Data Institute, University of Oxford, Li Ka Shing Centre for Health Information and Discovery, Old Road Campus, Oxford OX3 7LF, UK.ORCID https://orcid.org/0000-0002-6962-1134
Nicola De MaioEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton CB10 1SD, UK.ORCID https://orcid.org/0000-0002-1776-8564
Vincent PedergnanaMIVEGEC, Université de Montpellier, CNRS, 911 avenue Agropolis, Montpellier 34000, France.
Chieh-Hsi WuBuilding 54, Mathematical Sciences University of Southampton, Highfield, Southampton SO17 1BJ, UK.
Julien ThézéDepartment of Zoology, University of Oxford, South Parks Road, Oxford, Oxfordshire OX1 3PS, UK.
Daniel J WilsonNuffield Department of Population Health, Big Data Institute, University of Oxford, Li Ka Shing Centre for Health Information and Discovery, Old Road Campus, Oxford OX3 7LF, UK.ORCID https://orcid.org/0000-0002-0940-3311
Eleanor BarnesPeter Medawar Building for Pathogen Research, University of Oxford, South Parks Road, Oxford, Oxfordshire OX1 3SY, UK.
M Azim AnsariNuffield Department of Population Health, Big Data Institute, University of Oxford, Li Ka Shing Centre for Health Information and Discovery, Old Road Campus, Oxford OX3 7LF, UK.
University of Oxford · GBCentre National de la Recherche Scientifique · FREuropean Bioinformatics Institute · GBUniversité Clermont Auvergne · FRUniversity of Southampton · GB

Funding

Medical Research Council MR/K01532X/1Wellcome Trust
6 · The paper itself

Abstract

Studies have shown that hepatitis C virus subtype 3a (HCV-3a) is likely to have been circulating in South Asia before its global spread. However, the time and route of this dissemination remain unclear. For the first time, we generated host and virus genome-wide data for more than 500 patients infected with HCV-3a from the UK, North America, Australia, and New Zealand. We used the host genomic data to infer the ancestry of the patients and used this information to investigate the epidemic history of HCV-3a. We observed that viruses from hosts of South Asian ancestry clustered together near the root of the tree, irrespective of the sampling country, and that they were more diverse than viruses from other host ancestries. We hypothesized that South Asian hosts are more likely to have been infected in South Asia and used the inferred host ancestries to distinguish between the location where the infection was acquired and where the sample was taken. Next, we inferred that three independent transmission events resulted in the spread of the virus from South Asia to the UK, North America, and Oceania. This initial spread happened during or soon after the end of World War II. This was subsequently followed by many independent transmissions between the UK, North America, and Oceania. Using both host and virus genomic information can be highly informative in studying the virus epidemic history, especially in the context of chronic infections where migration histories need to be accounted for.

Indexed as

evolutionHCVhost–virus geneticsphylogeneticsphylogeography

Identifiers

PMID34532064
PMCPMC8438900
OpenAlexW3180744425

What Socratic 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 Socratic graph.