Evidence map›Paper›PMID 36478783›Full record

ArticleVirus evolution2022

Haplotype assignment of longitudinal viral deep sequencing data using covariation of variant frequencies.

Cristina Venturini, Juanita Pang, Asif U Tamuri, Sunando Roy, Claire Atkinson, Paul Griffiths, Judith Breuer, Richard A Goldstein

Open access · goldAbstract read
In one paragraph

Article in Virus evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

11 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Genomic and geographical structure of human cytomegalovirus.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. mBio · 2020
    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 2 institutions in 1 country.

Cristina VenturiniInfection, Immunity, Inflammation, Institute of Child Health, University College London, London WC1E 6BT, UK.ORCID https://orcid.org/0000-0002-4769-7912
Juanita PangDivision of Infection and Immunity, University College London, London WC1E 6BT, UK.ORCID https://orcid.org/0000-0002-4792-5903
Asif U TamuriResearch IT Services, University College London, London WC1E 6BT, UK.ORCID https://orcid.org/0000-0001-6633-3789
Sunando RoyInfection, Immunity, Inflammation, Institute of Child Health, University College London, London WC1E 6BT, UK.
Claire AtkinsonInstitute for Immunity and Transplantation, University College London, London NW3 2PP, UK.
Paul GriffithsInstitute for Immunity and Transplantation, University College London, London NW3 2PP, UK.
Judith BreuerInfection, Immunity, Inflammation, Institute of Child Health, University College London, London WC1E 6BT, UK.
Richard A GoldsteinDivision of Infection and Immunity, University College London, London WC1E 6BT, UK.ORCID https://orcid.org/0000-0001-5148-4672
University College London · GBGreat Ormond Street Hospital · GB

Funding

Medical Research Council MC_U117573805Wellcome Trust 204870/Z/16/Z
6 · The paper itself

Abstract

Longitudinal deep sequencing of viruses can provide detailed information about intra-host evolutionary dynamics including how viruses interact with and transmit between hosts. Many analyses require haplotype reconstruction, identifying which variants are co-located on the same genomic element. Most current methods to perform this reconstruction are based on a high density of variants and cannot perform this reconstruction for slowly evolving viruses. We present a new approach, HaROLD (HAplotype Reconstruction Of Longitudinal Deep sequencing data), which performs this reconstruction based on identifying co-varying variant frequencies using a probabilistic framework. We illustrate HaROLD on both RNA and DNA viruses with synthetic Illumina paired read data created from mixed human cytomegalovirus (HCMV) and norovirus genomes, and clinical datasets of HCMV and norovirus samples, demonstrating high accuracy, especially when longitudinal samples are available.

Indexed as

haplotype reconstructionhuman cytomegalovirusnext-generation sequencingnorovirus

Identifiers

PMID36478783
PMCPMC9719071
OpenAlexW4302763584

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.