Evidence map›Paper›PMID 29304222›Full record

ArticleBioinformatics (Oxford, England)2018

QUENTIN: reconstruction of disease transmissions from viral quasispecies genomic data.

Pavel Skums, Alex Zelikovsky, Rahul Singh, Walker Gussler, Zoya Dimitrova, Sergey Knyazev, Igor Mandric, Sumathi Ramachandran, David Campo, Deeptanshu Jha and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

37 citing papers in PubMed, 83 citations in OpenAlex.

  1. Article
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  4. Review
  5. Article
  6. Incipient functional SARS-CoV-2 diversification identified through neural network haplotype maps.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  7. Article
  8. Reconstruction of Viral Variants via Monte Carlo Clustering.Journal of computational biology : a journal of computational molecular cell biology · 2023
    Article
  9. Article
  10. Article
  11. Molecular source attribution.PLoS computational biology · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Scale-Free Spanning Trees and Their Application in Genomic Epidemiology.Journal of computational biology : a journal of computational molecular cell biology · 2021
    Article
  18. Article
  19. Article
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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 5 institutions in 1 country.

Pavel SkumsDepartment of Computer Science, Georgia State University.
Alex ZelikovskyDepartment of Computer Science, Georgia State University.
Rahul SinghDepartment of Computer Science, San Francisco State University, San Francisco, CA 94132, USA.
Walker GusslerCenters for Disease Control and Prevention, Division of Viral Hepatitis, Atlanta, GA 30303, USA.
Zoya DimitrovaCenters for Disease Control and Prevention, Division of Viral Hepatitis, Atlanta, GA 30303, USA.
Sergey KnyazevDepartment of Computer Science, Georgia State University.
Igor MandricDepartment of Computer Science, Georgia State University.
Sumathi RamachandranCenters for Disease Control and Prevention, Division of Viral Hepatitis, Atlanta, GA 30303, USA.
David CampoCenters for Disease Control and Prevention, Division of Viral Hepatitis, Atlanta, GA 30303, USA.
Deeptanshu JhaDepartment of Computer Science, San Francisco State University, San Francisco, CA 94132, USA.
Leonid BunimovichSchool of Mathematics, Georgia Institute of Technology, Atlanta, GA 30313, USA.
Elizabeth CostenbaderFHI 360, Durham, NC 27701, USA.
Connie SextonCenters for Disease Control and Prevention, Division of Viral Hepatitis, Atlanta, GA 30303, USA.
Siobhan O'ConnorCenters for Disease Control and Prevention, Division of Viral Hepatitis, Atlanta, GA 30303, USA.
Guo-Liang XiaCenters for Disease Control and Prevention, Division of Viral Hepatitis, Atlanta, GA 30303, USA.
Yury KhudyakovCenters for Disease Control and Prevention, Division of Viral Hepatitis, Atlanta, GA 30303, USA.
Centers for Disease Control and Prevention · USGeorgia State University · USSan Francisco State University · USFamily Health International 360 · USGeorgia Institute of Technology · US

Funding

QUBBD: VIRAL EVOLUTION AND SPREAD OF INFECTIOUS DISEASE IN COMPLEX NETWORK: BIG DATA ANALYSIS AND MODELINGR01EB025022 · NIBIB · GEORGIA STATE UNIVERSITY · PI SKUMS, PAVEL, VANNBERG, FREDRIK · 2017 to 2019
$891k
6 · The paper itself

Abstract

Motivation: Genomic analysis has become one of the major tools for disease outbreak investigations. However, existing computational frameworks for inference of transmission history from viral genomic data often do not consider intra-host diversity of pathogens and heavily rely on additional epidemiological data, such as sampling times and exposure intervals. This impedes genomic analysis of outbreaks of highly mutable viruses associated with chronic infections, such as human immunodeficiency virus and hepatitis C virus, whose transmissions are often carried out through minor intra-host variants, while the additional epidemiological information often is either unavailable or has a limited use. Results: The proposed framework QUasispecies Evolution, Network-based Transmission INference (QUENTIN) addresses the above challenges by evolutionary analysis of intra-host viral populations sampled by deep sequencing and Bayesian inference using general properties of social networks relevant to infection dissemination. This method allows inference of transmission direction even without the supporting case-specific epidemiological information, identify transmission clusters and reconstruct transmission history. QUENTIN was validated on experimental and simulated data, and applied to investigate HCV transmission within a community of hosts with high-risk behavior. It is available at https://github.com/skumsp/QUENTIN. Contact: pskums@gsu.edu or alexz@cs.gsu.edu or rahul@sfsu.edu or yek0@cdc.gov. Supplementary information: Supplementary data are available at Bioinformatics online.

Indexed as

Genome, ViralQuasispeciesSoftwareBayes TheoremDisease OutbreaksGenomicsHepacivirusHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNASequence Analysis, RNA

Identifiers

PMID29304222
PMCPMC6355096
OpenAlexW2638023010

What OpenQuestion holds

Textmetadata
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.