Evidence map›Paper›PMID 26940650›Full record

ArticleScientific reports2016

Intra-epidemic evolutionary dynamics of a Dengue virus type 1 population reveal mutant spectra that correlate with disease transmission.

Hapuarachchige Chanditha Hapuarachchi, Carmen Koo, Relus Kek, Helen Xu, Yee Ling Lai, Lilac Liu, Suet Yheng Kok, Yuan Shi, Raphael Lee Tze Chuen, Kim-Sung Lee and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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. Review
  2. Article
  3. Human Riboviruses: A Comprehensive Study.Journal of molecular evolution · 2025
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Understanding dengue virus evolution to support epidemic surveillance and counter-measure development.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2018
    Review
  18. Article
  19. Article
  20. 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

12 authors.

Hapuarachchige Chanditha HapuarachchiEnvironmental Health Institute, National Environment Agency, 11, Biopolis Way, #06-05-08, Singapore 138667.
Carmen KooEnvironmental Health Institute, National Environment Agency, 11, Biopolis Way, #06-05-08, Singapore 138667.
Relus KekEnvironmental Health Institute, National Environment Agency, 11, Biopolis Way, #06-05-08, Singapore 138667.
Helen XuEnvironmental Health Institute, National Environment Agency, 11, Biopolis Way, #06-05-08, Singapore 138667.
Yee Ling LaiEnvironmental Health Institute, National Environment Agency, 11, Biopolis Way, #06-05-08, Singapore 138667.
Lilac LiuEnvironmental Health Institute, National Environment Agency, 11, Biopolis Way, #06-05-08, Singapore 138667.
Suet Yheng KokEnvironmental Health Institute, National Environment Agency, 11, Biopolis Way, #06-05-08, Singapore 138667.
Yuan ShiEnvironmental Health Institute, National Environment Agency, 11, Biopolis Way, #06-05-08, Singapore 138667.
Raphael Lee Tze ChuenBioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), 30 Biopolis Street #07-01, Matrix Building, Singapore 138671.
Kim-Sung LeeSchool of Life Sciences and Chemical Technology, Ngee Ann Polytechnic, Block 83, #04-00, 535 Clementi Road, Singapore 599489.
Sebastian Maurer-StrohBioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), 30 Biopolis Street #07-01, Matrix Building, Singapore 138671.
Lee Ching NgEnvironmental Health Institute, National Environment Agency, 11, Biopolis Way, #06-05-08, Singapore 138667.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue virus (DENV) is currently the most prevalent mosquito-borne viral pathogen. DENVs naturally exist as highly heterogeneous populations. Even though the descriptions on DENV diversity are plentiful, only a few studies have narrated the dynamics of intra-epidemic virus diversity at a fine scale. Such accounts are important to decipher the reciprocal relationship between viral evolutionary dynamics and disease transmission that shape dengue epidemiology. In the current study, we present a micro-scale genetic analysis of a monophyletic lineage of DENV-1 genotype III (epidemic lineage) detected from November 2012 to May 2014. The lineage was involved in an unprecedented dengue epidemic in Singapore during 2013-2014. Our findings showed that the epidemic lineage was an ensemble of mutants (variants) originated from an initial mixed viral population. The composition of mutant spectrum was dynamic and positively correlated with case load. The close interaction between viral evolution and transmission intensity indicated that tracking genetic diversity through time is potentially a useful tool to infer DENV transmission dynamics and thereby, to assess the epidemic risk in a disease control perspective. Moreover, such information is salient to understand the viral basis of clinical outcome and immune response variations that is imperative to effective vaccine design.

Indexed as

Antigenic VariationAntigens, ViralBiological EvolutionDengueDengue VirusEpidemicsEvolution, MolecularGenetic VariationGenotypeHumansMutationPhylogenyRiskRNA, ViralSequence Analysis, DNAAntigens, ViralRNA, Viral

Identifiers

PMID26940650
PMCPMC4778070

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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.