Evidence map›Paper›PMID 31022183›Full record

ArticlePLoS neglected tropical diseases2019

Application of a targeted-enrichment methodology for full-genome sequencing of Dengue 1-4, Chikungunya and Zika viruses directly from patient samples.

Uma Sangumathi Kamaraj, Jun Hao Tan, Ong Xin Mei, Louise Pan, Tanu Chawla, Anna Uehara, Lin-Fa Wang, Eng Eong Ooi, Duane J Gubler, Hasitha Tissera and 6 more

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. Integrating metagenomics and metatranscriptomics intoThe Journal of general virology · 2026
    Review
  3. Review
  4. OLTA: Optimizing bait seLection for TArgeted sequencing.Bioinformatics (Oxford, England) · 2025
    Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Genotypic Characterization ofTransboundary and emerging diseases · 2023
    Article
  11. Article
  12. Article
  13. 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

16 authors at 6 institutions in 2 countries.

Uma Sangumathi KamarajDuke-NUS Medical School, Singapore.
Jun Hao TanDuke-NUS Medical School, Singapore.
Ong Xin MeiDuke-NUS Medical School, Singapore.
Louise PanDuke-NUS Medical School, Singapore.
Tanu ChawlaDuke-NUS Medical School, Singapore.
Anna UeharaDuke-NUS Medical School, Singapore.
Lin-Fa WangDuke-NUS Medical School, Singapore.
Eng Eong OoiDuke-NUS Medical School, Singapore.
Duane J GublerDuke-NUS Medical School, Singapore.
Hasitha TisseraMinistry of Health, Epidemiology Unit, Colombo, Sri Lanka.
Lee Ching NgEnvironmental Health Institute, Singapore.
Annelies Wilder-SmithNanyang Technological University, Lee Kong Chian School of Medicine, Singapore.
Paola Florez de SessionsGenome Institute of Singapore, Singapore.
Timothy BarkhamTan Tock Seng Hospital, Singapore.ORCID 0000-0003-0975-2244
Danielle E AndersonDuke-NUS Medical School, Singapore.
October Michael SessionsDuke-NUS Medical School, Singapore.ORCID 0000-0002-1370-2744
Duke-NUS Medical School · SGNational University of Singapore · SGGenome Institute of Singapore · SGMinistry of Health, Nutrition and Indigenous Medicine · LKNanyang Technological University · SGTan Tock Seng Hospital · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The frequency of epidemics caused by Dengue viruses 1-4, Zika virus and Chikungunya viruses have been on an upward trend in recent years driven primarily by uncontrolled urbanization, mobility of human populations and geographical spread of their shared vectors, Aedes aegypti and Aedes albopictus. Infections by these viruses present with similar clinical manifestations making them challenging to diagnose; this is especially difficult in regions of the world hyperendemic for these viruses. In this study, we present a targeted-enrichment methodology to simultaneously sequence the complete viral genomes for each of these viruses directly from clinical samples. Additionally, we have also developed a customized computational tool (BaitMaker) to design these enrichment baits. This methodology is robust in its ability to capture diverse sequences and is amenable to large-scale epidemiological studies. We have applied this methodology to two large cohorts: a febrile study based in Colombo, Sri Lanka taken during the 2009-2015 dengue epidemic (n = 170) and another taken during the 2016 outbreak of Zika virus in Singapore (n = 162). Results from these studies indicate that we were able to cover an average of 97.04% ± 0.67% of the full viral genome from samples in these cohorts. We also show detection of one DENV3/ZIKV co-infected patient where we recovered full genomes for both viruses.

Indexed as

Genome, ViralCell LineChikungunya FeverChikungunya virusCoinfectionComputational BiologyDengueDengue VirusDisease OutbreaksGenomicsHigh-Throughput Nucleotide SequencingHumansNucleic Acid Amplification TechniquesSingaporeSri LankaZika Virus

Identifiers

PMID31022183
PMCPMC6504110
OpenAlexW2942001335

What OpenQuestion 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 OpenQuestion graph.