Evidence map›Paper›PMID 23908494›Full record

ArticleThe Journal of infectious diseases2013

Pooled deep sequencing of Plasmodium falciparum isolates: an efficient and scalable tool to quantify prevailing malaria drug-resistance genotypes.

Steve M Taylor, Christian M Parobek, Nash Aragam, Billy E Ngasala, Andreas Mårtensson, Steven R Meshnick, Jonathan J Juliano

Abstract read
In one paragraph

Article in The Journal of infectious diseases, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

  1. Trial
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  5. Application of a new highly multiplexed amplicon sequencing tool to evaluatemedRxiv : the preprint server for health sciences · 2024
    Article
  6. Article
  7. Review
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  19. Frontiers in cellular and infection microbiology · 2020
    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

7 authors.

Steve M TaylorDepartment of Epidemiology, Gillings School of Global Public Health.
Christian M Parobek
Nash Aragam
Billy E Ngasala
Andreas Mårtensson
Steven R Meshnick
Jonathan J Juliano

Funding

NRSA IN GENETICST32GM007092 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SEKELSKY, JEFF J. · 1985 to 2019
$5.9M
Within Host Selection of P. falciparum Variants by Artemisinin Combination TherapR01AI089819 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JULIANO, JONATHAN J · 2010 to 2014
$1.9M
Molecular pathogenesis and genetic diversification of childhood falciparum malariK08AI100924 · NIAID · DUKE UNIVERSITY · PI TAYLOR, STEVE MYER · 2012 to 2016
$611k
NIAID NIH HHS 5R01AI089819NIAID NIH HHS K08 AI100924NIAID NIH HHS K08AI100924NIAID NIH HHS R01 AI089819NIGMS NIH HHS T32 GM007092NIGMS NIH HHS T32GM0088719
6 · The paper itself

Abstract

Molecular surveillance for drug-resistant malaria parasites requires reliable, timely, and scalable methods. These data may be efficiently produced by genotyping parasite populations using second-generation sequencing (SGS). We designed and validated a SGS protocol to quantify mutant allele frequencies in the Plasmodium falciparum genes dhfr and dhps in mixed isolates. We applied this new protocol to field isolates from children and compared it to standard genotyping using Sanger sequencing. The SGS protocol accurately quantified dhfr and dhps allele frequencies in a mixture of parasite strains. Using SGS of DNA that was extracted and then pooled from individual isolates, we estimated mutant allele frequencies that were closely correlated to those estimated by Sanger sequencing (correlations, >0.98). The SGS protocol obviated most molecular steps in conventional methods and is cost saving for parasite populations >50. This SGS genotyping method efficiently and reproducibly estimates parasite allele frequencies within populations of P. falciparum for molecular epidemiologic studies.

Indexed as

AntimalarialsBase SequenceChildDNA, ProtozoanDrug ResistanceGene FrequencyGenotypeHigh-Throughput Nucleotide SequencingHumansMalaria, FalciparumMolecular EpidemiologyMolecular Sequence DataPlasmodium falciparumReproducibility of ResultsSequence Analysis, DNATanzaniaAntimalarialsDNA, Protozoandrug resistancemolecular surveillancePlasmodium falciparumtropical diseases

Identifiers

PMID23908494
PMCPMC3836461

What OpenQuestion holds

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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.