Evidence map›Paper›PMID 25159520›Full record

ArticleBMC genomics2014

A microarray platform and novel SNP calling algorithm to evaluate Plasmodium falciparum field samples of low DNA quantity.

Christopher G Jacob, John C Tan, Becky A Miller, Asako Tan, Shannon Takala-Harrison, Michael T Ferdig, Christopher V Plowe

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Malaria Genomics, Vaccine Development, and Microbiome.Pathogens (Basel, Switzerland) · 2023
    Review
  3. Article
  4. An open dataset ofWellcome open research · 2021
    Article
  5. Article
  6. Genomic Epidemiology of Antimalarial Drug Resistance inFrontiers in cellular and infection microbiology · 2020
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
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 at 4 institutions in 2 countries.

Christopher G Jacob
John C Tan
Becky A Miller
Asako Tan
Shannon Takala-Harrison
Michael T Ferdig
Christopher V PloweMalaria Group, Howard Hughes Medical Institute / Center for Vaccine Development, University of Maryland School of Medicine, Baltimore, MD 21201, USA. cplowe@medicine.umaryland.edu.
University of Maryland, Baltimore · USUniversity of Notre Dame · USLa Roche College · USNational Institutes of Health · US

Funding

Genome-wide studies to identify markers of artemisinin-resistant malariaR01AI101713 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI HARRISON, SHANNON TAKALA · 2013 to 2016
$1.8M
Howard Hughes Medical InstituteNIAID NIH HHS R01 AI101713NIAID NIH HHS R01AI10171302
6 · The paper itself

Abstract

backgroundAnalysis of single nucleotide polymorphisms (SNPs) derived from whole-genome studies allows for rapid evaluation of genome-wide diversity, and genomic epidemiology studies of Plasmodium falciparum provide insights into parasite population structure, gene flow, drug resistance and vaccine development. In areas with adequate cold chain facilities, large volumes of leukocyte-depleted patient blood can be frozen for use in parasite genomic analyses. In more remote endemic areas smaller volumes of infected blood are taken by finger prick, and dried and stored on filter paper. These dried blood spots do not generally yield enough concentrated parasite DNA for whole-genome sequencing.

resultsA DNA microarray was designed for use on field samples to type a genome-wide set of SNPs which prior sequencing had shown to be variable in Africa, Southeast Asia, and Papua New Guinea. An algorithm was designed to call SNPs in samples with low parasite DNA. With this new algorithm SNP-calling accuracy of 98% was measured by hybridizing purified DNA from malaria lab strains and comparing calls with SNPs called from full genome sequences. An average accuracy of >98% was likewise obtained for DNA extracted from malaria field samples collected in studies in Southeast Asia, with an average call rate of > 82%.

conclusionThis new high-density microarray provided high quality SNP calls from a wide range of parasite DNA quantities, and represents a robust tool for genome-wide analysis of malaria parasites in diverse settings.

Indexed as

Polymorphism, Single NucleotideDNA, ProtozoanGenotyping TechniquesHumansMalaria, FalciparumOligonucleotide Array Sequence AnalysisPlasmodium falciparumReference StandardsDNA, Protozoan

Identifiers

PMID25159520
PMCPMC4153902
OpenAlexW2001672704

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.