Evidence map›Paper›PMID 29227994›Full record

ArticlePLoS neglected tropical diseases2017

Low cost, low tech SNP genotyping tools for resource-limited areas: Plague in Madagascar as a model.

Cedar L Mitchell, Voahangy Andrianaivoarimanana, Rebecca E Colman, Joseph Busch, Heidie Hornstra-O'Neill, Paul S Keim, David M Wagner, Minoarisoa Rajerison, Dawn N Birdsell

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact, top 84% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Transmission of Antimicrobial Resistant Yersinia pestis During a Pneumonic Plague Outbreak.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
    Article
  7. Article
  8. 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

9 authors at 3 institutions in 2 countries.

Cedar L MitchellThe Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America.
Voahangy AndrianaivoarimananaPlague Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar.
Rebecca E ColmanThe Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America.
Joseph BuschThe Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America.
Heidie Hornstra-O'NeillThe Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America.
Paul S KeimThe Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America.
David M WagnerThe Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America.
Minoarisoa RajerisonPlague Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar.
Dawn N BirdsellThe Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, United States of America.
Northern Arizona University · USInstitut Pasteur de Madagascar · MGTranslational Genomics Research Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenetic analysis of pathogenic organisms is a useful tool for linking human cases together and/or to potential environmental sources. The resulting data can also provide information on evolutionary patterns within a targeted species and phenotypic traits. However, the instruments often used to generate genotyping data, such as single nucleotide polymorphisms (SNPs), can be expensive and sometimes require advanced technologies to implement. This places many genotyping tools out of reach for laboratories that do not specialize in genetic studies and/or lack the requisite financial and technological resources. To address this issue, we developed a low cost and low tech genotyping system, termed agarose-MAMA, which combines traditional PCR and agarose gel electrophoresis to target phylogenetically informative SNPs. METHODOLOGY/PRINCIPAL

findingsTo demonstrate the utility of this approach for generating genotype data in a resource-constrained area (Madagascar), we designed an agarose-MAMA system targeting previously characterized SNPs within Yersinia pestis, the causative agent of plague. We then used this system to genetically type pathogenic strains of Y. pestis in a Malagasy laboratory not specialized in genetic studies, the Institut Pasteur de Madagascar (IPM). We conducted rigorous assay performance validations to assess potential variation introduced by differing research facilities, reagents, and personnel and found no difference in SNP genotyping results. These agarose-MAMA PCR assays are currently employed as an investigative tool at IPM, providing Malagasy researchers a means to improve the value of their plague epidemiological investigations by linking outbreaks to potential sources through genetic characterization of isolates and to improve understanding of disease ecology that may contribute to a long-term control effort.

conclusionsThe success of our study demonstrates that the SNP-based genotyping capacity of laboratories in developing countries can be expanded with manageable financial cost for resource constraint laboratories. This is a practical formula that reduces resource-driven limitations to genetic research and promises to advance global collective knowledge of infectious diseases emanating from resource limited regions of the world.

Indexed as

Polymorphism, Single NucleotideCosts and Cost AnalysisElectrophoresis, Agar GelGenotyping TechniquesHealth ResourcesHumansMadagascarPlaguePolymerase Chain ReactionYersinia pestis

Identifiers

PMID29227994
PMCPMC5739503
OpenAlexW2773606465

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.