Evidence map›Paper›PMID 28118860›Full record

ArticleGenome medicine2017

Genetic relatedness analysis reveals the cotransmission of genetically related Plasmodium falciparum parasites in Thiès, Senegal.

Wesley Wong, Allison D Griggs, Rachel F Daniels, Stephen F Schaffner, Daouda Ndiaye, Amy K Bei, Awa B Deme, Bronwyn MacInnis, Sarah K Volkman, Daniel L Hartl and 2 more

Abstract read
In one paragraph

Article in Genome medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
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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

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3 · Its place in the literature

Who cites it

43 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

12 authors.

Wesley WongDepartment of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, MA, 02115, USA.
Allison D GriggsBroad Institute, Cambridge, MA, 02142, USA.
Rachel F DanielsDepartment of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, MA, 02115, USA.
Stephen F SchaffnerBroad Institute, Cambridge, MA, 02142, USA.
Daouda NdiayeFaculty of Medicine and Pharmacy, Cheikh Anta Diop University, Dakar, Senegal.
Amy K BeiDepartment of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, MA, 02115, USA.
Awa B DemeFaculty of Medicine and Pharmacy, Cheikh Anta Diop University, Dakar, Senegal.
Bronwyn MacInnisBroad Institute, Cambridge, MA, 02142, USA.
Sarah K VolkmanDepartment of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, MA, 02115, USA.
Daniel L HartlDepartment of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, MA, 02115, USA.
Daniel E NeafseyBroad Institute, Cambridge, MA, 02142, USA.
Dyann F WirthDepartment of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, MA, 02115, USA. DFWirth@hsph.harvard.edu.

Funding

Novel Genetic Mechanism of Artemisinin Resistance for MalariaR01AI099105 · NIAID · HARVARD SCHOOL OF PUBLIC HEALTH · PI HARTL, DANIEL L, WIRTH, DYANN F · 2013 to 2021
$5.4M
The Graduate Program in Tropical Infectious Diseases (GPiTID)T32AI049928 · NIAID · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Flaminia Catteruccia, Phyllis J. Kanki · 2001 to 2026
$5.0M
Employing genetic and genomic surveillance to reveal mechanisms of malaria parasite persistenceK01TW010496 · FIC · YALE UNIVERSITY · PI BEI, AMY KRISTINE · 2016 to 2021
$754k
FIC NIH HHS K01 TW010496NIAID NIH HHS T32 AI049928
6 · The paper itself

Abstract

backgroundAs public health interventions drive parasite populations to elimination, genetic epidemiology models that incorporate population genomics can be powerful tools for evaluating the effectiveness of continued intervention. However, current genetic epidemiology models may not accurately simulate the population genetic profile of parasite populations, particularly with regard to polygenomic (multi-strain) infections. Current epidemiology models simulate polygenomic infections via superinfection (multiple mosquito bites), despite growing evidence that cotransmission (a single mosquito bite) may contribute to polygenomic infections.

methodsHere, we quantified the relatedness of strains within 31 polygenomic infections collected from patients in Thiès, Senegal using a hidden Markov model to measure the proportion of the genome that is inferred to be identical by descent.

resultsWe found that polygenomic infections can be composed of highly related parasites and that superinfection models drastically underestimate the relatedness of strains within polygenomic infections.

conclusionsOur findings suggest that cotransmission is a major contributor to polygenomic infections in Thiès, Senegal. The incorporation of cotransmission into existing genetic epidemiology models may enhance our ability to characterize and predict changes in population structure associated with reduced transmission intensities and the emergence of important phenotypes like drug resistance that threaten to undermine malaria elimination activities.

Indexed as

Genome, ProtozoanModels, GeneticGenetic VariationHumansMalaria, FalciparumMarkov ChainsPlasmodium falciparumSenegalCoinfectionCotransmissionEpidemiologyGenomicsMalariaPolygenomic infectionRelatednessSuperinfectionTransmission

Identifiers

PMID28118860
PMCPMC5260019

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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.