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Helminth Collection and Identification from Wildlife
09:37

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Published on: December 14, 2013

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Estimating helminth burdens using sibship reconstruction.

M Inês Neves1,2, Joanne P Webster3,4, Martin Walker3,4

  • 1Department of Pathobiology and Population Sciences, Royal Veterinary College, University of London, Hawkshead Lane, Hatfield, UK. mneves@rvc.ac.uk.

Parasites & Vectors
|September 17, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a new statistical method to estimate helminth worm burdens using offspring genetic data. This advances parentage analysis for better understanding disease transmission and treatment monitoring.

Keywords:
Neglected tropical diseasesParentage analysisSchistosomiasisSibship reconstructionWorm burden

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Area of Science:

  • Parasitology
  • Genetics
  • Epidemiology

Background:

  • Sibship reconstruction analyzes offspring genetics to infer parental genotypes.
  • This method can estimate helminth worm burdens, crucial for inaccessible adult parasites in diseases like schistosomiasis.
  • Current limitations exist in inferring worm burdens from sibship data.

Purpose of the Study:

  • To develop a novel statistical method for estimating female helminth worm burdens using sibship reconstruction data.
  • To address the lack of methods for inferring worm burdens from genetic data of offspring.
  • To expand the application scope of parentage analysis in parasitology.

Main Methods:

  • Developed a statistical approach to estimate worm burdens from unique parental genotypes identified via sibship reconstruction.
  • Applied the method to genotypic data of Schistosoma mansoni offspring from Tanzanian schoolchildren.
  • Analyzed the impact of offspring sample size on the bias and precision of worm burden estimates.

Main Results:

  • A novel method for estimating female worm burdens from sibship reconstruction data was developed.
  • The accuracy of worm burden estimates is significantly influenced by the number of offspring sampled.
  • Strategies for optimizing sample size and incorporating prior information to enhance accuracy were discussed.

Conclusions:

  • The study presents a new method for estimating individual helminth worm burdens using offspring genetic data.
  • This advancement facilitates the application of parentage analysis in studying helminthiases and neglected tropical diseases.
  • The method can aid in interpreting data from mass drug administration programs and understanding disease transmission dynamics.