ArticlePloS one2018
Modelling of strategies for genetic control of scrapie in sheep: The importance of population structure.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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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.
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Who cites it
8 citing papers in PubMed, 20 citations in OpenAlex.
- Review
- Predicted breeding values for relative scrapie susceptibility for genotyped and ungenotyped sheep.Genetics, selection, evolution : GSE · 2024Article
- Prediction of Genetic Resistance for Scrapie in Ungenotyped Sheep Using a Linear Animal Model.Genes · 2021Article
- Polymorphisms of Codons 110, 146, 211 and 222 at the GoatAnimals : an open access journal from MDPI · 2021Article
- Stability of BSE infectivity towards heat treatment even after proteolytic removal of prion protein.Veterinary research · 2021Article
- Cervid Prion Protein Polymorphisms: Role in Chronic Wasting Disease Pathogenesis.International journal of molecular sciences · 2021Review
- Article
- Why breed disease-resilient livestock, and how?Genetics, selection, evolution : GSE · 2020Review
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Scrapie is a transmissible spongiform encephalopathy in sheep and an example of a disease that may be controlled through breeding for disease resistance. Member states of the European Union have introduced strategies for breeding against scrapie based on the selection of genetically resistant breeding rams. An ambitious strategy adopted in The Netherlands consisted of selecting resistant rams for breeding throughout both breeding and production sectors. Mathematical modelling of the effect of a breeding program on the spreading capacity of scrapie in a national flock is needed for making assessments on how long a breeding strategy needs to be maintained to achieve disease control. Here we describe such a model applied to the Dutch situation, with the use of data on the genetic content of the Dutch sheep population as well as on scrapie occurrence in this population. We show that the time needed for obtaining scrapie control depends crucially on two parameters measuring sheep population structure: the between-flock heterogeneity in genotype frequencies, and the heterogeneity of mixing (contact rates) between sheep flocks. Estimating the first parameter from Dutch genetic survey data and assuming scenario values for the second one, enables model prediction of the time needed to achieve scrapie control in The Netherlands.
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