Award details

Using stochastic models to assess influence of population genetic structure on disease transmission in livestock populations

Reference	D15933
Principal Investigator / Supervisor	Professor Stephen Bishop
Co-Investigators / Co-Supervisors	Professor John Woolliams
Institution	The Roslin Institute
Department	Genetics and Genomics
Funding type	Research
Value (£)	129,892
Status	Completed
Type	Research Grant
Start date	18/06/2002
End date	17/11/2005
Duration	41 months

Abstract

This study addresses the impact and effective use of disease resistance genes or QTL. It links genetics and epidemiology to predict the effects of host genetic heterogeneity on disease transmission. Host population genetic architecture for disease resistance (single genes, finite locus or infinitesimal models) will be developed, as will generic epidemic models for different disease transmission routes. We will 1) quantify the impact of genetic variation in the host population upon disease impact and risk for each disease scenario, 2) predict appropriate genetic management strategies for disease control and 3) assess the effectiveness of these strategies. The results will be highly relevant to BBSRC strategy, of value in agriculture or other sectors with managed populations, and provide insight into disease transmission and evolution in human and wild populations.

Summary

unavailable

Committee	Closed Committee - Agri-food (AF)
Research Topics	X – not assigned to a current Research Topic
Research Priority	X – Research Priority information not available
Research Initiative	X - not in an Initiative
Funding Scheme	X – not Funded via a specific Funding Scheme

I accept the terms and conditions of use (opens in new window)

export PDF file

back to list new search