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Evaluation of genetic approaches for controlling microparasite infections in livestock populations by genetic epidemiological modelling

Published online by Cambridge University Press:  20 November 2017

M. Nath ,
J.A. Woolliams  and
S. C. Bishop
M. Nath*
Affiliation:
Roslin Institute (Edinburgh), Roslin, Midlothian, Scotland, EH25 9PS
J.A. Woolliams
Affiliation:
Roslin Institute (Edinburgh), Roslin, Midlothian, Scotland, EH25 9PS
S. C. Bishop
Affiliation:
Roslin Institute (Edinburgh), Roslin, Midlothian, Scotland, EH25 9PS
*
E-mail: Mintu.Nath@bbsrc.ac.uk
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Extract

There is considerable research efforts aimed towards detecting disease resistance genes or QTL. If found and used in breeding programmes, such genes should reduce the likelihood and severity of epidemics. A critical question is which genes should be used and what will their impact be? Genetic epidemiological modeling techniques (MacKenzie and Bishop, 2001) can give insights into how we should prioritise the prospective resistance traits, hence candidate genes or QTL corresponding to these traits, for specific diseases. Here, a stochastic genetic epidemiological model is used to investigate the relative importance of different genetic control options and the effect of host genetic heterogeneity in controlling the transmission of a microparasitic, e.g. viral or bacterial, infection.

Type
Theatre Presentations
Information
Proceedings of the British Society of Animal Science , Volume 2004 , 2004 , pp. 29
Copyright
Copyright © The British Society of Animal Science 2004

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References

Anderson, R.M. and May, R.M. 1992. Infectious Diseases of Humans: Dynamics and Control. First Edition. Oxford University Press, Oxford, UK.Google Scholar
MacKenzie, K. and Bishop, S.C. 2001. Developing stochastic epidemiological models to quantify the dynamics of infectious diseases in domestic livestock. Journal of Animal Science 79: 2047–2056.Google Scholar