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Comparison of deterministic and stochastic methods of calculating identity-by-descent matrices using multiple markers

Published online by Cambridge University Press:  20 November 2017

A.C. Sørensen ,
R. Pong-Wong ,
J.J. Windig  and
J.A. Woolliams
A.C. Sørensen
Affiliation:
Roslin Institute (Edinburgh), Roslin, Midlothian EH25 9PS, U.K. Danish Institute of Agricultural Science P.O. Box 50, DK-8830 Tjele, Denmark
R. Pong-Wong
Affiliation:
Roslin Institute (Edinburgh), Roslin, Midlothian EH25 9PS, U.K.
J.J. Windig
Affiliation:
Institute for Animal Science, ID-Lelystad P.O. Box 65, NL-8200 AB Lelystad, The Netherlands
J.A. Woolliams
Affiliation:
Roslin Institute (Edinburgh), Roslin, Midlothian EH25 9PS, U.K.
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Extract

Identity-by-descent (IBD) matrices are used for a number of practical applications, e.g. QTL-detection, marker assisted selection in breeding schemes (MAS), refining of covariances among relatives, and MAS for maintaining genetic variation. The calculation of IBD matrices can be made using Markov Chain Monte Carlo (MCMC). However, this is a computationally expensive method. Therefore, a simple deterministic method (Det) has been developed (Pong-Wong et al., 2001). The objective of this study is to evaluate this deterministic method relative to MCMC for the precision of the matrices and their performance in interval mapping and MAS.

Type
Theatre Presentations
Information
Proceedings of the British Society of Animal Science , Volume 2002 , 2002 , pp. 56
Copyright
Copyright © The British Society of Animal Science 2002

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References

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