Accuracy of genomic selection using stochastic search variable selection in Australian Holstein Friesian dairy cattle

Verbyla, Klara L., Hayes, Ben J., Bowman, Philip. J. and Goddard, Michael E. (2009) Accuracy of genomic selection using stochastic search variable selection in Australian Holstein Friesian dairy cattle. Genetics Research, 91 5: 307-311. doi:10.1017/S0016672309990243


Author Verbyla, Klara L.
Hayes, Ben J.
Bowman, Philip. J.
Goddard, Michael E.
Title Accuracy of genomic selection using stochastic search variable selection in Australian Holstein Friesian dairy cattle
Journal name Genetics Research   Check publisher's open access policy
ISSN 0016-6723
Publication date 2009-10
Sub-type Letter to editor, brief commentary or brief communication
DOI 10.1017/S0016672309990243
Volume 91
Issue 5
Start page 307
End page 311
Total pages 5
Place of publication Cambridge, United Kingdom
Publisher Cambridge University Press
Language eng
Abstract Genomic selection describes a selection strategy based on genomic breeding values predicted from dense single nucleotide polymorphism (SNP) data. Multiple methods have been proposed but the critical issue is how to decide whether an SNP should be included in the predictive set to estimate breeding values. One major disadvantage of the traditional Bayes B approach is its high computational demands caused by the changing dimensionality of the models. The use of stochastic search variable selection (SSVS) retains the same assumptions about the distribution of SNP effects as Bayes B, while maintaining constant dimensionality. When Bayesian SSVS was used to predict genomic breeding values for real dairy data over a range of traits it produced accuracies higher or equivalent to other genomic selection methods with significantly decreased computational and time demands than Bayes B.
Q-Index Code CX
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Letter to editor, brief commentary or brief communication
Collection: Queensland Alliance for Agriculture and Food Innovation
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 59 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 59 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Fri, 05 Aug 2016, 10:15:18 EST by System User on behalf of Learning and Research Services (UQ Library)