Optbr: computationally efficient genomic predictions and QTL mapping in multi-bred populations

Wang, Tingting, Yi-Ping, Phoebe Chen, Kemper, Kathryn E., Godard, Michael E. and Hayes, Ben J. (2015). Optbr: computationally efficient genomic predictions and QTL mapping in multi-bred populations. In: Iona MacLeod, Proceedings of the Twenty-first (21st) Conference. Association for the Advancement of Animal Breeding and Genetics, Lorne, VIC, Australia, (449-452). 28-30 September 2015.

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Name Description MIMEType Size Downloads
Author Wang, Tingting
Yi-Ping, Phoebe Chen
Kemper, Kathryn E.
Godard, Michael E.
Hayes, Ben J.
Title of paper Optbr: computationally efficient genomic predictions and QTL mapping in multi-bred populations
Conference name Association for the Advancement of Animal Breeding and Genetics
Conference location Lorne, VIC, Australia
Conference dates 28-30 September 2015
Proceedings title Proceedings of the Twenty-first (21st) Conference
Place of Publication Lorne, VIC, Australia
Publisher Association for the Advancement of Animal Breeding and Genetics
Publication Year 2015
Sub-type Fully published paper
Open Access Status Not yet assessed
ISBN 9780646945545
ISSN 1328-3227
Editor Iona MacLeod
Volume 21
Start page 449
End page 452
Total pages 4
Language eng
Abstract/Summary As genomic data used for prediction of complex traits rapidly expand in size, the importance of computational efficiency of genomic prediction algorithms becomes paramount. In this paper we describe an expectation-maximisation (EM) algorithm for genomic prediction (OptBR) with the speed-up scheme that is up to 30 times faster than MCMC implementations. The algorithm is flexible for joint analysis of data from different sources, as it includes weightings for the accuracy of phenotype, and can accommodate effects of factors such as breed, age, sex and additional covariates. A further advantage of the method is that QTL mapping is performed simultaneously with genomic prediction.
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Non-UQ
Additional Notes http://www.aaabg.org/aaabghome/AAABG21papers/Wang21449.pdf

Document type: Conference Paper
Collection: Institute for Molecular Bioscience - Publications
 
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Created: Tue, 23 May 2017, 13:48:12 EST by Kathryn Kemper on behalf of Institute for Molecular Bioscience