Which Genomic Relationship Matrix?

Title
Which Genomic Relationship Matrix?
Publication Date
2015
Author(s)
Tier, Bruce
Meyer, Karin
Ferdosi, Mohammad
( author )
OrcID: https://orcid.org/0000-0001-5385-4913
Email: mferdos3@une.edu.au
UNE Id une-id:mferdos3
Editor
Editor(s): Kim Bunter, Tim Byrne, Hans Daetwyler, Susanne Hermesch, Kathryn Kemper, James Kijas, David Nation, Wayne Pitchford, Suzanne Rowe, Matt Shaffer, Alison van Eenennaam
Type of document
Conference Publication
Language
en
Entity Type
Publication
Publisher
Association for the Advancement of Animal Breeding and Genetics (AAABG)
Place of publication
Armidale, Australia
UNE publication id
une:19208
Abstract
Genomic information can accurately specify relationships among animals, including between those without known common ancestors. Genetic variances estimated with genomic data relate to unknown, more distant, founder populations than those defined by the pedigree. Starting from different sets of assumptions, the properties of some alternative genomic relationship matrices (G) are explored. Although the assumptions and matrices differ, the resulting sets of estimated breeding values predict the differences between animals identically, despite obtaining different estimates of the additive genetic variance - showing that there are many ways of building G that provide identical results. For some methods integer and logic, rather than floating point, operations will expedite building G many-fold.
Link
Citation
Proceedings of the Association for the Advancement of Animal Breeding and Genetics, v.21, p. 461-464
ISSN
1328-3227
ISBN
9780646945545
Start page
461
End page
464

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