Genome based genetic evaluation and genome wide selection using supervised dimension reduction based on partial least squares

G Moser; Ronald Edward Crump; Bruce Tier; J Solkner; K R Zenger; M S Khatkar; J A L Cavanagh; H W Raadsma

Genome based genetic evaluation and genome wide selection using supervised dimension reduction based on partial least squares

G Moser, Ronald Edward Crump, Bruce Tier, J Solkner, K R Zenger, M S Khatkar, J A L Cavanagh, H W Raadsma

Animal Genetics and Breeding Unit

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The method of partial least squares was applied to the prediction of genetic merit using whole genome scan data consisting of 10715 SNP. The method is particularly suited to data sets that have many more markers than observations and in which markers are collinear due to high linkage disequilibrium. A SNP ranking method was applied to select a subset of markers which have equal predictive power compared to using all SNP simultaneously.

Original language	English
Title of host publication	Proceedings of the Seventeenth Conference for the Advancement of Animal Breeding and Genetics
Editors	AAABG: Association for the Advancement of Animal Breeding, Genetics
Place of Publication	Armidale, Australia
Publisher	Association for the Advancement of Animal Breeding and Genetics (AAABG)
Pages	227-230
Volume	17
ISBN (Print)	1921208139
Publication status	Published - 2007
Event	AAABG 2007: 17th Conference of the Association for the Advancement of Animal Breeding and Genetics - University of New England, Armidale, Australia Duration: 23 Sept 2007 → 26 Sept 2007

Conference

Conference	AAABG 2007: 17th Conference of the Association for the Advancement of Animal Breeding and Genetics
City	Armidale, Australia
Period	23/09/07 → 26/09/07

Keywords

Quantitative Genetics (incl Disease and Trait Mapping Genetics)

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https://hdl.handle.net/1959.11/4161

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Moser, G., Crump, R. E., Tier, B., Solkner, J., Zenger, K. R., Khatkar, M. S., Cavanagh, J. A. L., & Raadsma, H. W. (2007). Genome based genetic evaluation and genome wide selection using supervised dimension reduction based on partial least squares. In AAABG. Association for the Advancement of Animal Breeding, & Genetics (Eds.), Proceedings of the Seventeenth Conference for the Advancement of Animal Breeding and Genetics (Vol. 17, pp. 227-230). Association for the Advancement of Animal Breeding and Genetics (AAABG). https://hdl.handle.net/1959.11/4161

Moser, G ; Crump, Ronald Edward ; Tier, Bruce et al. / Genome based genetic evaluation and genome wide selection using supervised dimension reduction based on partial least squares. Proceedings of the Seventeenth Conference for the Advancement of Animal Breeding and Genetics. editor / AAABG: Association for the Advancement of Animal Breeding ; Genetics. Vol. 17 Armidale, Australia : Association for the Advancement of Animal Breeding and Genetics (AAABG), 2007. pp. 227-230

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title = "Genome based genetic evaluation and genome wide selection using supervised dimension reduction based on partial least squares",

abstract = "The method of partial least squares was applied to the prediction of genetic merit using whole genome scan data consisting of 10715 SNP. The method is particularly suited to data sets that have many more markers than observations and in which markers are collinear due to high linkage disequilibrium. A SNP ranking method was applied to select a subset of markers which have equal predictive power compared to using all SNP simultaneously.",

keywords = "Quantitative Genetics (incl Disease and Trait Mapping Genetics)",

author = "G Moser and Crump, \{Ronald Edward\} and Bruce Tier and J Solkner and Zenger, \{K R\} and Khatkar, \{M S\} and Cavanagh, \{J A L\} and Raadsma, \{H W\}",

year = "2007",

language = "English",

isbn = "1921208139",

volume = "17",

pages = "227--230",

editor = "\{Association for the Advancement of Animal Breeding\}, AAABG: and Genetics",

booktitle = "Proceedings of the Seventeenth Conference for the Advancement of Animal Breeding and Genetics",

publisher = "Association for the Advancement of Animal Breeding and Genetics (AAABG)",

note = "AAABG 2007: 17th Conference of the Association for the Advancement of Animal Breeding and Genetics ; Conference date: 23-09-2007 Through 26-09-2007",

}

Moser, G, Crump, RE, Tier, B, Solkner, J, Zenger, KR, Khatkar, MS, Cavanagh, JAL & Raadsma, HW 2007, Genome based genetic evaluation and genome wide selection using supervised dimension reduction based on partial least squares. in AAABG Association for the Advancement of Animal Breeding & Genetics (eds), Proceedings of the Seventeenth Conference for the Advancement of Animal Breeding and Genetics. vol. 17, Association for the Advancement of Animal Breeding and Genetics (AAABG), Armidale, Australia, pp. 227-230, AAABG 2007: 17th Conference of the Association for the Advancement of Animal Breeding and Genetics, Armidale, Australia, 23/09/07. <https://hdl.handle.net/1959.11/4161>

Genome based genetic evaluation and genome wide selection using supervised dimension reduction based on partial least squares. / Moser, G; Crump, Ronald Edward; Tier, Bruce et al.
Proceedings of the Seventeenth Conference for the Advancement of Animal Breeding and Genetics. ed. / AAABG: Association for the Advancement of Animal Breeding; Genetics. Vol. 17 Armidale, Australia: Association for the Advancement of Animal Breeding and Genetics (AAABG), 2007. p. 227-230.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Genome based genetic evaluation and genome wide selection using supervised dimension reduction based on partial least squares

AU - Moser, G

AU - Crump, Ronald Edward

AU - Tier, Bruce

AU - Solkner, J

AU - Zenger, K R

AU - Khatkar, M S

AU - Cavanagh, J A L

AU - Raadsma, H W

PY - 2007

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N2 - The method of partial least squares was applied to the prediction of genetic merit using whole genome scan data consisting of 10715 SNP. The method is particularly suited to data sets that have many more markers than observations and in which markers are collinear due to high linkage disequilibrium. A SNP ranking method was applied to select a subset of markers which have equal predictive power compared to using all SNP simultaneously.

AB - The method of partial least squares was applied to the prediction of genetic merit using whole genome scan data consisting of 10715 SNP. The method is particularly suited to data sets that have many more markers than observations and in which markers are collinear due to high linkage disequilibrium. A SNP ranking method was applied to select a subset of markers which have equal predictive power compared to using all SNP simultaneously.

KW - Quantitative Genetics (incl Disease and Trait Mapping Genetics)

UR - http://trove.nla.gov.au/work/35062558?selectedversion=NBD42373479

UR - http://www.aaabg.org/livestocklibrary/2007/moser227.pdf

M3 - Conference contribution

SN - 1921208139

VL - 17

SP - 227

EP - 230

BT - Proceedings of the Seventeenth Conference for the Advancement of Animal Breeding and Genetics

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PB - Association for the Advancement of Animal Breeding and Genetics (AAABG)

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ER -

Moser G, Crump RE, Tier B, Solkner J, Zenger KR, Khatkar MS et al. Genome based genetic evaluation and genome wide selection using supervised dimension reduction based on partial least squares. In Association for the Advancement of Animal Breeding AAABG, Genetics, editors, Proceedings of the Seventeenth Conference for the Advancement of Animal Breeding and Genetics. Vol. 17. Armidale, Australia: Association for the Advancement of Animal Breeding and Genetics (AAABG). 2007. p. 227-230

Genome based genetic evaluation and genome wide selection using supervised dimension reduction based on partial least squares

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