LASSO and SVM: an alternative approach to identify associated genome regions for simple and complex traits in cattle

Widmer, S.; Seefried, F. R.; Drögemüller, C.; von Rohr, P. (9 February 2023). LASSO and SVM: an alternative approach to identify associated genome regions for simple and complex traits in cattle. In: Veerkamp, R. F.; de Haas, Y. (eds.) Proceedings of 12th World Congress on Genetics Applied to Livestock Production (pp. 1664-1667). The Netherlands: Wageningen Academic Publishers 10.3920/978-90-8686-940-4_399

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Variable selection via the LASSO regression analysis followed by a classification of phenotypes into two groups of cases and controls using SVM was performed to identify genomic regions associated with phenotypic traits of interest. This approach was successfully validated by identifying previously known genomic associations for two Mendelian traits and a complex polygenic trait in Swiss cattle populations. Furthermore, new associated regions for the trait multiple birth were found in Holstein. Therefore, this approach proved to be a valuable alternative to identify associated genomic regions for inherited traits in livestock.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

05 Veterinary Medicine > Department of Clinical Research and Veterinary Public Health (DCR-VPH) > Institute of Genetics
05 Veterinary Medicine > Department of Clinical Research and Veterinary Public Health (DCR-VPH)

Graduate School:

Graduate School for Cellular and Biomedical Sciences (GCB)

UniBE Contributor:

Widmer, Sarah, Drögemüller, Cord

Subjects:

500 Science > 590 Animals (Zoology)
600 Technology > 630 Agriculture
600 Technology > 610 Medicine & health

ISBN:

978-90-8686-940-4

Publisher:

Wageningen Academic Publishers

Language:

English

Submitter:

Cord Drögemüller

Date Deposited:

17 Feb 2023 11:48

Last Modified:

17 Feb 2023 23:28

Publisher DOI:

10.3920/978-90-8686-940-4_399

BORIS DOI:

10.48350/178888

URI:

https://boris.unibe.ch/id/eprint/178888

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