Ilze Skujina
Detecting genetic regions associated with height in the native ponies of the British Isles by using high density SNP genotyping.
Skujina, Ilze; Winton, Clare L.; Hegarty, Matthew J.; McMahon, Robert; Nash, Deborah M.; Davies Morel, Mina C.G.; McEwan, Neil R.
Authors
Clare L. Winton
Matthew J. Hegarty
Robert McMahon
Deborah M. Nash
Mina C.G. Davies Morel
Neil R. McEwan
Abstract
Height is an important characteristic in the equine industry, although little is known about its genetic control in native British breeds of ponies. This study aimed to map QTL data with the withers height in four pony breeds native to the British Isles, including two different sections within Welsh Cobs. In this study, a genome-wide analysis approach using the Illumina Equine SNP50 Infinium BeadChip was applied to 105 ponies and cobs. Analysis identified 222 highly significant height-associated SNPs (P < 10-5), among which three SNPs on ECA9 have also been previously reported elsewhere. The highest number of significant SNPs associated to height in the native British horses were located on ECA1, ECA8 and ECA16.
Citation
SKUJINA, I., WINTON, C.L., HEGARTY, M.J., MCMAHON, R., NASH, D.M., DAVIES-MOREL, M.C.G. and MCEWAN, N.R. 2018. Detecting genetic regions associated with height in the native ponies of the British Isles by using high density SNP genotyping. Genome [online], 61(10), pages 767-770. Available from: https://doi.org/10.1139/gen-2018-0006
Journal Article Type | Article |
---|---|
Acceptance Date | Aug 9, 2018 |
Online Publication Date | Sep 5, 2018 |
Publication Date | Oct 31, 2018 |
Deposit Date | Aug 16, 2018 |
Publicly Available Date | Aug 16, 2018 |
Journal | Genome |
Print ISSN | 0831-2796 |
Electronic ISSN | 1480-3321 |
Publisher | NRC Research Press |
Peer Reviewed | Peer Reviewed |
Volume | 61 |
Issue | 10 |
Pages | 767-770 |
DOI | https://doi.org/10.1139/gen-2018-0006 |
Keywords | Height; Horse; Single nucleotide polymorphisms; Genome wide association; High density genotyping; Quantitative trait loci |
Public URL | http://hdl.handle.net/10059/3071 |
Related Public URLs | http://hdl.handle.net/10059/3187 |
Contract Date | Aug 16, 2018 |
Files
SKUJINA 2018 Detecting genetic regions
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Publisher Licence URL
https://creativecommons.org/licenses/by-nc/4.0/
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