Ilze Skujina
Data Collector
Detecting genetic regions associated with height in the native ponies of the British Isles by using high density SNP genotyping. [Dataset]
Contributors
Clare L. Winton
Data Collector
Matthew J. Hegarty
Data Collector
Robert McMahon
Data Collector
Deborah M. Nash
Data Collector
Mina C.G. Davies Morel
Data Collector
Neil R. McEwan
Data Collector
Abstract
The aim of this research was to map quantitative trait loci data with withers height in four pony breeds native to the British Isles. Using a genome-wide analysis approach using the Illumina EquineSNP50 Infinium BeadChip, DNA samples from either hair root or cheek swab samples were taken from 120 adult (4+ years old) ponies. The authors concluded that combined inter-breed and intra-breed genome wide association data (GWAS) can be used to identify single nucleotide polymorphisms (SNPs) associated with height and therefore exclude SNPs that appear to be observed due to selection for breed-specific characteristics rather than to the actual trait studied, thereby enhancing our insight into loci associated with height-related traits in general.
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. [Dataset]. Genome [online], 61(10), pages 767-770. Available from: https://doi.org/10.1139/gen-2018-0006
Online Publication Date | Sep 5, 2018 |
---|---|
Publication Date | Oct 31, 2018 |
Deposit Date | Oct 19, 2018 |
Publicly Available Date | Oct 19, 2018 |
Print ISSN | 0831-2796 |
Electronic ISSN | 1480-3321 |
Publisher | Canadian Science Publishing |
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/10059/3187 |
Related Public URLs | http://hdl.handle.net/10059/3071 |
Type of Data | XLSX files, DOCX file and supporting text file. |
Collection Date | Oct 19, 2018 |
Contract Date | Oct 19, 2018 |
Files
SKUJINA 2018 Detecting genetic(Data)
(1.1 Mb)
Archive
Publisher Licence URL
https://creativecommons.org/licenses/by-nc/4.0/
You might also like
A systematic review on the role of wildlife as carriers and spreaders of campylobacter spp.
(2023)
Journal Article
Downloadable Citations
About OpenAIR@RGU
Administrator e-mail: publications@rgu.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search