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Detecting genetic regions associated with height in the native ponies of the British Isles by using high density SNP genotyping. [Dataset]

Contributors

Ilze Skujina
Data Collector

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