The contribution of myostatin (MSTN) and additional modifying genetic loci to race distance aptitude in Thoroughbred horses racing in different geographic regions.
GWAS
Thoroughbred
genomics
horse
myostatin
prediction
race distance
Journal
Equine veterinary journal
ISSN: 2042-3306
Titre abrégé: Equine Vet J
Pays: United States
ID NLM: 0173320
Informations de publication
Date de publication:
Sep 2019
Sep 2019
Historique:
received:
14
03
2018
accepted:
14
11
2018
pubmed:
4
1
2019
medline:
7
1
2020
entrez:
4
1
2019
Statut:
ppublish
Résumé
Race distance aptitude in Thoroughbred horses is highly heritable and is influenced largely by variation at the myostatin gene (MSTN). In addition to MSTN, we hypothesised that other modifying loci contribute to best race distance. Using 3006 Thoroughbreds, including 835 'elite' horses, which were >3 years old, had race records and were sampled from Europe/Middle-East, Australia/New Zealand, North America and South Africa, we performed genome-wide association (GWA) tests and separately developed a genomic prediction algorithm to comprehensively catalogue additive genetic variation contributing to best race distance. 48,896 single-nucleotide polymorphism (SNP) genotypes were generated from high-density SNP genotyping arrays. Heritability estimates, tests of GWA and genomic prediction models were derived for the phenotypes: average race distance, best race distance for elite, nonelite and all winning horses. Heritability estimates were high ( The nongenetic influence of owner/trainer decisions on placement of horses in suitable races could not be controlled. MSTN is the single most important genetic contributor to best race distance in the Thoroughbred. Employment of genetic prediction models will lead to more accurate placing of horses in races that are best suited to their inherited genetic potential for distance aptitude.
Sections du résumé
BACKGROUND
BACKGROUND
Race distance aptitude in Thoroughbred horses is highly heritable and is influenced largely by variation at the myostatin gene (MSTN).
OBJECTIVES
OBJECTIVE
In addition to MSTN, we hypothesised that other modifying loci contribute to best race distance.
STUDY DESIGN
METHODS
Using 3006 Thoroughbreds, including 835 'elite' horses, which were >3 years old, had race records and were sampled from Europe/Middle-East, Australia/New Zealand, North America and South Africa, we performed genome-wide association (GWA) tests and separately developed a genomic prediction algorithm to comprehensively catalogue additive genetic variation contributing to best race distance.
METHODS
METHODS
48,896 single-nucleotide polymorphism (SNP) genotypes were generated from high-density SNP genotyping arrays. Heritability estimates, tests of GWA and genomic prediction models were derived for the phenotypes: average race distance, best race distance for elite, nonelite and all winning horses.
RESULTS
RESULTS
Heritability estimates were high (
MAIN LIMITATIONS
CONCLUSIONS
The nongenetic influence of owner/trainer decisions on placement of horses in suitable races could not be controlled.
CONCLUSIONS
CONCLUSIONS
MSTN is the single most important genetic contributor to best race distance in the Thoroughbred. Employment of genetic prediction models will lead to more accurate placing of horses in races that are best suited to their inherited genetic potential for distance aptitude.
Substances chimiques
Myostatin
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
625-633Subventions
Organisme : Science Foundation Ireland
ID : 11/PI/1166
Pays : Ireland
Organisme : Plusvital Ltd
Informations de copyright
© 2019 EVJ Ltd.