Genome-wide association study for jumping performances in French sport horses.
Abstract: A genome-wide association study was performed to identify single nucleotide polymorphisms (SNPs) associated with jumping performances of warmbloods in France. The 999 horses included in the study for jumping performances were sport horses [mostly Selle Français (68%), Anglo-Arabians (13%) and horses from the other European studbooks]. Horses were genotyped using the Illumina EquineSNP50 BeadChip. Of the 54,602 SNPs available on this chip, 44,424 were retained after quality testing. Phenotypes were obtained by deregressing official breeding values for jumping competitions to use all available information, that is, the performances of each horse as well as those of its relatives. Two models were used to test the effects of the genotypes on deregressed phenotypes: a single-marker mixed model and a haplotype-based mixed model (significant: P < 1E-05; suggestive: P < 1E-04). Both models included a polygenic effect to take into account familial structures. For jumping performances, one suggestive quantitative trait locus (QTL) located on chromosome 1 (BIEC2_31196 and BIEC2_31198) was detected with both models. This QTL explains 0.7% of the phenotypic variance. RYR2, a gene encoding a major calcium channel in cardiac muscle in humans and mice, is located 0.55 Mb from this potential QTL.
© 2014 Stichting International Foundation for Animal Genetics.
Publication Date: 2014-12-16 PubMed ID: 25515185DOI: 10.1111/age.12245Google Scholar: Lookup
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- Journal Article
- Research Support
- Non-U.S. Gov't
Summary
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This research conducted a genome-wide study to identify genetic variances linked to the jumping performances of French warmblood horses, discovering a significant trait locus on chromosome 1, which accounts for 0.7% of the phenotypic variance.
Study Design and Participants
- The study involved 999 sport horses including mainly Selle Français (68%), Anglo-Arabians (13%), and horses from other European studbooks. These horses were chosen with the aim of investigating genetic factors impacting their jumping performance.
Genotyping and Quality Control
- To identify genetic differences, horses were genotyped using a tool called the Illumina EquineSNP50 BeadChip.
- Out of the 54,602 single nucleotide polymorphisms (SNPs) available on this chip, 44,424 were retained after a quality testing process which was designed to ensure the accuracy and reliability of the genetic data used in the study.
Phenotype Derivation and Models Used
- The phenotype, or observable traits, of the horses were obtained by deregressing the official breeding values for jumping competitions. This process took into account not just the performance of the individual horse but also the performances of its relatives, creating broader and more nuanced data.
- Two models were utilized to examine the effects of the genotypes on these phenotypes. These models were a single-marker mixed model and a haplotype-based mixed model. Both of these models included a polygenic effect to take familial structures into account.
Results and Conclusions
- The outcome of the study was the detection of one suggestive quantitative trait locus (QTL) situated on chromosome 1. This QTL could potentially explain up to 0.7% of the phenotypic variance in jumping performances among these horses.
- The gene RYR2, which encodes a major calcium channel in cardiac muscle in humans and mice, is located near this potential QTL – only 0.55 Megabases away. This proximity suggests a possible connection or interaction, which could form part of the basis for further exploration of the genetic factors impacting jumping ability in horses.
Cite This Article
APA
Brard S, Ricard A.
(2014).
Genome-wide association study for jumping performances in French sport horses.
Anim Genet, 46(1), 78-81.
https://doi.org/10.1111/age.12245 Publication
Researcher Affiliations
- INRA, GenPhySE (Génétique Physiologie et Systèmes d'Elevage), F-31326, Castanet-Tolosan, France; INP, ENSAT, GenPhySE (Génétique Physiologie et Systèmes d'Elevage), Université de Toulouse, F-31326, Castanet-Tolosan, France; INP, ENVT, GenPhySE (Génétique Physiologie et Systèmes d'Elevage), Université de Toulouse, F-31076, Toulouse, France.
MeSH Terms
- Animals
- Breeding
- Chromosome Mapping / veterinary
- Female
- France
- Genetic Association Studies
- Genotype
- Haplotypes
- Horses / genetics
- Male
- Models, Genetic
- Motor Activity / genetics
- Oligonucleotide Array Sequence Analysis
- Phenotype
- Physical Conditioning, Animal
- Polymorphism, Single Nucleotide
- Quantitative Trait Loci
Citations
This article has been cited 6 times.- Walz KR, McCormick ME, Fedorka CE. The Thoroughbred Theory: Influence of Breed on Performance at the CCI5*-L Level of Eventing. Animals (Basel) 2025 Jun 18;15(12).
- Nazari-Ghadikolaei A, Fikse WF, Viklund ÅG, Mikko S, Eriksson S. Single-Step Genome-Wide Association Study of Factors for Evaluated and Linearly Scored Traits in Swedish Warmblood Horses. J Anim Breed Genet 2025 Sep;142(5):499-512.
- Reißmann M, Rajavel A, Kokov ZA, Schmitt AO. Identification of Differentially Expressed Genes after Endurance Runs in Karbadian Horses to Determine Candidates for Stress Indicators and Performance Capability. Genes (Basel) 2023 Oct 24;14(11).
- Dugué M, Dumont Saint Priest B, Crichan H, Danvy S, Ricard A. Genomic Correlations Between the Gaits of Young Horses Measured by Accelerometry and Functional Longevity in Jumping Competition. Front Genet 2021;12:619947.
- Ricard A, Dumont Saint Priest B, Danvy S, Barrey E. Accelerometers Provide Early Genetic Selection Criteria for Jumping Horses. Front Genet 2020;11:448.
- Raudsepp T, Finno CJ, Bellone RR, Petersen JL. Ten years of the horse reference genome: insights into equine biology, domestication and population dynamics in the post-genome era. Anim Genet 2019 Dec;50(6):569-597.
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