Literature DB >> 21070277

Targets of selection in the Thoroughbred genome contain exercise-relevant gene SNPs associated with elite racecourse performance.

E W Hill1, J Gu, B A McGivney, D E MacHugh.   

Abstract

Athletic performance is influenced by a complex interplay among the environment and a suite of genes, which contributes to system-wide structure and function. In a panel of elite and non-elite Thoroughbred horses (n=148), we genotyped 68 SNPs in 17 putative exercise-relevant genes chosen from a genome scan for selection. We performed a series of case-control and quantitative association tests for relationships with racecourse performance. Thirteen SNPs in nine genes were significantly (P<0.05) associated with a performance phenotype. We selected five SNPs in four genes (ACSS1, ACN9, COX4I1, PDK4) for validation in an independent sample set of elite and non-elite Thoroughbreds (n=130). Two SNPs in the PDK4 gene were validated (P<0.01) for associations with elite racing performance. When all samples were considered together (n=278), the PDK4_ 38973231 SNP was strongly associated (P<0.0005) with elite racing performance. Individuals with the A:A and A:G genotypes had a 16.2-16.6 lb advantage over G:G individuals in terms of handicap rating. Re-sequencing of the PDK4 gene and further genotyping will be required to identify the causative variant that is likely influencing exercise-induced variation in expression of the gene. Notwithstanding, this information may be employed as a marker for the selection of racehorses with the genetic potential for superior racing ability.
© 2010 The Authors, Journal compilation © 2010 Stichting International Foundation for Animal Genetics.

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Year:  2010        PMID: 21070277     DOI: 10.1111/j.1365-2052.2010.02104.x

Source DB:  PubMed          Journal:  Anim Genet        ISSN: 0268-9146            Impact factor:   3.169


  26 in total

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Review 3.  Applied equine genetics.

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5.  Whole-genome sequencing and genetic variant analysis of a Quarter Horse mare.

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6.  Multiple Genes Related to Muscle Identified through a Joint Analysis of a Two-stage Genome-wide Association Study for Racing Performance of 1,156 Thoroughbreds.

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7.  Characterisation of the horse transcriptome from immunologically active tissues.

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8.  Genome-wide analysis reveals selection for important traits in domestic horse breeds.

Authors:  Jessica L Petersen; James R Mickelson; Aaron K Rendahl; Stephanie J Valberg; Lisa S Andersson; Jeanette Axelsson; Ernie Bailey; Danika Bannasch; Matthew M Binns; Alexandre S Borges; Pieter Brama; Artur da Câmara Machado; Stefano Capomaccio; Katia Cappelli; E Gus Cothran; Ottmar Distl; Laura Fox-Clipsham; Kathryn T Graves; Gérard Guérin; Bianca Haase; Telhisa Hasegawa; Karin Hemmann; Emmeline W Hill; Tosso Leeb; Gabriella Lindgren; Hannes Lohi; Maria Susana Lopes; Beatrice A McGivney; Sofia Mikko; Nicholas Orr; M Cecilia T Penedo; Richard J Piercy; Marja Raekallio; Stefan Rieder; Knut H Røed; June Swinburne; Teruaki Tozaki; Mark Vaudin; Claire M Wade; Molly E McCue
Journal:  PLoS Genet       Date:  2013-01-17       Impact factor: 5.917

9.  Tracking Five Millennia of Horse Management with Extensive Ancient Genome Time Series.

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