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A genome‐wide association study for quantitative trait loci of show‐jumping in Hanoverian warmblood horses
Author(s) -
Schröder W.,
Klostermann A.,
Stock K. F.,
Distl O.
Publication year - 2012
Publication title -
animal genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.756
H-Index - 81
eISSN - 1365-2052
pISSN - 0268-9146
DOI - 10.1111/j.1365-2052.2011.02265.x
Subject(s) - warmblood , biology , quantitative trait locus , jumping , genetics , genome wide association study , population , trait , candidate gene , evolutionary biology , horse , gene , genotype , single nucleotide polymorphism , physiology , paleontology , demography , sociology , computer science , programming language
Summary Show‐jumping is an economically important breeding goal in Hanoverian warmblood horses. The aim of this study was a genome‐wide association study (GWAS) for quantitative trait loci (QTL) for show‐jumping in Hanoverian warmblood horses, employing the Illumina equine SNP50 Beadchip. For our analyses, we genotyped 115 stallions of the National State stud of Lower Saxony. The show‐jumping talent of a horse includes style and ability in free‐jumping. To control spurious associations based on population stratification, two different mixed linear animal model (MLM) approaches were employed, besides linear models with fixed effects only and adaptive permutations for correcting multiple testing. Population stratification was explained best in the MLM considering Hanoverian, Thoroughbred, Trakehner and Holsteiner genes and the marker identity‐by‐state relationship matrix. We identified six QTL for show‐jumping on horse chromosomes (ECA) 1, 8, 9 and 26 (−log 10 P‐ value >5) and further putative QTL with −log 10 P‐ values of 3–5 on ECA1, 3, 11, 17 and 21. Within six QTL regions, we identified human performance‐related genes including PAPSS2 on ECA1, MYL2 on ECA8, TRHR on ECA9 and GABPA on ECA26 and within the putative QTL regions NRAP on ECA1, and TBX4 on ECA11. The results of our GWAS suggest that genes involved in muscle structure, development and metabolism are crucial for elite show‐jumping performance. Further studies are required to validate these QTL in larger data sets and further horse populations.