581
Functional cluster analysis of genome wide associations for energy balance for cows in experimental herds in four European countries

Thursday, August 21, 2014
Posters (The Westin Bayshore)
Arjan Tolkamp , Scotlands Rural College (SRUC), Edinburgh, United Kingdom
Mike P Coffey , SRUC, Edinburgh, United Kingdom
Eileen Wall , SRUC, Edinburgh, United Kingdom
Donagh P Berry , Animal & Grassland Research and Innovation Centre, Teagasc, Moorepark, Fermoy, Co. Cork, Ireland
Erling Strandberg , Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden
Roel F. Veerkamp , Animal Breeding and Genomics Centre, Wageningen University, Wageningen, Netherlands
Abstract Text:

Genome-wide association studies (GWAS) for difficult-to-measure traits are generally limited by the sample size with accurate phenotypic data. The objective of this study was to utilise data on primiparous Holstein-Friesian dairy cows from experimental farms in Ireland, UK, the Netherlands and Sweden to identify genomic regions associated with energy balance which was modelled from dry matter intake (DMI), body condition score(BCS), live weight(LW) and fat and protein corrected milk yield (FPCM). Phenotypic data and 37,590 single nucleotide polymorphisms (SNPs) were available on up to 1,629 animals. Regions around significant SNPs identified by GWAS were analysed and functional clusters of nearby genes identified. Potential candidate genes are involved with functions linked to ion binding and proteolysis.

Keywords:

energy balance

GWAS

functional clustering

See more of: Posters: Genetics of Trait Complexes - Feed Intake and Efficiency (Group 2)
See more of: Genetics of Trait Complexes: Feed intake and efficiency
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