Genetic Architecture of clinical mastitis traits in dairy cattle

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A dense SNP panel was used to predict the genetic merit of an individual for selection in livestock. The accuracy of genomic predictions depends in part on the genetic architecture of the trait, in particular the number of loci affecting the trait and distribution of their effects. Here we investigate the genetic architecture of clinical mastitis and somatic cell score traits in dairy cattle using a high density (HD) SNP panel. Mastitis, an inflammation of the mammary gland most commonly caused by bacterial infection, is a frequent disease in dairy cattle. Clinical mastitis and somatic cell score from first three lactations were studied for association with SNP markers in 4,200 progeny-tested Nordic Holstein bulls. Single trait breeding values were used as phenotypes. All the individuals were genotyped with BovineSNP50 Beadchip. Part of this population was also genotyped with the BovineHD BeadChip. A total of 648,219 SNPs passed the quality control criteria for genotypes from the high density SNP panel. All the 4,200 individuals’ genotypes were imputed to the high density SNP panel using the software Beagle. The associations between the phenotypes and SNPs were estimated by a linear mixed model analysis. After Bonferroni correction 12, 372 SNP exhibited genome-wide significant associations with mastitis related traits. A total 61 QTL regions on 22 chromosomes associated with mastitis related traits were identified. The SNP with highest effect explained 5.6% of the variance of the predicted breeding values for the first lactation clinical mastitis
TitelProgramme & Book of Abstracts of ICQG 2012
Antal sider1
Udgivelsesår17 jun. 2012
StatusUdgivet - 17 jun. 2012
Begivenhed4th International Conference on Quantitative Genetics - Edinburgh International Conference Centre, Edinburgh, Storbritannien
Varighed: 17 jun. 201222 jun. 2012
Konferencens nummer: 4th


Konference4th International Conference on Quantitative Genetics
LokationEdinburgh International Conference Centre

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