M.S. Lund

TL;DR: The 1000 bull genomes project supports the goal of accelerating the rates of genetic gain in domestic cattle while at the same time considering animal health and welfare by providing the annotated sequence variants and genotypes of key ancestor bulls.

TL;DR: This paper assesses the increase in reliability achieved when combining four Holstein reference populations of 4000 bulls each from European breeding organizations, i.e. UNCEIA, VikingGenetics, DHV-VIT and CRV, into a single large reference population.

TL;DR: Using BEAGLE for pre-phasing and IMPUTE2 for imputation is a fast and accurate strategy to increase the size of the reference data and in turn the accuracy of imputation when only few animals are available.

TL;DR: The identification of fertility trait-associated SNPs and mapping of the corresponding QTL in small chromosomal regions reported here will facilitate searches for candidate genes and candidate polymorphisms.

TL;DR: The results indicate that Beagle and IMPUTE2 provide the most robust and accurate imputation accuracies, but considering computing time and memory usage, FImpute is another alternative method.