Inbreeding coefficients in dairy cattle are typically estimated by calculating the degree of parental relatedness through use of pedigree data. More recently, genomic data in the form of single nucleotide polymorphisms (SNPs) have been used, which provide increased accuracy in calculating individual inbreeding coefficients. The use of SNPs allows more accurate estimation of the realized proportion of the genome that 2 individuals share, as opposed to using the expected proportion obtained from pedigree information. There has been an increase in the rate of inbreeding over the past few decades, possibly leading to a reduced level of fitness in individuals due to the accumulation of deleterious homozygous alleles. Runs of homozygosity (ROH), or regions of homozygous loci in a genome, occur more often in animals whose ancestors are closely related, where regions of an individual’s genome have inherited identical haplotypes. Length of ROH varies from individual to individual, and has been seen to accumulate in subsequent generations, strongly suggesting an increased level of genomic inbreeding over time. There is a need to assess and implement new tools that use genomic information, such as array and sequence information, to better understand ROH and the underlying mechanics of genomic inbreeding in dairy breeds. Here we will present a comprehensive analysis, with a focus on rate and functional severity of deleterious and neutral variants. Preliminary work using Next-Generation Sequencing data and SNP1101 software to identify ROH in Holsteins will be explored further. Genomic data from the Canadian Dairy Network along with next-generation sequence data made available through the 1,000 Bull Genomes project will be used to identify and visualize ROH in the bovine genome. A comparative analysis of ROH will be conducted among Canadian dairy breeds. The results of this study will help us better understand genotype diversity in Canadian dairy populations.