PSIV-B-20 Genome-Wide Association Analyses Revealed Potential Molecular Mechanisms Affecting Milk Fever in Dairy Cattle

Using Genome-Wide Association Analysis to Characterize Environmental Sensitivity of Milk Traits in Dairy Cattle

Genotype-by-environment interaction (GxE) has been widely reported in dairy cattle. One way to analyze GxE is to apply reaction norm models. The first derivative of a reaction norm is the environmental sensitivity (ES). In the present study we conducted a large-scale, genome-wide association analysis to identify single-nucleotide polymorphisms (SNPs) that affect general production (GP) and ES o...

Population Level Genome-wide Association Studies in Dairy Cattle

estimation of population stratification in crossbred and inbred dairy cattle using genome wide association by simulation

introduction: domestic animals are invaluable resources to study the molecular architecture of complex traits. although the mapping of quantitative trait loci (qtl) underlying economically important traits in domestic animals has achieved remarkable results in recent decades, not all of the genetic variation in the complex traits has been captured due to the low density of markers used in qtl m...

A Genome-wide Association Study of Non-additive Effects for Milk Yield and Fertility in Holstein and Jersey Dairy Cattle

It has been suggested that traits associated with fitness, such as fertility, may have proportionately more genetic variation arising from non-additive effects than traits with higher heritability, such as milk yield. Here, we performed a large genome scan with 408,255 single nucleotide polymorphism (SNP) markers to identify chromosomal regions associated with dominance and epistatic (pairwise ...

determination of the impact of some factors on genotype imputation error rates for genome wide association studies in dairy cattle

in this study, effect of two genotype imputation strategies, relatedness between reference panel and test populations and minor allele frequency on imputation error rate were examined with using a stochastic simulated population. reference panel and test populations were composed of 1,000 and 500 individuals, respectively. individuals in the reference panel were genotyped with using a high and ...