GWASRegulatory pathwaysFeed efficiency (FE) related traits play a key role in the economy and sustainability of beef cattle production systems. The accurate knowledge of the physiologic background for FE-related traits can help the development of more efficient selection strategies for them. Hence, ...
Many human anthropometric traits are highly heritable. Twin studies have estimated that genetic factors contribute to 40–80% of the observed variability of body mass index (BMI)1,2,3,4,5and up to 80% of height6,7. Findings from the largest genome-wide association studies (GWAS) on BMI8a...
Results: To maximise the power to identify quantitative trait loci (QTL), we combined the results of nine within-population GWAS that used imputed sequence variant genotypes of 94,321 cattle from eight breeds, to perform a large-scale meta-analysis for fat and protein percentage in cattle. The...
A promising approach to mitigate its negative effects is to genetically improve the resistance of dairy cattle to mastitis. A meta-analysis of genome-wide association studies (GWAS) across multiple breeds for clinical mastitis (CM) and its indicator trait, somatic cell score (SCS), is a ...
•Meta-assemblies combined multiple QTL/GWAS studies for female fertility in cattle.•Despite low heritability, multiple genomic regions were found for fertility traits.•QTL and GWAS meta-assemblies provided strong support for positional candidate genes.•A...
Additionally, pathway analysis is a powerful tool that complements GWASes, as it enables identification of gene sets involved in the same pathway that explain the studied phenotype. Because there are no reports on GWAS pathways鈥恇ased meta鈥恆nalyses for RFI in beef cattle, we used several ...
Cattle GWAS have identified many associated genomic regions. With increasing numbers of cattle sequenced, fine-mapping of causal variants is becoming possible. Here we imputed selected sequence variants to 27,214 Holstein bulls that have highly reliable phenotypes for 35 production, reproduction, and ...
This integration of gene expression and GWAS data provides an additional understanding of the genetic background of NEB and subclinical and clinical ketosis in dairy cattle. Thus, it is a useful approach to identify biological mechanisms underlying these metabolic conditions in dairy cattle....