ArticleMammalian genome : official journal of the International Mammalian Genome Society2016
Targeted imputation of sequence variants and gene expression profiling identifies twelve candidate genes associated with lactation volume, composition and calving interval in dairy cattle.
Article in Mammalian genome : official journal of the International Mammalian Genome Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.
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Who cites it
37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 76 citations in OpenAlex.
- GWAS and genomic prediction of milk urea nitrogen in Australian and New Zealand dairy cattle.Genetics, selection, evolution : GSE · 2022Pooled it
- Meta-analysis for milk fat and protein percentage using imputed sequence variant genotypes in 94,321 cattle from eight cattle breeds.Genetics, selection, evolution : GSE · 2020Pooled it
- Integrated Single-Nucleus Multi-Omics Atlases Reveal Lineage Plasticity and Regulatory Networks of Luminal Epithelial Cells During Mammary Gland Lactation and Involution.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Causal variants in animal genomes: approaches to identification, phenotypic impact, and implications for selective breeding.BMC genomics · 2026Review
- Time-resolved transcriptomic profiling of mammary gland tissue during ductal morphogenesis, lactation activation, and involution in sows.Animal bioscience · 2026Article
- Integrative analysis of GWAS, Bayesian fine-mapping, Mendelian randomization and colocalization reveals genetic determinants underlying milk-related traits in dairy cattle.Genetics, selection, evolution : GSE · 2026Article
- Single-step genome-wide association study of milk somatic cell scores across multi-cattle breeds in Ethiopia.Animal biotechnology · 2025Article
- Sequence-based GWAS in 180,000 German Holstein cattle reveals new candidate variants for milk production traits.Genetics, selection, evolution : GSE · 2025Article
- Identification of eQTLs using different sets of single nucleotide polymorphisms associated with carcass and body composition traits in pigs.BMC genomics · 2024Article
- Genomic and Phenotypic Udder Evaluation for Dairy Cattle Selection: A Review.Animals : an open access journal from MDPI · 2023Review
- Using QTL to Identify Genes and Pathways Underlying the Regulation and Production of Milk Components in Cattle.Animals : an open access journal from MDPI · 2023Review
- Genetic variation in histone modifications and gene expression identifies regulatory variants in the mammary gland of cattle.BMC genomics · 2022Article
- Effect of leptin on the growth and expression of STAT3 in yak mammary epithelial cells.Veterinary world · 2022Article
- Genetic variants associated with two major bovine milk fatty acids offer opportunities to breed for altered milk fat composition.Genetics, selection, evolution : GSE · 2022Article
- Using mid-infrared spectroscopy to increase GWAS power to detect QTL associated with blood urea nitrogen.Genetics, selection, evolution : GSE · 2022Article
- Non-additive QTL mapping of lactation traits in 124,000 cattle reveals novel recessive loci.Genetics, selection, evolution : GSE · 2022Article
- Identification of mutations in porcineFrontiers in veterinary science · 2022Article
- Article
- Sequence-based genome-wide association study of individual milk mid-infrared wavenumbers in mixed-breed dairy cattle.Genetics, selection, evolution : GSE · 2021Article
- Confirmed effects of candidate variants for milk production, udder health, and udder morphology in dairy cattle.Genetics, selection, evolution : GSE · 2020Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dairy cattle are an interesting model for gaining insights into the genes responsible for the large variation between and within mammalian species in the protein and fat content of their milk and their milk volume. Large numbers of phenotypes for these traits are available, as well as full genome sequence of key founders of modern dairy cattle populations. In twenty target QTL regions affecting milk production traits, we imputed full genome sequence variant genotypes into a population of 16,721 Holstein and Jersey cattle with excellent phenotypes. Association testing was used to identify variants within each target region, and gene expression data were used to identify possible gene candidates. There was statistical support for imputed sequence variants in or close to BTRC, MGST1, SLC37A1, STAT5A, STAT5B, PAEP, VDR, CSF2RB, MUC1, NCF4, and GHDC associated with milk production, and EPGN for calving interval. Of these candidates, analysis of RNA-Seq data demonstrated that PAEP, VDR, SLC37A1, GHDC, MUC1, CSF2RB, and STAT5A were highly differentially expressed in mammary gland compared to 15 other tissues. For nine of the other target regions, the most significant variants were in non-coding DNA. Genomic predictions in a third dairy breed (Australian Reds) using sequence variants in only these candidate genes were for some traits more accurate than genomic predictions from 632,003 common SNP on the Bovine HD array. The genes identified in this study are interesting candidates for improving milk production in cattle and could be investigated for novel biological mechanisms driving lactation traits in other mammals.
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