ArticleGenetics, selection, evolution : GSE2017
Within-breed and multi-breed GWAS on imputed whole-genome sequence variants reveal candidate mutations affecting milk protein composition in dairy cattle.
Article in Genetics, selection, evolution : GSE, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 4 of them syntheses that pooled it.
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Who cites it
73 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Integrated genome-wide association studies, meta-analysis, and Bayesian fine mapping reveal novel quantitative trait loci's and functional candidate genes for vulva traits in large white pigs.Journal of animal science · 2025Pooled it
- Sequence-based GWAS meta-analyses for beef production traits.Genetics, selection, evolution : GSE · 2023Pooled it
- X-linked genes influence various complex traits in dairy cattle.BMC genomics · 2023Pooled 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
- Assessing the genetic potential of a milk mid-infrared prediction of heat stress response in dairy cows using a temperature-humidity index-independent approach.JDS communications · 2026Article
- Comparison between SNP array and imputed data to estimate population structure and ROH hotspots in horse breeds.BMC genomics · 2025Article
- Application of a French cattle pangenome, from structural variant discovery to association studies on key phenotypes.Genetics, selection, evolution : GSE · 2025Article
- Sequence-based GWAS reveals genes and variants associated with predicted methane emissions in French dairy cows.Genetics, selection, evolution : GSE · 2025Article
- Genetic Diversity, Admixture, and Selection Signatures in a Rarámuri Criollo Cattle Population Introduced to the Southwestern United States.International journal of molecular sciences · 2025Article
- Genetic advancements and future directions in ruminant livestock breeding: from reference genomes to multiomics innovations.Science China. Life sciences · 2025Review
- Whole-genome sequencing reveals genetic architecture and selection signatures of Kazakh cattle.Zoological research · 2025Article
- Multiple strategies association revealed functional candidate FASN gene for fatty acid composition in cattle.Communications biology · 2025Article
- Identification of the BovineAnimals : an open access journal from MDPI · 2025Article
- Empirical versus estimated accuracy of imputation: optimising filtering thresholds for sequence imputation.Genetics, selection, evolution : GSE · 2024Article
- Re-sequencing of the casein genes in Swedish Red cattle giving milk with diverse protein profiles and extreme rennet coagulation properties.JDS communications · 2024Article
- Genomic regions, candidate genes, and pleiotropic variants associated with physiological and anatomical indicators of heat stress response in lactating sows.BMC genomics · 2024Article
- Genetic legacy and adaptive signatures: investigating the history, diversity, and selection signatures in Rendena cattle resilient to eighteenth century rinderpest epidemics.Genetics, selection, evolution : GSE · 2024Article
- A common regulatory haplotype doubles lactoferrin concentration in milk.Genetics, selection, evolution : GSE · 2024Article
- Pangenome-genotyped structural variation improves molecular phenotype mapping in cattle.Genome research · 2024Article
- Increased Accuracy of Genomic Prediction Using Preselected SNPs from GWAS with Imputed Whole-Genome Sequence Data in Pigs.Animals : an open access journal from MDPI · 2023Article
13 more citing papers are in PubMed but not listed here.
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13 authors.
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Abstract
backgroundGenome-wide association studies (GWAS) were performed at the sequence level to identify candidate mutations that affect the expression of six major milk proteins in Montbéliarde (MON), Normande (NOR), and Holstein (HOL) dairy cattle. Whey protein (α-lactalbumin and β-lactoglobulin) and casein (αs1, αs2, β, and κ) contents were estimated by mid-infrared (MIR) spectrometry, with medium to high accuracy (0.59 ≤ R
resultsThirty-four distinct genomic regions were identified. Three regions on chromosomes 6, 11, and 20 had very significant effects on milk composition and were shared across the three breeds. Other significant effects, which partially overlapped across breeds, were found on almost all the autosomes. Multi-breed analyses provided a larger number of significant genomic regions with smaller confidence intervals than within-breed analyses. Combinations of within-breed, multi-breed, and conditional analyses led to the identification of putative causative variants in several candidate genes that presented significant protein-protein interactions enrichment, including those with previously described effects on milk composition (SLC37A1, MGST1, ABCG2, CSN1S1, CSN2, CSN1S2, CSN3, PAEP, DGAT1, AGPAT6) and those with effects reported for the first time here (ALPL, ANKH, PICALM).
conclusionsGWAS applied to fine-scale phenotypes, multiple breeds, and whole-genome sequences seems to be effective to identify candidate gene variants. However, although we identified functional links between some candidate genes and milk phenotypes, the causality between candidate variants and milk protein composition remains to be demonstrated. Nevertheless, the identification of potential causative mutations that underlie milk protein composition may have immediate applications for improvements in cheese-making.
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