ArticleGenetics, selection, evolution : GSE2017
Genome-wide association mapping for milk fat composition and fine mapping of a QTL for de novo synthesis of milk fatty acids on bovine chromosome 13.
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 15 papers.
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15 citing papers in PubMed, 28 citations in OpenAlex.
- Integration of GWAS and eQTL analysis reveals regulatory CNVs for fatty acid traits in cattle.iScience · 2026Article
- Haplotype-Resolved Genome Assemblies for Norwegian Red Cattle.Animal genetics · 2026Article
- Functional analysis and identification of miRNAs associated with lipid metabolism from milk-derived exosomes.Journal of animal science and biotechnology · 2026Article
- Genetic and Functional Dissection of the NFKB2 Gene: Implications for Milk Fatty Acid Biosynthesis in Dairy Cattle.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025Article
- Article
- Association of NCOA6 Gene Polymorphism with Milk Production Traits in Chinese Holstein Cows.Animals : an open access journal from MDPI · 2025Article
- Genomic prediction and genetic parameter estimation for unsaturated and saturated fatty acids in Canadian dairy cattle.Scientific reports · 2025Article
- AMP-activated protein kinase mediates (-)-epigallocatechin-3-gallate (EGCG) to promote lipid synthesis in mastitis cows.Animal biotechnology · 2024Article
- The Genetic Characteristics of FT-MIRS-Predicted Milk Fatty Acids in Chinese Holstein Cows.Animals : an open access journal from MDPI · 2024Article
- Article
- Genetic variants associated with two major bovine milk fatty acids offer opportunities to breed for altered milk fat composition.Genetics, selection, evolution : GSE · 2022Article
- A post-GWAS confirming effects of PRKG1 gene on milk fatty acids in a Chinese Holstein dairy population.BMC genetics · 2019Article
- Multi-population GWAS and enrichment analyses reveal novel genomic regions and promising candidate genes underlying bovine milk fatty acid composition.BMC genomics · 2019Article
- Integrated PTR-ToF-MS, GWAS and biological pathway analyses reveal the contribution of cow's genome to cheese volatilome.Scientific reports · 2018Article
- Unravelling genetic variation underlying de novo-synthesis of bovine milk fatty acids.Scientific reports · 2018Article
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Authors and funding
12 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBovine milk is widely regarded as a nutritious food source for humans, although the effects of individual fatty acids on human health is a subject of debate. Based on the assumption that genomic selection offers potential to improve milk fat composition, there is strong interest to understand more about the genetic factors that influence the biosynthesis of bovine milk and the molecular mechanisms that regulate milk fat synthesis and secretion. For this reason, the work reported here aimed at identifying genetic variants that affect milk fatty acid composition in Norwegian Red cattle. Milk fatty acid composition was predicted from the nation-wide recording scheme using Fourier transform infrared spectroscopy data and applied to estimate heritabilities for 36 individual and combined fatty acid traits. The recordings were used to generate daughter yield deviations that were first applied in a genome-wide association (GWAS) study with 17,343 markers to identify quantitative trait loci (QTL) affecting fatty acid composition, and next on high-density and sequence-level datasets to fine-map the most significant QTL on BTA13 (BTA for Bos taurus chromosome).
resultsThe initial GWAS revealed 200 significant associations, with the strongest signals on BTA1, 13 and 15. The BTA13 QTL highlighted a strong functional candidate gene for de novo synthesis of short- and medium-chained saturated fatty acids; acyl-CoA synthetase short-chain family member 2. However, subsequent fine-mapping using single nucleotide polymorphisms (SNPs) from a high-density chip and variants detected by resequencing showed that the effect was more likely caused by a second nearby gene; nuclear receptor coactivator 6 (NCOA6). These findings were confirmed with results from haplotype studies. NCOA6 is a nuclear receptor that interacts with transcription factors such as PPARγ, which is a major regulator of bovine milk fat synthesis.
conclusionsAn initial GWAS revealed a highly significant QTL for de novo-synthesized fatty acids on BTA13 and was followed by fine-mapping of the QTL within NCOA6. The most significant SNPs were either synonymous or situated in introns; more research is needed to uncover the underlying causal DNA variation(s).
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