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Genome-wide association and biological pathway analysis for milk-fat composition in Danish Holstein and Danish Jersey cattle

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Authors:
  • Buitenhuis, Bart ;
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    Orcid logo0000-0002-4953-3081
    Department of Molecular Biology and Genetics - Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Science and Technology, Aarhus University
  • Janss, Luc L G ;
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    Department of Molecular Biology and Genetics - Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Science and Technology, Aarhus University
  • Poulsen, Nina Aagaard ;
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    Orcid logo0000-0001-9983-9663
    Department of Food Science - Food Chemistry and Technology, Department of Food Science, Science and Technology, Aarhus University
  • Larsen, Lotte Bach ;
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    Orcid logo0000-0001-9674-0107
    Department of Food Science - Food Chemistry and Technology, Department of Food Science, Science and Technology, Aarhus University
  • Larsen, Mette Krogh ;
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    unknown
  • Sørensen, Peter
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    Department of Molecular Biology and Genetics - Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Science and Technology, Aarhus University
DOI:
10.1186/1471-2164-15-1112
Abstract:
The milk fat profile of the Danish Holstein (DH) and Danish Jersey (DJ) show clear differences. Identification of the genomic regions, genes and biological pathways underlying the milk fat biosynthesis will improve the understanding of the biology underlying bovine milk fat production and may provide new possibilities to change the milk fat composition by selective breeding. In this study a genome wide association scan (GWAS) in the DH and DJ was performed for a detailed milk fatty acid (FA) profile using the HD bovine SNP array and subsequently a biological pathway analysis based on the SNP data was performed
Type:
Journal article
Language:
English
Published in:
B M C Genomics, 2014, Vol 15, Issue 1112, p. 1-11
Main Research Area:
Science/technology
Publication Status:
Published
Review type:
Peer Review
Submission year:
2014
Scientific Level:
Scientific
ID:
273383916

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