Method

SNP-based quantitative deconvolution of biological mixtures: application to the detection of cows with subclinical mastitis by whole-genome sequencing of tank milk

    • 1Genomics Platform, GIGA Institute, University of Liège;
    • 2Unit of Animal Genomics, GIGA Institute & Faculty of Veterinary Medicine, University of Liège, 4000 Liège, Belgium
Published June 26, 2020. Vol 30 Issue 8, pp. 1201-1207. https://doi.org/10.1101/gr.256172.119
Download PDF Please log-in to or register for your personal account in order to access PDF Cite Article Permissions Share
cover of Genome Research Vol 36 Issue 4
Current Issue:

Abstract

Biological products of importance in food (e.g., milk) and medical (e.g., donor blood-derived products) sciences often correspond to mixtures of samples contributed by multiple individuals. Identifying which individuals contributed to the mixture and in what proportions may be of interest in several circumstances. We herein present a method that allows to do this by shallow whole-genome sequencing of the DNA in mixed samples from hundreds of donors. We show the efficacy of the approach for the detection of cows with subclinical mastitis by analysis of farms’ tank mixtures containing milk from as many as 500 cows.

Loading
Loading
Back to top