TY  - JOUR
A1  - Coppieters, Wouter
A1  - Karim, Latifa
A1  - Georges, Michel
T1  - SNP-based quantitative deconvolution of biological mixtures: application to the detection of cows with subclinical mastitis by whole-genome sequencing of tank milk
Y1  - 2020/08/01 
JF  - Genome Research 
JO  - Genome Research 
SP  - 1201 
EP  - 1207 
DO  - 10.1101/gr.256172.119 
VL  - 30 
IS  - 8 
UR  - http://genome.cshlp.org/content/30/8/1201.abstract 
N2  - 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. 
ER  -