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Sequence variants selected from a multi-breed GWAS can improve the reliability of genomic predictions in dairy cattle.

Genetics, selection, evolution : GSE - 4 Nov 2016

van den Berg Irene, Boichard Didier, Lund Mogens S

Abstract excerpt

BACKGROUND: Sequence data can potentially increase the reliability of genomic predictions, because such data include causative mutations instead of relying on linkage disequilibrium (LD) between causative mutations and prediction variants. However, the location of the causative mutations is not known, and the presence of many variants that are in low LD with the causative mutations may reduce prediction...

Topics

Animals
Breeding
Cattle
Female
Genetic Variation
Genome-Wide Association Study
Genomics
Milk
Models, Genetic
Quantitative Trait Loci

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 27809758
DOI: 10.1186/s12711-016-0259-0
PMCID: PMC5095991

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