Cargando…
Sequence variants selected from a multi-breed GWAS can improve the reliability of genomic predictions in dairy cattle
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 know...
Autores principales: | van den Berg, Irene, Boichard, Didier, Lund, Mogens S. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5095991/ https://www.ncbi.nlm.nih.gov/pubmed/27809758 http://dx.doi.org/10.1186/s12711-016-0259-0 |
Ejemplares similares
-
Using Sequence Variants in Linkage Disequilibrium with Causative Mutations to Improve Across-Breed Prediction in Dairy Cattle: A Simulation Study
por: van den Berg, Irene, et al.
Publicado: (2016) -
Within-breed and multi-breed GWAS on imputed whole-genome sequence variants reveal candidate mutations affecting milk protein composition in dairy cattle
por: Sanchez, Marie-Pierre, et al.
Publicado: (2017) -
Concordance analysis for QTL detection in dairy cattle: a case study of leg morphology
por: van den Berg, Irene, et al.
Publicado: (2014) -
A system-based analysis of the genetic determinism of udder conformation and health phenotypes across three French dairy cattle breeds
por: Marete, Andrew, et al.
Publicado: (2018) -
A Meta-Analysis Including Pre-selected Sequence Variants Associated With Seven Traits in Three French Dairy Cattle Populations
por: Marete, Andrew G., et al.
Publicado: (2018)