Genomic Prediction Using Multi-trait Weighted GBLUP Accounting for Heterogeneous Variances and Covariances Across the Genome

Implicit assumption of common (co)variance for all loci in multi-trait Genomic Best Linear Unbiased Prediction (GBLUP) results in a genomic relationship matrix (G) that is common to all traits. When this assumption is violated, Bayesian whole genome regression methods may be superior to GBLUP by acc...

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Detalles Bibliográficos
Autores principales: Karaman, Emre, Lund, Mogens S., Anche, Mahlet T., Janss, Luc, Su, Guosheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2018
Materias:
Genomic Prediction
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6222589/
https://www.ncbi.nlm.nih.gov/pubmed/30194089
http://dx.doi.org/10.1534/g3.118.200673

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6222589/
https://www.ncbi.nlm.nih.gov/pubmed/30194089
http://dx.doi.org/10.1534/g3.118.200673

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