Multi-trait single-step genomic prediction accounting for heterogeneous (co)variances over the genome

Widely used genomic prediction models may not properly account for heterogeneous (co)variance structure across the genome. Models such as BayesA and BayesB assume locus-specific variance, which are highly influenced by the prior for (co)variance of single nucleotide polymorphism (SNP) effect, regard...

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Detalles Bibliográficos
Autores principales: Karaman, Emre, Lund, Mogens S., Su, Guosheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6972913/
https://www.ncbi.nlm.nih.gov/pubmed/31641237
http://dx.doi.org/10.1038/s41437-019-0273-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6972913/
https://www.ncbi.nlm.nih.gov/pubmed/31641237
http://dx.doi.org/10.1038/s41437-019-0273-4

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