A nested mixture model for genomic prediction using whole-genome SNP genotypes

Genomic prediction exploits single nucleotide polymorphisms (SNPs) across the whole genome for predicting genetic merit of selection candidates. In most models for genomic prediction, e.g. BayesA, B, C, R and GBLUP, independence of SNP effects is assumed. However, SNP effects are expected to be loca...

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Detalles Bibliográficos
Autores principales: Zeng, Jian, Garrick, Dorian, Dekkers, Jack, Fernando, Rohan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5862491/
https://www.ncbi.nlm.nih.gov/pubmed/29561877
http://dx.doi.org/10.1371/journal.pone.0194683

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5862491/
https://www.ncbi.nlm.nih.gov/pubmed/29561877
http://dx.doi.org/10.1371/journal.pone.0194683

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