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

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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Bibliographic Details
Main Authors: Emre Karaman, Mogens S. Lund, Mahlet T. Anche, Luc Janss, Guosheng Su
Format: Article
Language:English
Published: Oxford University Press 2018-11-01
Series:G3: Genes, Genomes, Genetics
Subjects:
Genomic prediction
GenPred
Shared Data Resources
Genetic architecture
Genomic relationship matrix
Region size
SNP weight
Online Access:http://g3journal.org/lookup/doi/10.1534/g3.118.200673

Internet

http://g3journal.org/lookup/doi/10.1534/g3.118.200673

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