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Article

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

Heredity - 1 Feb 2020

Karaman Emre, Lund Mogens S, Su Guosheng

Abstract excerpt

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, regardless of the size of data. Models such as BayesC or GBLUP assume a common (co)variance for a proportion (BayesC) or...

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Identifiers

PMID: 31641237
DOI: 10.1038/s41437-019-0273-4
PMCID: PMC6972913

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