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Article

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

G3 (Bethesda, Md.) - 6 Nov 2018

Karaman Emre, Lund Mogens S, Anche Mahlet T, Janss Luc, Su Guosheng

Abstract excerpt

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 accounting for unequal (co)variance for all loci or genome regions. This study aimed to develop a strategy to improve...

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Identifiers

PMID: 30194089
DOI: 10.1534/g3.118.200673
PMCID: PMC6222589

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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