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Article

Modeling heterogeneous (co)variances from adjacent-SNP groups improves genomic prediction for milk protein composition traits.

Genetics, selection, evolution : GSE - 5 Dec 2017

Gebreyesus Grum, Lund Mogens S, Buitenhuis Bart, Bovenhuis Henk, Poulsen Nina A, Janss Luc G

Abstract excerpt

BACKGROUND: Accurate genomic prediction requires a large reference population, which is problematic for traits that are expensive to measure. Traits related to milk protein composition are not routinely recorded due to costly procedures and are considered to be controlled by a few quantitative trait loci of large effect. The amount of variation explained may vary between regions leading to heterogeneous...

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Identifiers

PMID: 29207947
DOI: 10.1186/s12711-017-0364-8
PMCID: PMC5718071

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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