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Article

Efficient genomic prediction based on whole-genome sequence data using split-and-merge Bayesian variable selection.

Genetics, selection, evolution : GSE - 29 Jun 2016

Calus Mario P L, Bouwman Aniek C, Schrooten Chris, Veerkamp Roel F

Abstract excerpt

BACKGROUND: Use of whole-genome sequence data is expected to increase persistency of genomic prediction across generations and breeds but affects model performance and requires increased computing time. In this study, we investigated whether the split-and-merge Bayesian stochastic search variable selection (BSSVS) model could overcome these issues. BSSVS is performed first on subsets of sequence-based variants...

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PMID: 27357580
DOI: 10.1186/s12711-016-0225-x
PMCID: PMC4926307

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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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