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Article

Using pre-selected variants from large-scale whole-genome sequence data for single-step genomic predictions in pigs.

Genetics, selection, evolution : GSE - 26 Jul 2023

Jang Sungbong, Ros-Freixedes Roger, Hickey John M, Chen Ching-Yi, Holl Justin, Herring William O, Misztal Ignacy, Lourenco Daniela

Abstract excerpt

BACKGROUND: Whole-genome sequence (WGS) data harbor causative variants that may not be present in standard single nucleotide polymorphism (SNP) chip data. The objective of this study was to investigate the impact of using preselected variants from WGS for single-step genomic predictions in maternal and terminal pig lines with up to 1.8k sequenced and 104k sequence imputed animals per line. METHODS: Two maternal...

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Identifiers

PMID: 37495982
DOI: 10.1186/s12711-023-00831-0
PMCID: PMC10373252

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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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