Evaluation of genomic selection models using whole genome sequence data and functional annotation in Belgian Blue cattle

GS with large panels of functional variants selected from WGS data allowed a significant increase in reliability compared to the official genomic evaluation approach. However, the benefits of using WGS and functional data remained modest, indicating that there is still room for improvement, for example by further refining the functional annotation in the BBC breed.

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Publication Details

Journal
Genetics Selection Evolution
Published
2025-03-04
DOI
https://doi.org/10.1186/s12711-025-00955-5
Citations
4
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
Field-Weighted Citation Impact
7.27

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article

Evaluation of genomic selection models using whole genome sequence data and functional annotation in Belgian Blue cattle

Tom Druet, Michel Georges, Haruko Takeda, José Luis Gualdrón Duarte et al.
4 citations
Genetics Selection Evolution
Genetic and phenotypic traits in livestock
7.27
article

Evaluation of genomic selection models using whole genome sequence data and functional annotation in Belgian Blue cattle

Tom Druet, Michel Georges, Haruko Takeda, José Luis Gualdrón Duarte, Wouter Coppieters, Alain Gillon, Can Yuan
article en
4 citations

Abstract

GS with large panels of functional variants selected from WGS data allowed a significant increase in reliability compared to the official genomic evaluation approach. However, the benefits of using WGS and functional data remained modest, indicating that there is still room for improvement, for example by further refining the functional annotation in the BBC breed.

Genetics Selection EvolutionVol. 57(1)
University of Liège (BE), Agence Wallonne du Patrimoine (BE)
Fonds De La Recherche Scientifique - FNRS, Fédération Wallonie-Bruxelles
Openalex Percentile: Top 4%
Genetic and phenotypic traits in livestock
7.27
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