Incorporating Omics Data in Genomic Prediction.
Metabolomic relationship
Omics-based prediction
Omics-enhanced prediction
Transcriptomic relationship
Journal
Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969
Informations de publication
Date de publication:
2022
2022
Historique:
entrez:
22
4
2022
pubmed:
23
4
2022
medline:
27
4
2022
Statut:
ppublish
Résumé
In this chapter, we discuss the motivation for integrating other types of omics data into genomic prediction methods. We give an overview of literature investigating the performance of omics-enhanced predictions, and highlight potential pitfalls when applying these methods in breeding. We emphasize that the statistical methods available for genomic data can be transferred to the general omics case. However, when using a framework of omic relationship matrices, the standardization of the variables may be more relevant than it is for a genomic relationship matrix based on single-nucleotide polymorphisms.
Identifiants
pubmed: 35451782
doi: 10.1007/978-1-0716-2205-6_12
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
341-357Informations de copyright
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.
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