Weighted single-step genomic best linear unbiased prediction integrating variants selected from sequencing data by association and bioinformatics analyses

BACKGROUND: Sequencing data enable the detection of causal loci or single nucleotide polymorphisms (SNPs) highly linked to causal loci to improve genomic prediction. However, until now, studies on integrating such SNPs using a single-step genomic best linear unbiased prediction (ssGBLUP) model are s...

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Detalles Bibliográficos
Publicado en:Genet Sel Evol
Main Authors: Liu, Aoxing, Lund, Mogens Sandø, Boichard, Didier, Karaman, Emre, Guldbrandtsen, Bernt, Fritz, Sebastien, Aamand, Gert Pedersen, Nielsen, Ulrik Sander, Sahana, Goutam, Wang, Yachun, Su, Guosheng
Formato: Artigo
Idioma:Inglês
Publicado: BioMed Central 2020
Assuntos:
Research Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC7429790/
https://ncbi.nlm.nih.gov/pubmed/32799816
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12711-020-00568-0
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