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
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7429790/
https://www.ncbi.nlm.nih.gov/pubmed/32799816
http://dx.doi.org/10.1186/s12711-020-00568-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7429790/
https://www.ncbi.nlm.nih.gov/pubmed/32799816
http://dx.doi.org/10.1186/s12711-020-00568-0

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