Expanding the BLUP alphabet for genomic prediction adaptable to the genetic architectures of complex traits

Improvement of statistical methods is crucial for realizing the potential of increasingly dense genetic markers. Bayesian methods treat all markers as random effects, exhibit an advantage on dense markers, and offer the flexibility of using different priors. In contrast, genomic best linear unbiased...

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Detalles Bibliográficos
Autores principales: Wang, Jiabo, Zhou, Zhengkui, Zhang, Zhe, Li, Hui, Liu, Di, Zhang, Qin, Bradbury, Peter J., Buckler, Edward S., Zhang, Zhiwu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6221880/
https://www.ncbi.nlm.nih.gov/pubmed/29765161
http://dx.doi.org/10.1038/s41437-018-0075-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6221880/
https://www.ncbi.nlm.nih.gov/pubmed/29765161
http://dx.doi.org/10.1038/s41437-018-0075-0

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