A Multiple-Trait Bayesian Variable Selection Regression Method for Integrating Phenotypic Causal Networks in Genome-Wide Association Studies

Bayesian regression methods that incorporate different mixture priors for marker effects are used in multi-trait genomic prediction. These methods can also be extended to genome-wide association studies (GWAS). In multiple-trait GWAS, incorporating the underlying causal structures among traits is es...

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Detalles Bibliográficos
Autores principales: Wang, Zigui, Chapman, Deborah, Morota, Gota, Cheng, Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2020
Materias:
Genomic Prediction
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7718731/
https://www.ncbi.nlm.nih.gov/pubmed/33020191
http://dx.doi.org/10.1534/g3.120.401618

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7718731/
https://www.ncbi.nlm.nih.gov/pubmed/33020191
http://dx.doi.org/10.1534/g3.120.401618

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