Cargando…
Genome-Wide Association Studies with a Genomic Relationship Matrix: A Case Study with Wheat and Arabidopsis
Standard genome-wide association studies (GWAS) scan for relationships between each of p molecular markers and a continuously distributed target trait. Typically, a marker-based matrix of genomic similarities among individuals (G) is constructed, to account more properly for the covariance structure...
Autores principales: | Gianola, Daniel, Fariello, Maria I., Naya, Hugo, Schön, Chris-Carolin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5068945/ https://www.ncbi.nlm.nih.gov/pubmed/27520956 http://dx.doi.org/10.1534/g3.116.034256 |
Ejemplares similares
-
Bayesian Networks Illustrate Genomic and Residual Trait Connections in Maize (Zea mays L.)
por: Töpner, Katrin, et al.
Publicado: (2017) -
Prediction of Complex Traits: Robust Alternatives to Best Linear Unbiased Prediction
por: Gianola, Daniel, et al.
Publicado: (2018) -
Cross-Validation Without Doing Cross-Validation in Genome-Enabled Prediction
por: Gianola, Daniel, et al.
Publicado: (2016) -
Comparison Between Linear and Non-parametric Regression Models for Genome-Enabled Prediction in Wheat
por: Pérez-Rodríguez, Paulino, et al.
Publicado: (2012) -
Enhancing Genome-Enabled Prediction by Bagging Genomic BLUP
por: Gianola, Daniel, et al.
Publicado: (2014)