Cargando…
Joint prediction of multiple quantitative traits using a Bayesian multivariate antedependence model
Predicting organismal phenotypes from genotype data is important for preventive and personalized medicine as well as plant and animal breeding. Although genome-wide association studies (GWAS) for complex traits have discovered a large number of trait- and disease-associated variants, phenotype predi...
Autores principales: | Jiang, J, Zhang, Q, Ma, L, Li, J, Wang, Z, Liu, J-F |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4815501/ https://www.ncbi.nlm.nih.gov/pubmed/25873147 http://dx.doi.org/10.1038/hdy.2015.9 |
Ejemplares similares
-
Antedependence models for longitudinal data
por: Zimmerman, Dale L, et al.
Publicado: (2009) -
Multiple-trait structured antedependence model to study the relationship between litter size and birth weight in pigs and rabbits
por: David, Ingrid, et al.
Publicado: (2017) -
The influence of a first-order antedependence model and hyperparameters in BayesCπ for genomic prediction
por: Li, Xiujin, et al.
Publicado: (2018) -
Longitudinal analysis of direct and indirect effects on average daily gain in rabbits using a structured antedependence model
por: David, Ingrid, et al.
Publicado: (2018) -
Multivariate Bayesian meta-analysis: joint modelling of multiple cancer types using summary statistics
por: Jahan, Farzana, et al.
Publicado: (2020)