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

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...

Full description

Bibliographic Details
Main Authors: Zigui Wang, Deborah Chapman, Gota Morota, Hao Cheng
Format: Article
Language:English
Published: Oxford University Press 2020-12-01
Series:G3: Genes, Genomes, Genetics
Subjects:
structural equation models
bayesian regression
variable selection
gwas
genomic prediction
genpred
shared data resources
Online Access:http://g3journal.org/lookup/doi/10.1534/g3.120.401618

Internet

http://g3journal.org/lookup/doi/10.1534/g3.120.401618

Similar Items