A Multiple-trait Bayesian Variable Selection Regression Method for Integrating Phenotypic Causal Networks in Genome-Wide Association Studies
Zigui Wang, Deborah Chapman, Gota Morota, Hao Cheng
This paper introduces SEM-BayesC{Pi}, a multi-trait Bayesian regression method for GWAS that incorporates causal structures, showing improved genotype-phenotype mapping compared to multi-trait BayesC{Pi}.
G3 Genes Genomes Genetics · Oct 5, 2020Peer-reviewedGenomics