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Article

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

G3 (Bethesda, Md.) - 3 Dec 2020

Wang Zigui, Chapman Deborah, Morota Gota, Cheng Hao

Abstract excerpt

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 essential for comprehensively understanding the relationship between genotypes and traits of interest. Therefore, we...

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PMID: 33020191
DOI: 10.1534/g3.120.401618
PMCID: PMC7718731

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