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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...
Tallennettuna:
| Julkaisussa: | G3 (Bethesda) |
|---|---|
| Päätekijät: | , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Genetics Society of America
2020
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7718731/ https://ncbi.nlm.nih.gov/pubmed/33020191 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1534/g3.120.401618 |
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