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Application of a Bayesian dominance model improves power in quantitative trait genome-wide association analysis
BACKGROUND: Multi-marker methods, which fit all markers simultaneously, were originally tailored for genomic selection purposes, but have proven to be useful also in association analyses, especially the so-called BayesC Bayesian methods. In a recent study, BayesD extended BayesC towards accounting f...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5237573/ https://www.ncbi.nlm.nih.gov/pubmed/28088170 http://dx.doi.org/10.1186/s12711-017-0284-7 |