Comparison of F-tests for Univariate and Multivariate Mixed-Effect Models in Genome-Wide Association Mapping

Genome-wide association mapping (GWA) has been widely applied to a variety of species to identify genomic regions responsible for quantitative traits. The use of multivariate information could enhance the detection power of GWA. Although mixed-effect models are frequently used for GWA, the utility o...

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Detalles Bibliográficos
Autor principal: Onogi, Akio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6369166/
https://www.ncbi.nlm.nih.gov/pubmed/30778369
http://dx.doi.org/10.3389/fgene.2019.00030

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6369166/
https://www.ncbi.nlm.nih.gov/pubmed/30778369
http://dx.doi.org/10.3389/fgene.2019.00030

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