An assessment of the performance of the logistic mixed model for analyzing binary traits in maize and sorghum diversity panels

The logistic mixed model (LMM) is well-suited for the genome-wide association study (GWAS) of binary agronomic traits because it can include fixed and random effects that account for spurious associations. The recent implementation of a computationally efficient model fitting and testing approach no...

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Detalles Bibliográficos
Autores principales: Shenstone, Esperanza, Cooper, Julian, Rice, Brian, Bohn, Martin, Jamann, Tiffany M., Lipka, Alexander E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6248992/
https://www.ncbi.nlm.nih.gov/pubmed/30462727
http://dx.doi.org/10.1371/journal.pone.0207752

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6248992/
https://www.ncbi.nlm.nih.gov/pubmed/30462727
http://dx.doi.org/10.1371/journal.pone.0207752

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