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

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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Bibliographic Details
Main Authors: Esperanza Shenstone, Julian Cooper, Brian Rice, Martin Bohn, Tiffany M Jamann, Alexander E Lipka
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC6248992?pdf=render

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