Pipeline for GWAS Using MLMM
Compute eBIC and BIC criteria
Compute estimated effects
Helper function that create the selec_XXclass argument of the Estimati...
Helper that create the selec_XX argument of eBIC_allmodels()
Boxplots representation of the distributions of phenotypes according t...
Manhattan plot
mlmm.gwas
Multi-Locus Mixed-Model
MLMM, model selection and effects estimation
Select significant marker thanks to a p-value threshold
Pipeline for Genome-Wide Association Study using Multi-Locus Mixed Model from Segura V, Vilhjálmsson BJ et al. (2012) <doi:10.1038/ng.2314>. The pipeline include detection of associated SNPs with MLMM, model selection by lowest eBIC and p-value threshold, estimation of the effects of the SNPs in the selected model and graphical functions.