Description Details References
Pipeline for GWAS using Multi Locus Mixed Model (MLMM).
This is a fork of the MLMM / MultLocMixMod package by Vincent Segura and Bjarni J. Vilhjalmsson.
The main differencies from the original package are:
abandon of the multi-Bonferroni model selection
abandon of the backward model search
eBIC modified to be adapted to the rate between number of individuals and number of markers.
function added to select significant SNP according to a p-value threshold at each mlmm step
new models supported: additive+dominance, male+female and male+female+interaction. These models are described in Bonnafous et al. (2017).
graphical functions: a new Manhattan plot and a boxplot representation of markers effects.
A vignette presents the usage of this package with the additive model.
Bonnafous, F., Fievet, G., Blanchet, N. et al. Theor Appl Genet (2018) 131: 319.
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