Multi-Locus Random-SNP-Effect Mixed Linear Model for Genome-Wide Association Studies and Linkage Analyses

Conduct multi-locus GWAS and multi-locus QTL mapping under the framework of random-SNP-effect mixed linear model (mrMLM). First, each position (or marker) on the genome is scanned by mrMLM algorithm. Bonferroni correction is replaced by a less stringent selection criterion for significant test. Then, all the markers (or QTL) that are potentially associated with the trait are included in a multi-locus model, their effects are estimated by empirical Bayes and true QTN or QTL are identified by likelihood ratio test.


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2.1 by Yuanming Zhang, a year ago

Browse source code at

Authors: Wenlong Ren,Yuanli Ni,Shibo Wang,Yangjun Wen,Bo Huang and Yuanming Zhang

Documentation:   PDF Manual  

GPL (>= 2) license

Imports RGtk2, methods, openxlsx, stringr, qqman, ggplot2, lars, ncvreg

Depends on gWidgets, gWidgetsRGtk2, RGtk2Extras, MASS

See at CRAN