Multi-Locus Random-SNP-Effect Mixed Linear Model Tools for Genome-Wide Association Study

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


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install.packages("mrMLM")

3.0 by Yuanming Zhang, 3 months ago


Browse source code at https://github.com/cran/mrMLM


Authors: Zhang Ya-Wen, Li Pei, Ren Wen-Long, Ni Yuan-Li, and Zhang Yuan-Ming


Documentation:   PDF Manual  


GPL (>= 2) license


Imports methods, openxlsx, stringr, qqman, ggplot2, lars, ncvreg, coin, sampling

Depends on MASS, data.table, doParallel, foreach


Imported by mrMLM.GUI.


See at CRAN