mrMLM: 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.

Install the latest version of this package by entering the following in R:
install.packages("mrMLM")
AuthorWenlong Ren,Yuanli Ni,Shibo Wang,Yangjun Wen,Bo Huang and Yuanming Zhang
Date of publication2017-02-09 07:02:00
MaintainerYuanming Zhang<soyzhang@mail.hzau.edu.cn>
LicenseGPL (>= 2)
Version2.1

View on CRAN

Files

inst
inst/extdata
inst/extdata/GWAS_mrMLM_Numeric_Genotype.csv
inst/extdata/GCIM_Genotype_Format.csv
inst/extdata/GWAS_Population_Structure.csv
inst/extdata/WheatDH_QTLIciMapping_Format.xlsx
inst/extdata/GWAS_Phenotype.csv
inst/extdata/GWAS_Kinship.csv
inst/extdata/GCIM_Cov.csv
inst/extdata/GWAS_Hapmap_Genotype.csv
inst/extdata/env1-jun3_WinQTLCart_Format.mcd
inst/extdata/GWAS_FASTmrEMMA_Numeric_Genotype.csv
inst/extdata/GCIM_Linkage_Map_Format.csv
inst/extdata/GWAS_mrMLM_Character_Genotype.csv
inst/extdata/GCIM_Penotype_Format.csv
inst/doc
inst/doc/Instruction.pdf
NAMESPACE
R
R/mrMLM.R R/zzz.R
MD5
DESCRIPTION
man
man/mrMLM-package.Rd

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