mrMLM: Multilocus Random Mixed Linear Model for Genome-Wide Association Study and Linkage Analysis

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Conduct multi-locus random-SNP-effect mixed linear model analysis for genome-wide association study and linkage analysis. First, each position (or marker) on the genome is scanned using random-SNP-effect mixed linear model method. Then, all the markers (or putative QTL) selected from the first step are included in the multi-locus model and their effects are estimated by an EM empirical Bayes method. Bonferroni correction is replaced by a less stringent selection criterion for significance test.

Author
Wenlong Ren,Yuanli Ni Shibo Wang,Bo Huang and Yuanming Zhang
Date of publication
2016-07-16 09:51:38
Maintainer
Yuanming Zhang<soyzhang@mail.hzau.edu.cn>
License
GPL (>= 2)
Version
1.3

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Man pages

mrMLM-package
Multilocus Random Mixed Linear Model for Genome-Wide...

Files in this package

mrMLM
mrMLM/inst
mrMLM/inst/extdata
mrMLM/inst/extdata/GWAS_mrMLM_Numeric_Genotype.csv
mrMLM/inst/extdata/GCIM_Genotype_Format.csv
mrMLM/inst/extdata/GWAS_Population_Structure.csv
mrMLM/inst/extdata/WheatDH_QTLIciMapping_Format.xlsx
mrMLM/inst/extdata/GWAS_Phenotype.csv
mrMLM/inst/extdata/GWAS_Kinship.csv
mrMLM/inst/extdata/GCIM_Phenotype_Format.csv
mrMLM/inst/extdata/GCIM_Cov.csv
mrMLM/inst/extdata/GWAS_Hapmap_Genotype.csv
mrMLM/inst/extdata/env1-jun3_WinQTLCart_Format.mcd
mrMLM/inst/extdata/GCIM_Linkage_Map.csv
mrMLM/inst/extdata/GWAS_mrMLM_Character_Genotype.csv
mrMLM/inst/doc
mrMLM/inst/doc/Instruction.pdf
mrMLM/inst/doc/Instruction1.pdf
mrMLM/NAMESPACE
mrMLM/R
mrMLM/R/mrMLM.R
mrMLM/R/zzz.R
mrMLM/MD5
mrMLM/DESCRIPTION
mrMLM/man
mrMLM/man/mrMLM-package.Rd