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.

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

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Files

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_Cov.csv
mrMLM/inst/extdata/GWAS_Hapmap_Genotype.csv
mrMLM/inst/extdata/env1-jun3_WinQTLCart_Format.mcd
mrMLM/inst/extdata/GWAS_FASTmrEMMA_Numeric_Genotype.csv
mrMLM/inst/extdata/GCIM_Linkage_Map_Format.csv
mrMLM/inst/extdata/GWAS_mrMLM_Character_Genotype.csv
mrMLM/inst/extdata/GCIM_Penotype_Format.csv
mrMLM/inst/doc
mrMLM/inst/doc/Instruction.pdf
mrMLM/NAMESPACE
mrMLM/R
mrMLM/R/mrMLM.R mrMLM/R/zzz.R
mrMLM/MD5
mrMLM/DESCRIPTION
mrMLM/man
mrMLM/man/mrMLM-package.Rd

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