mrMLM

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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Description file content

Package
mrMLM
Type
Package
Title
Multi-Locus Random-SNP-Effect Mixed Linear Model Tools for Genome-Wide Association Study
Version
3.0
Date
2018-3-10
Author
Zhang Ya-Wen, Li Pei, Ren Wen-Long, Ni Yuan-Li, and Zhang Yuan-Ming
Maintainer
Yuanming Zhang
Description
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.
Depends
MASS,data.table,doParallel,foreach
Imports
methods,openxlsx,stringr,qqman,ggplot2,lars,ncvreg,coin,sampling
License
GPL (>= 2)
NeedsCompilation
no
Packaged
2018-03-11 16:08:32 UTC; abc
Repository
CRAN
Date/Publication
2018-03-12 04:09:16 UTC

install.packages('mrMLM')

3.0

3 months ago

Yuanming Zhang

GPL (>= 2)

Depends on

MASS,data.table,doParallel,foreach

Imports

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

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