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. Wen YJ, Zhang H, Ni YL, Huang B, Zhang J, Feng JY, Wang SB, Dunwell JM, Zhang YM, Wu R (2018) <doi:10.1093/bib/bbw145>.

Getting started

Package details

AuthorZhang Ya-Wen, Li Pei, Ren Wen-Long, Ni Yuan-Li, and Zhang Yuan-Ming
MaintainerYuanming Zhang<[email protected]>
LicenseGPL (>= 2)
Version3.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("mrMLM")

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mrMLM documentation built on May 2, 2019, 8:17 a.m.