Multi-Locus Random-SNP-Effect Mixed Linear Model Tools for GWAS
Overview
Conduct multi-locus genome-wide association study under the framework of multi-locus 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 genetic model, their effects are estimated by empirical Bayes, and all the nonzero effects were further identified by likelihood ratio test for significant QTL. The program may run on a desktop or laptop computers. If marker genotypes in association mapping population are almost homozygous, these methods in this software are very effective. If there are many heterozygous marker genotypes, the IIIVmrMLM software is recommended. 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), and Li M, Zhang YW, Zhang ZC, Xiang Y, Liu MH, Zhou YH, Zuo JF, Zhang HQ, Chen Y, Zhang YM (2022, doi:10.1016/j.molp.2022.02.012).
Install
Health
NOTERd filesr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64
checkRd: (-1) MultiManhattan.Rd:33: Lost braces; missing escapes or markup?
33 | \item{LogTimes}{Magnification of {-log10(P-value)}; the default is
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checkRd: (-1) MultiManhattan.Rd:35: Lost braces; missing escapes or markup?
35 | \item{LODTimes}{Magnification of {LOD score}; the default is 1.2.}
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- NOTE14 NOTE2026-04-22
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Documentation
- Help pages
- 18includes a package overview page
- Examples that run
- 92%11 run in a plain check · 1 never run
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 0%
- Help pages citing references
- 6%
Downloads
Dependencies
Installing mrMLM adds 22 packages (13 with compiled code, 26 MB of source tarballs). Heaviest: TH.data 8.2 MB, data.table 5.7 MB, Rcpp 1.8 MB.
Code & Tests
Datasets
People & History
Maintainer since 1.0 (2016)
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Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 5.0.1Latest
- 5.02022-03-18 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 4.0.22020-10-08 · diff ↗
- 4.0.1
- RR 4.0.0 released · 2020-04-24
- 4.02019-10-22 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 3.12018-08-26 · diff ↗ ·
added 9 exports
mrMLMFun, FASTmrMLM, FASTmrEMMA, pLARmEB, pKWmEB, ISIS, ReadData, inputData, DoData - RR 3.5.0 released · 2018-04-23
- 3.02018-03-12 · diff ↗
Package metadata
- First published
- 2016-02-26
- Total releases
- 13 / 10 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 107 KB / 6 files
- Download size
- 645 KB
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