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>.
| Version: |
3.1 |
| Depends: |
MASS, data.table, doParallel, foreach |
| Imports: |
methods, openxlsx, stringr, qqman, ggplot2, lars, ncvreg, coin, sampling, bigmemory |
| Published: |
2018-08-25 |
| Author: |
Zhang Ya-Wen, Li Pei, Ren Wen-Long, Ni Yuan-Li, and Zhang Yuan-Ming |
| Maintainer: |
Yuanming Zhang <soyzhang at mail.hzau.edu.cn> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| CRAN checks: |
mrMLM results |
Downloads:
Reverse dependencies:
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