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.
| Version: |
3.0 |
| Depends: |
MASS, data.table, doParallel, foreach |
| Imports: |
methods, openxlsx, stringr, qqman, ggplot2, lars, ncvreg, coin, sampling |
| Published: |
2018-03-12 |
| 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 |