mrMLM - Multi-Locus Random-SNP-Effect Mixed Linear Model Tools for GWAS
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>).