mrMLM Multi-Locus Random-SNP-Effect Mixed Linear Model Tools for Genome-Wide Association Study

Introduction

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 true QTL. Wen YJ, Zhang H, Ni YL, Huang B, Zhang J, Feng JY, Wang SB, Dunwell JM, Zhang YM, Wu R (2018) .

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Credits

  1. Yuan-Ming Zhang soyzhang@mail.hzau.edu.cn
    Investigator

    college of plant science and technology, Huazhong Agricultural University, China

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Summary
AccessionBT007076
Tool TypeToolkit
CategorymGWAS
PlatformsLinux/Unix, MAC OS X, Windows
TechnologiesR
User InterfaceTerminal Command Line
Download Count0
Country/RegionChina
Submitted ByYuan-Ming Zhang
Fundings

The work was supported by National Natural Science Foundation of China (31571268, 31871242, U1602261, 31701071 and 21873034), Huazhong Agricultural University Scientific & Technological Self-innovation Foundation (2014RC020), and State Key Laboratory of Cotton Biology Open Fund (CB2019B01)