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mrMLM v4.0.2:An R Platform for Multi-locus Genome-wide Association Studies
Authors:Ya-Wen Zhang  Cox Lwaka Tamba  Yang-Jun Wen  Pei Li  Wen-Long Ren  Yuan-Li Ni  Jun Gao  Yuan-Ming Zhang
Affiliation:Crop Information Center,College of Plant Science and Technology,Huazhong Agricultural University,Wuhan 430070,China;Department of Mathematics,Egerton University,Egerton 536-20115,Kenya;State Key Laboratory of Crop Genetics and Germplasm Enhancement,Nanjing Agricultural University,Nanjing 210095,China;Department of Epidemiology and Medical Statistics,School of Public Health,Nantong University,Nantong 226019,China;College of Informatics,Huazhong Agricultural University,Wuhan 430070,China
Abstract:Previous studies have reported that some important loci are missed in single-locus genome-wide association studies (GWAS), especially because of the large phenotypic error in field experiments. To solve this issue, multi-locus GWAS methods have been recommended. However, only a few software packages for multi-locus GWAS are available. Therefore, we developed an R software named mrMLM v4.0.2. This software integrates mrMLM, FASTmrMLM, FASTmrEMMA, pLARmEB, pKWmEB, and ISIS EM-BLASSO methods developed by our lab. There are four components in mrMLM v4.0.2, including dataset input, parameter setting, software running, and result output. The fread function in data.table is used to quickly read datasets, especially big datasets, and the doParallel package is used to conduct parallel computation using multiple CPUs. In addition, the graphical user interface software mrMLM.GUI v4.0.2, built upon Shiny, is also available. To confirm the correctness of the aforementioned programs, all the methods in mrMLM v4.0.2 and three widely-used methods were used to analyze real and simulated datasets. The results confirm the superior performance of mrMLM v4.0.2 to other methods currently available. False positive rates are effectively controlled, albeit with a less stringent significance threshold. mrMLM v4.0.2 is publicly available at BioCode (https://bigd.big.ac.cn/biocode/tools/BT007077) or R (https://cran.r-project.org/web/packages/mrMLM.GUI/index.html) as an open-source software.
Keywords:Genome-wide association study  Linear mixed model  mrMLM  Multi-locus genetic model  R
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