mrMLM v4.0.2: An R Platform for Multi-locus Genome-wide Association Studies
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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8242264/ https://www.ncbi.nlm.nih.gov/pubmed/33346083 http://dx.doi.org/10.1016/j.gpb.2020.06.006 |
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author | Zhang, Ya-Wen Tamba, Cox Lwaka Wen, Yang-Jun Li, Pei Ren, Wen-Long Ni, Yuan-Li Gao, Jun Zhang, Yuan-Ming |
author_facet | Zhang, Ya-Wen Tamba, Cox Lwaka Wen, Yang-Jun Li, Pei Ren, Wen-Long Ni, Yuan-Li Gao, Jun Zhang, Yuan-Ming |
author_sort | Zhang, Ya-Wen |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8242264 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-82422642021-07-02 mrMLM v4.0.2: An R Platform for Multi-locus Genome-wide Association Studies Zhang, Ya-Wen Tamba, Cox Lwaka Wen, Yang-Jun Li, Pei Ren, Wen-Long Ni, Yuan-Li Gao, Jun Zhang, Yuan-Ming Genomics Proteomics Bioinformatics Application Note 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. Elsevier 2020-08 2020-12-18 /pmc/articles/PMC8242264/ /pubmed/33346083 http://dx.doi.org/10.1016/j.gpb.2020.06.006 Text en © 2020 Beijing Institute of Genomics, Chinese Academy of Sciences and Genetics Society of China https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Application Note Zhang, Ya-Wen Tamba, Cox Lwaka Wen, Yang-Jun Li, Pei Ren, Wen-Long Ni, Yuan-Li Gao, Jun Zhang, Yuan-Ming mrMLM v4.0.2: An R Platform for Multi-locus Genome-wide Association Studies |
title | mrMLM v4.0.2: An R Platform for Multi-locus Genome-wide Association Studies |
title_full | mrMLM v4.0.2: An R Platform for Multi-locus Genome-wide Association Studies |
title_fullStr | mrMLM v4.0.2: An R Platform for Multi-locus Genome-wide Association Studies |
title_full_unstemmed | mrMLM v4.0.2: An R Platform for Multi-locus Genome-wide Association Studies |
title_short | mrMLM v4.0.2: An R Platform for Multi-locus Genome-wide Association Studies |
title_sort | mrmlm v4.0.2: an r platform for multi-locus genome-wide association studies |
topic | Application Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8242264/ https://www.ncbi.nlm.nih.gov/pubmed/33346083 http://dx.doi.org/10.1016/j.gpb.2020.06.006 |
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