ArticleGenomics, proteomics & bioinformatics2020
mrMLM v4.0.2: An R Platform for Multi-locus Genome-wide Association Studies.
Article in Genomics, proteomics & bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers.
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Who cites it
121 citing papers in PubMed.
- Integrative GWAS and Transcriptome Analysis Reveal Genetic Architecture and Candidate Genes for Drought Tolerance During Soybean Germination.Plants (Basel, Switzerland) · 2026Article
- Genomic insights into end-use grain quality and nutritional traits of an ancient Indian dwarf wheat ( Triticum sphaerococcum Percival) population using a multi-locus genome-wide association study.Journal of the science of food and agriculture · 2026Article
- Genetic Mapping of Quantitative Trait Loci Contributing to Variation in In Vitro Deoxynivalenol Levels inToxins · 2026Article
- Association mapping integrated with image-based phenomics identifies SNPs and candidate genes underpinning fruit morphology and development in chile pepper (Capsicum annum L.).G3 (Bethesda, Md.) · 2026Article
- Marker-trait associations and superior haplotypes for rice straw cell wall components and their relationship with digestibility and agronomic traits.BMC plant biology · 2026Article
- Genome-wide association study identifies loci controlling grain yield and protein content in mungbean (Vigna radiata (L.) R. Wilczek var. radiata) using DArTseq SNP markers.BMC plant biology · 2026Article
- Genetic dissection of gluten characteristics based on single- and multi-locus genome-wide association studies in wheat (Food chemistry. Molecular sciences · 2026Article
- Multi-locus genome-wide association study on the rheological traits in wheat flour dough.BMC genomics · 2026Article
- Multi-locus GWAS to unravel the genetic architecture of grain iron, zinc and protein contents in wheat (Triticum aestivum L.) genotypes evaluated over multiple locations and years.BMC plant biology · 2026Article
- Identifying candidate genes for grain protein content in wheat (Triticum aestivum L.) by integrated GWAS and transcriptome analysis.BMC plant biology · 2026Article
- Genome-wide association analysis of salinity tolerance-related loci in bread wheat (Triticum aestivum L.) at the germination stage.BMC plant biology · 2026Article
- A Quantitative Trait Nucleotide-Based Genomic Selection Strategy for Seed Oil and Protein Content in Soybean.Plants (Basel, Switzerland) · 2026Article
- Multilocus genome-wide association study reveals genomic regions associated with resistance to red leaf blotch in soybean.BMC plant biology · 2026Article
- Genome-Wide Identification of Genomic Regions Associated with Body Weight and Morphometric Traits in Awassi Sheep.Animals : an open access journal from MDPI · 2026Article
- Article
- Genome-wide association analysis reveals natural genetic variations controlling canopy architecture traits in bread wheat.Scientific reports · 2026Article
- Understanding the genetics of root system architecture in pigeonpea [Cajanus cajan (L.) Millsp.].TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Article
- Genetic architecture of seed protein composition in grain amaranth (Frontiers in nutrition · 2026Article
- Genome-wide association study revealed genomic regions associated with tuber quality traits in water yam (Dioscorea alata L.).PloS one · 2026Article
61 more citing papers are in PubMed but not listed here.
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.