{ "_id": "6ab118093d719c1f84086fb4", "Package": "mrMLM", "Type": "Package", "Title": "Multi-Locus Random-SNP-Effect Mixed Linear Model Tools for GWAS", "Version": "5.0.1", "Date": "2022-3-27", "Maintainer": "Yuan-Ming Zhang ", "Contact": "Yuan-Ming Zhang ", "Authors@R": "c( person(\"Ya-Wen\", \"Zhang\", role=\"aut\")\n, person(\"Jing-Tian\", \"Wang\", role=\"aut\")\n, person(\"Pei\", \"Li\", role=\"aut\")\n, person(\"Yuan-Ming\", \"Zhang\", role=c(\"aut\",\"cre\"), email=\"soyzhang@mail.hzau.edu.cn\",\ncomment=c(ORCID=\"0000-0003-2317-2190\"))\n)", "Description": "Conduct multi-locus genome-wide association study under\nthe framework of multi-locus random-SNP-effect mixed linear\nmodel (mrMLM). First, each marker on the genome is scanned.\nBonferroni correction is replaced by a less stringent selection\ncriterion for significant test. Then, all the markers that are\npotentially associated with the trait are included in a\nmulti-locus genetic model, their effects are estimated by\nempirical Bayes, and all the nonzero effects were further\nidentified by likelihood ratio test for significant QTL. The\nprogram may run on a desktop or laptop computers. If marker\ngenotypes in association mapping population are almost\nhomozygous, these methods in this software are very effective.\nIf there are many heterozygous marker genotypes, the IIIVmrMLM\nsoftware is recommended. 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