ⅢVmrMLM:The R and C++tools associated with 3VmrMLM,a comprehensive GWAS method for dissecting quantitative traits

作     者：Mei Li Ya-Wen Zhang Yu Xiang Ming-Hui Liu Yuan-Ming Zhang Mei Li;Ya-Wen Zhang;Yu Xiang;Ming-Hui Liu;Yuan-Ming Zhang

作者机构：College of Plant Science and TechnologyHuazhong Agricultural UniversityWuhan 430070China 

出 版 物：《Molecular Plant》 (分子植物（英文版）)

年 卷 期：2022年第15卷第8期

页      面：1251-1253页

核心收录：

学科分类：0710[理学-生物学] 071001[理学-植物学] 07[理学] 

基　　金：This work was supported by the National Natural Science Foundation of China(32070557,31871242) the Huazhong Agricultural University Scientific&Technological Self-InnovationFoundation(2014RC020) 

主　　题：founding GWAS method 

摘      要：Inmost existingmethods and softwares of genome-wide association studies(GWAS)fordetecting quantitative trait nucleotides(QTNs),QTN-by-environment interactions(QEls),and QTN-by-QTN interactions(QQIs),only the allele substitution effect and its interaction-related effects are detected and estimated,conditional on method-specific polygenic background control,leading to confounding in effect estimation and insufficient polygenic background control(Li et al.,2022;Supplemental Tables 1-3).