Multiple trait multiple interval mapping of quantitative trait loci from inbred line crosses

摘要: Although many experiments have measurements on multiple traits, most studies performed the analysis of mapping quantitative trait loci (QTL) for each separately using single analysis. Single does not take advantage possible genetic and environmental correlations between traits. In this paper, we propose a novel statistical method interval (MTMIM) QTL inbred line crosses. We also develop score-based estimating genome-wide significance level putative effects suitable MTMIM model. The is implemented in freely available widely used Windows Cartographer software. Throughout provide compelling empirical evidences that: (1) threshold maintains proper type I error rate tends to keep false discovery within an acceptable level; (2) can deliver better parameter estimates power than method; (3) Drosophila dataset illustrates how extract information from datasets with represents convenient framework test hypotheses pleiotropic versus closely linked nonpleiotropic QTL, by environment interaction, estimate total genotypic variance-covariance matrix traits decompose it terms QTL-specific matrices, therefore, providing more details architecture complex