Predicting the phenotypic values of physiological traits using SNP genotype and gene expression data in mice.

ABSTRACT: Predicting phenotypes using genome-wide genetic variation and gene expression data is useful in several fields, such as human biology and medicine, as well as in crop and livestock breeding. However, for phenotype prediction using gene expression data for mammals, studies remain scarce, as the available data on gene expression profiling are currently limited. By integrating a few sources of relevant data that are available in mice, this study investigated the accuracy of phenotype prediction for several physiological traits. Gene expression data from two tissues as well as single nucleotide polymorphisms (SNPs) were used. For the studied traits, the variance of the effects of the expression levels was more likely to differ among the genes than were the effects of SNPs. For the glucose conc

SUBMITTER: Takagi Y 

PROVIDER: S-EPMC4277360 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature