Combined expression trait correlations and expression quantitative trait locus mapping.

ABSTRACT: Coordinated regulation of gene expression levels across a series of experimental conditions provides valuable information about the functions of correlated transcripts. The consideration of gene expression correlation over a time or tissue dimension has proved valuable in predicting gene function. Here, we consider correlations over a genetic dimension. In addition to identifying coregulated genes, the genetic dimension also supplies us with information about the genomic locations of putative regulatory loci. We calculated correlations among approximately 45,000 expression traits derived from 60 individuals in an F2 sample segregating for obesity and diabetes. By combining the correlation results with linkage mapping information, we were able to identify regulatory networks, make functiona

SUBMITTER: Lan H 

PROVIDER: S-EPMC1331977 | biostudies-literature | 2006 Jan

REPOSITORIES: biostudies-literature