Improved human disease candidate gene prioritization using mouse phenotype.

ABSTRACT:

Background

The majority of common diseases are multi-factorial and modified by genetically and mechanistically complex polygenic interactions and environmental factors. High-throughput genome-wide studies like linkage analysis and gene expression profiling, tend to be most useful for classification and characterization but do not provide sufficient information to identify or prioritize specific disease causal genes.

Results

Extending on an earlier hypothesis that the majority of genes that impact or cause disease share membership in any of several functional relationships we, for the first time, show the utility of mouse phenotype data in human disease gene prioritization. We study the effect of different data integration methods, and based on the validation studies, we show

SUBMITTER: Chen J 

PROVIDER: S-EPMC2194797 | biostudies-literature | 2007 Oct

REPOSITORIES: biostudies-literature