Applying gene expression, proteomics and single-nucleotide polymorphism analysis for complex trait gene identification.

ABSTRACT: Previous quantitative trait locus (QTL) analysis of an intercross involving the inbred mouse strains NZB/BlNJ and SM/J revealed QTL for a variety of complex traits. Many QTL have large intervals containing hundreds of genes, and methods are needed to rapidly sort through these genes for probable candidates. We chose nine QTL: the three most significant for high-density lipoprotein (HDL) cholesterol, gallstone formation, and obesity. We searched for candidate genes using three different approaches: mRNA microarray gene expression technology to assess >45,000 transcripts, publicly available SNPs to locate genes that are not identical by descent and that contain nonsynonymous coding differences, and a mass-spectrometry-based proteomics technology to interrogate nearly 1000 proteins for differ

SUBMITTER: Stylianou IM 

PROVIDER: S-EPMC2278051 | biostudies-literature | 2008 Mar

REPOSITORIES: biostudies-literature