Integrating expression profiling and whole-genome association for dissection of fat traits in a porcine model.

ABSTRACT: Traits related to fatness, important as economic factors in pork production, are associated with serious diseases in humans. Genetical genomics is a useful approach for studying the effects of genetic variation at the molecular level in biological systems. Here we applied a whole-genome association analysis to hepatic gene expression traits, focusing on transcripts with expression levels that correlated with fatness traits in a porcine model. A total of 150 crossbred pigs [Pietrain × (German Large White × German Landrace)] were studied for transcript levels in the liver. The 24K Affymetrix expression microarrays and 60K Illumina single nucleotide polymorphism (SNP) chips were used for genotyping. A total of 663 genes, whose expression significantly correlated with the trait "fat area," wer

SUBMITTER: Ponsuksili S 

PROVIDER: S-EPMC3284160 | biostudies-literature | 2011 Apr

REPOSITORIES: biostudies-literature