Title: DACE: Differential Allelic Co-Expression test for estimating regulatory associations of SNP and biological pathway
Author: Jung Hoon Woo, Tian Zheng, Ju Han Kim
Macrogen Inc., Seoul, Korea.
Department of Statistics, Columbia University, New York, NY, USA.
Seoul National University Biomedical Informatics (SNUBI), Seoul National University College of Medicine, Seoul 110-799, Korea
Abstract: To identify genomic regions associated with individual gene's expressions, genetical genomic approaches have been developed. The approach treats each gene expression value as a trait to determine the genetic factor that explains the variance of the mRNA expression. However, genes often demonstrate coordinated activities and the patterns and levels of coordination are also regulated. In this research, we present a method, the Differential Allelic Co-Expression (DACE) test that identifies the regulatory association derived by alteration of co-expression patterns within a molecular pathway according to allelic difference of a certain SNP.
Keywords: genetical genomics; gene sets; regulator; differential allelic co-expression test; regulatory associations; SNP; biological pathways; gene expressions; mRNA expressions; single nucleotide polymorphisms.
Int. J. of Functional Informatics and Personalised Medicine, 2008 Vol.1, No.4, pp.407 - 418
Available online: 21 Dec 2008