A network based covariance test for detecting multivariate eQTL in saccharomyces cerevisiae.

ABSTRACT:

Background

Expression quantitative trait locus (eQTL) analysis has been widely used to understand how genetic variations affect gene expressions in the biological systems. Traditional eQTL is investigated in a pair-wise manner in which one SNP affects the expression of one gene. In this way, some associated markers found in GWAS have been related to disease mechanism by eQTL study. However, in real life, biological process is usually performed by a group of genes. Although some methods have been proposed to identify a group of SNPs that affect the mean of gene expressions in the network, the change of co-expression pattern has not been considered. So we propose a process and algorithm to identify the marker which affects the co-expression pattern of a pathway. Considering two genes

SUBMITTER: Yuan H 

PROVIDER: S-EPMC4895706 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature