Differential gene regulatory pattern in the human brain from schizophrenia using transcriptomic-causal network.

ABSTRACT:

Background

Common and complex traits are the consequence of the interaction and regulation of multiple genes simultaneously, therefore characterizing the interconnectivity of genes is essential to unravel the underlying biological networks. However, the focus of many studies is on the differential expression of individual genes or on co-expression analysis.

Methods

Going beyond analysis of one gene at a time, we systematically integrated transcriptomics, genotypes and Hi-C data to identify interconnectivities among individual genes as a causal network. We utilized different machine learning techniques to extract information from the network and identify differential regulatory pattern between cases and controls. We used data from the Allen Brain Atlas for replication.

Res

SUBMITTER: Yazdani A 

PROVIDER: S-EPMC7579819 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature