A complex network approach reveals a pivotal substructure of genes linked to schizophrenia.
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ABSTRACT: Research on brain disorders with a strong genetic component and complex heritability, such as schizophrenia, has led to the development of brain transcriptomics. This field seeks to gain a deeper understanding of gene expression, a key factor in exploring further research issues. Our study focused on how genes are associated amongst each other. In this perspective, we have developed a novel data-driven strategy for characterizing genetic modules, i.e., clusters of strongly interacting genes. The aim was to uncover a pivotal community of genes linked to a target gene for schizophrenia. Our approach combined network topological properties with information theory to highlight the presence of a pivotal community, for a specific gene, and to simultaneously assess the information content of part
SUBMITTER: Monaco A
PROVIDER: S-EPMC5755767 | biostudies-literature | 2018
REPOSITORIES: biostudies-literature
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