Gene–gene interactions and biological network analysis of diseases with disturbances of human cognitive functions

Neurological and mental diseases, such as schizophrenia, Alzheimer’s disease, bipolar disorder, and Parkinson’s disease, have complex phenotypes with cognitive impairment. These diseases are socially significant pathologies and serious problems for world health and are distinguished by the multilevel nature of genetic information. A number of active genes are involved in the formation of the final phenotype. Thus, it is necessary to apply the analysis of biological networks aimed at identifying the interacting genes and proteins that lead to the pathogenesis of the disease in order to understand the molecular mechanisms underlying the studied pathology. In this study, various online resources and databases were used to implement this approach: WebGestalt, Gene Ontology, and STRING. A protein–protein interaction network was obtained where two subnets are distinguished, one of which is involved in the risk of developing schizophrenia and the other in the risk of developing Alzheimer’s disease.

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