Identification of common genetic markers of paroxysmal neurological disorders using a network analysis approach

In this study, we used gene interaction networks to investigate common gene signatures associated with the above phenotypes. In total, 19 candidate genes were used for making an interaction network which further revealed 39 associated genes (includingKCNA1,SCN2A,CACNA1A,KCNM4,KCNO3,SCN1B andCACNB4) implicated in paroxysmal neurological disorders development and progression. The meta-regression analysis showed the strongest association ofSCN2A with genes involved in schizophrenia and neurodevelopmental disorders. Importantly, our analysis showedKCNMA1 as a common gene signature with a link to epilepsy, movement disorders and wide paroxysmal neurological presentations —with the greatest potential risk of being a disease gene in a paroxysmal or psychiatric disorder. Further gene interaction analysis is required to identify unidentified gene interactions which may be targets for future drugs development.
Source: Neurological Sciences - Category: Neurology Source Type: research