Abstract
Emerging data have established links between paroxysmal neurological disorders or psychiatric disorder, such as migraine, ataxia, movement disorders and epilepsy. Common gene signatures such as expression, protein interaction and the associated signalling pathways link genes in these associated disorders, with the object to predict unknown disease or risk genes. 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 (including KCNA1, SCN2A, CACNA1A, KCNM4, KCNO3, SCN1B and CACNB4) implicated in paroxysmal neurological disorders development and progression. The meta-regression analysis showed the strongest association of SCN2A with genes involved in schizophrenia and neurodevelopmental disorders. Importantly, our analysis showed KCNMA1 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.
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The whole analysis is computational based and therefore no human participant was involved in this study.
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This work was performed during the fellowship sponsored by the Charles Wallace Research Fellowship, British Council Pakistan.
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Ilyas, M., Salpietro, V., Efthymiou, S. et al. Identification of common genetic markers of paroxysmal neurological disorders using a network analysis approach. Neurol Sci 41, 851–857 (2020). https://doi.org/10.1007/s10072-019-04113-w
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DOI: https://doi.org/10.1007/s10072-019-04113-w