ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2020
Identification of common genetic markers of paroxysmal neurological disorders using a network analysis approach.
Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Episodic Ataxias: Primary and Secondary Etiologies, Treatment, and Classification Approaches.Tremor and other hyperkinetic movements (New York, N.Y.) · 2023Pooled it
- Integrating Pharmacodynamic Data to Prioritise Candidate Migraine Genes and Pathways Using a Novel Bioinformatics Workflow.Journal of clinical medicine · 2026Article
- Gene therapies alleviate absence epilepsy associated withbioRxiv : the preprint server for biology · 2025Article
- Across preclinical and clinical platforms, approved and investigational psychiatric drugs share pathways and associate with similar molecular functions.Frontiers in drug discovery · 2025Article
- Exploration on the potential efficacy and mechanism of methyl salicylate glycosides in the treatment of schizophrenia based on bioinformatics, molecular docking and dynamics simulation.Schizophrenia (Heidelberg, Germany) · 2024Article
- Convergent and divergent genes expression profiles associated with brain-wide functional connectome dysfunction in deficit and non-deficit schizophrenia.Translational psychiatry · 2024Article
- Symptomatic, Genetic, and Mechanistic Overlaps between Autism and Alzheimer's Disease.Biomolecules · 2021Review
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
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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Registered trials
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