ArticleEpilepsia2022
The Seizure-Associated Genes Across Species (SAGAS) database offers insights into epilepsy genes, pathways and treatments.
Article in Epilepsia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- Solute carrier membrane transporters: emerging targets in CNS disorders.Nature reviews. Drug discovery · 2026Review
- Heterogeneity of monogenic epilepsy in loci, phenotypes, and treatment approaches.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Review
- Identification and verification of hub genes related to mitochondrial dysfunction in epilepsy based on bioinformatics analysis.BMC neurology · 2026Article
- Vitamin D is involved in regulating limbic epileptogenesis.Brain communications · 2026Article
- Article
- Epilepsies of presumed genetic etiology show enrichment of rare variants that occur in the general population.American journal of human genetics · 2023Article
- The role of rare genetic variants enrichment in epilepsies of presumed genetic etiology.medRxiv : the preprint server for health sciences · 2023Article
- Memristive Neural Networks for Predicting Seizure Activity.Sovremennye tekhnologii v meditsine · 2023Article
- The Seizure-Associated Genes Across Species (SAGAS) database offers insights into epilepsy genes, pathways and treatments.Epilepsia · 2022Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveDecades of genetic studies on people with many different epilepsies, and on many nonhuman species, using many different technologies, have generated a huge body of literature about the genes associated with seizures/epilepsy. Collating these data can help uncover epilepsy genes, pathways, and treatments that would otherwise be overlooked. We aimed to collate and structure these data into a database, and use the database to identify novel epilepsy genes and pathways, and to prioritize promising treatments.
methodsWe collated all the genes associated with all types of seizures/epilepsy in all species, and quantified the supporting evidence for each gene, by manually screening ~10 000 publications, and by extracting data from existing databases.
resultsThe largest published dataset of epilepsy genes includes only 977 genes, whereas our database (www.sagas.ac) includes 2876 genes, which demonstrates that the number of genes that can potentially contribute to seizures/epilepsy is much higher than previously envisaged. We use our database to identify 12 hitherto unreported polygenic epilepsy genes, 479 high-confidence monogenic epilepsy genes, and 394 more biological pathways than identified using the previously largest epilepsy gene dataset. We use a unique feature of Seizure-Associated Genes Across Species-the number of citations for each gene-to demonstrate that a drug is more likely to affect seizures if there is more evidence that the genes it affects are associated with seizures, and we use these data to identify promising candidate antiseizure drugs. SIGNIFICANCE: This database offers insights into the causes of epilepsy and its treatments, and can accelerate future epilepsy research.
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