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Annual Review of Genetics
Article . 2001 . Peer-reviewed
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Identification of Epilepsy Genes in Human and Mouse

Authors: Andrew Escayg; Miriam H. Meisler; Jennifer A. Kearney; Ruth Ottman;

Identification of Epilepsy Genes in Human and Mouse

Abstract

▪ Abstract The development of molecular markers and genomic resources has facilitated the isolation of genes responsible for rare monogenic epilepsies in human and mouse. Many of the identified genes encode ion channels or other components of neuronal signaling. The electrophysiological properties of mutant alleles indicate that neuronal hyperexcitability is one cellular mechanism underlying seizures. Genetic heterogeneity and allelic variability are hallmarks of human epilepsy. For example, mutations in three different sodium channel genes can produce the same syndrome, GEFS+, while individuals with the same allele can experience different types of seizures. Haploinsufficiency for the sodium channel SCN1A has been demonstrated by the severe infantile epilepsy and cognitive deficits in heterozygotes for de novo null mutations. Large-scale patient screening is in progress to determine whether less severe alleles of the genes responsible for monogenic epilepsy may contribute to the common types of epilepsy in the human population. The development of pharmaceuticals directed towards specific epilepsy genotypes can be anticipated, and the introduction of patient mutations into the mouse genome will provide models for testing these targeted therapies.

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Keywords

Epilepsy, Potassium Channels, Genetic Linkage, Nerve Tissue Proteins, Receptors, Nicotinic, Mice, Mutant Strains, Sodium Channels, NAV1.1 Voltage-Gated Sodium Channel, Disease Models, Animal, Mice, Phenotype, Mutation, Animals, Humans, Receptors, Cholinergic

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
124
Top 10%
Top 10%
Top 1%
bronze