The goal of this research is to find the genes underlying Rolandic epilepsy (RE), a developmental focal epilepsy of complex genetic inheritance. RE is the most common epilepsy of childhood and is frequently associated with specific neuropsychological deficits (NPDs), an observation that is not widely appreciated by treating clinicians or by teachers. The NPDs, as well as a subclinical EEG trait, are also found in siblings of RE patients, suggesting RE is caused by a few genes of major effect, a situation for which linkage and association analysis are ideal. We propose to use linkage analysis to identify susceptibility loci for RE and NPDs, and use modern molecular methods and association analysis to pinpoint and identify disease genes at these loci. The three specific aims of the proposal are: (1) to collect detailed clinical, EEG and neuropsychological data and DNA samples from at least 100 families with a typical RE proband. We will use stringent eligibility criteria, and an expert panel to subclassify cases; (2) to perform a genome-wide linkage analysis screen to identify susceptibility loci for RE. We will test, using linkage analysis, the hypotheses that: i) the RE+/-EEG trait and NPDs are manifestations of the same genotype; ii) subtypes of RE, based on diurnal pattern or seizure frequency, represent genetically heterogeneous forms; iii) large, densely affected RE pedigrees have different inheritance from RE found in nuclear families; iv) RE is linked to candidate loci for idiopathic generalized or focal epilepsies; (3) Identify genes and specific mutations at these susceptibility loci that predispose to RE, and that contribute to the expression of clinical, treatment and cognitive outcomes. We will perform precise gene mapping and mutation detection principally using recombination analysis, dense SNP mapping, haplotype reconstruction and DNA sequencing. Finding RE genes is important because of its high incidence and currently unknown etiology. More importantly, the cause, population incidence, and prognosis of NPDs associated with RE is unknown. We can use genotype-phenotype correlations from our uniquely valuable resource for molecular diagnostic tools to improve patient care and to plan early intervention. Furthermore, genetic discoveries from this research will stimulate discoveries in related severe idiopathic focal childhood epilepsies and neurodevelopmental biology.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
5R01NS047530-03
Application #
7178487
Study Section
Developmental Brain Disorders Study Section (DBD)
Program Officer
Fureman, Brandy E
Project Start
2005-01-24
Project End
2008-12-31
Budget Start
2007-01-01
Budget End
2007-12-31
Support Year
3
Fiscal Year
2007
Total Cost
$545,364
Indirect Cost
Name
Columbia University (N.Y.)
Department
Public Health & Prev Medicine
Type
Schools of Public Health
DUNS #
621889815
City
New York
State
NY
Country
United States
Zip Code
10032
McGinnity, Colm J; Smith, Anna B; Yaakub, Siti N et al. (2017) Decreased functional connectivity within a language subnetwork in benign epilepsy with centrotemporal spikes. Epilepsia Open 2:214-225
Panjwani, Naim; Wilson, Michael D; Addis, Laura et al. (2016) A microRNA-328 binding site in PAX6 is associated with centrotemporal spikes of rolandic epilepsy. Ann Clin Transl Neurol 3:512-22
Vega, Yaiza Hernández; Smith, Anna; Cockerill, Hannah et al. (2015) Risk factors for reading disability in families with rolandic epilepsy. Epilepsy Behav 53:174-9
Smith, Anna B; Kavros, Peregrine M; Clarke, Tara et al. (2012) A neurocognitive endophenotype associated with rolandic epilepsy. Epilepsia 53:705-11
Strug, Lisa J; Addis, Laura; Chiang, Theodore et al. (2012) The genetics of reading disability in an often excluded sample: novel loci suggested for reading disability in Rolandic epilepsy. PLoS One 7:e40696
Tang, Shan S; Clarke, Tara; Owens, Judith et al. (2011) Sleep behavior disturbances in rolandic epilepsy. J Child Neurol 26:239-43
Jensen, Frances E (2011) Epilepsy as a spectrum disorder: Implications from novel clinical and basic neuroscience. Epilepsia 52 Suppl 1:1-6
Greenberg, David A; Subaran, Ryan (2011) Blinders, phenotype, and fashionable genetic analysis: a critical examination of the current state of epilepsy genetic studies. Epilepsia 52:1-9
Strug, Lisa J; Hodge, Susan E; Chiang, Theodore et al. (2010) A pure likelihood approach to the analysis of genetic association data: an alternative to Bayesian and frequentist analysis. Eur J Hum Genet 18:933-41
Vierck, Esther; Cauley, Ryan; Kugler, Steven L et al. (2010) Polyspike and waves do not predict generalized tonic-clonic seizures in childhood absence epilepsy. J Child Neurol 25:475-81

Showing the most recent 10 out of 26 publications