We propose to continue our long-term study of the genetic contributions to epilepsy by performing genetic linkage analysis. Our previous analyses indicate that in most families containing multiple individuals with epilepsy, the mode of inheritance is uncertain. Thus in the proposed study, we shall use analytic approaches that do not require assumptions about mode of inheritance. Approximately 195 families containing equal to or greater than 2 living individuals with idiopathic/cryptogenic epilepsy with onset prior to age 25 will be included in the study (23 families already collected from our original database, 22 additional families containing affected sibling pairs from our original database, and 150 families to be ascertained from the patient resources at our medical center). Genotypes in family members will be determined at approximately 400 microsatellite markers spaced at an average of 10 centimorgan intervals throughout the genome. Analysis of marker alleles shared identical-by-descent (IBD) in affected relatives will be used to identify genomic regions likely, and exclude regions unlikely, to contain genes raising risk for idiopathic/cryptogenic epilepsy with onset prior to age 25. In genomic regions with suggestive evidence for linkage, we will use multipoint linkage analysis association analysis to assess the evidence further. If evidence for linkage is obtained, we will explore the phenotypes most likely to result from the mapped susceptibility genes by analysis of the effect on allele sharing when the phenotype is restricted to specific clinical subgroups (e.g., generalized epilepsy, localization-related epilepsy).

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
5R01NS020656-10
Application #
2685646
Study Section
Epidemiology and Disease Control Subcommittee 2 (EDC)
Program Officer
Jacobs, Margaret
Project Start
1985-09-09
Project End
2002-03-31
Budget Start
1998-04-01
Budget End
1999-03-31
Support Year
10
Fiscal Year
1998
Total Cost
Indirect Cost
Name
Columbia University (N.Y.)
Department
Miscellaneous
Type
Schools of Medicine
DUNS #
167204994
City
New York
State
NY
Country
United States
Zip Code
10032
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Choi, H; Winawer, M R; Kalachikov, S et al. (2006) Classification of partial seizure symptoms in genetic studies of the epilepsies. Neurology 66:1648-53
Shostak, Sara; Ottman, Ruth (2006) Ethical, legal, and social dimensions of epilepsy genetics. Epilepsia 47:1595-602
Wang, Yuanjia; Ottman, Ruth; Rabinowitz, Daniel (2006) A method for estimating penetrance from families sampled for linkage analysis. Biometrics 62:1081-8
Ottman, Ruth (2005) Analysis of genetically complex epilepsies. Epilepsia 46 Suppl 10:7-14
Ottman, Ruth; Berenson, Karina; Barker-Cummings, Christie (2005) Recruitment of families for genetic studies of epilepsy. Epilepsia 46:290-7
Winawer, M R; Marini, C; Grinton, B E et al. (2005) Familial clustering of seizure types within the idiopathic generalized epilepsies. Neurology 65:523-8
Ottman, R; Winawer, M R; Kalachikov, S et al. (2004) LGI1 mutations in autosomal dominant partial epilepsy with auditory features. Neurology 62:1120-6
Winawer, M R; Rabinowitz, D; Pedley, T A et al. (2003) Genetic influences on myoclonic and absence seizures. Neurology 61:1576-81
Winawer, Melodie Rose; Rabinowitz, Daniel; Barker-Cummings, Christie et al. (2003) Evidence for distinct genetic influences on generalized and localization-related epilepsy. Epilepsia 44:1176-82

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