Familial aggregation of seizure outcomes in four familial epilepsy cohorts

Author:

Ellis Colin A.1ORCID,Tu Danni2,Oliver Karen L.345ORCID,Mefford Heather C.6ORCID,Hauser W. Allen7,Buchhalter Jeffrey8ORCID,Epstein Michael P.9,Cao Quy2, , ,Berkovic Samuel F.310ORCID,Ottman Ruth711ORCID

Affiliation:

1. Department of Neurology University of Pennsylvania Perelman School of Medicine Philadelphia Pennsylvania USA

2. Department of Biostatistics, Epidemiology, & Informatics University of Pennsylvania Philadelphia Pennsylvania USA

3. Department of Medicine, Epilepsy Research Centre University of Melbourne, Austin Health Melbourne Victoria Australia

4. Population Health and Immunity Division The Walter and Eliza Hall Institute of Medical Research Melbourne Victoria Australia

5. Department of Medical Biology The University of Melbourne Melbourne Victoria Australia

6. Department of Cell and Molecular Biology St Jude Children's Research Hospital Memphis Tennessee USA

7. Department of Neurology and Epidemiology, and the Gertrude H. Sergievsky Center Columbia University Irving Medical Center New York New York USA

8. Buchhalter Consulting, PLLC Phoenix Arizona USA

9. Department of Human Genetics Emory University School of Medicine Atlanta Georgia USA

10. Florey Institute of Neuroscience and Mental Health Parkville Victoria Australia

11. Division of Translational Epidemiology and Mental Health Equity New York State Psychiatric Institute New York New York USA

Abstract

AbstractObjectiveTo assess the possible effects of genetics on seizure outcome by estimating the familial aggregation of three outcome measures: seizure remission, history of ≥4 tonic–clonic seizures, and seizure control for individuals taking antiseizure medication.MethodsWe analyzed families containing multiple persons with epilepsy in four previously collected retrospective cohorts. Seizure remission was defined as being 5 and 10 years seizure‐free at last observation. Total number of tonic–clonic seizures was dichotomized at <4 and ≥4 seizures. Seizure control in patients taking antiseizure medication was defined as no seizures for 1, 2, and 3 years. We used Bayesian generalized linear mixed‐effects model (GLMM) to estimate the intraclass correlation coefficient (ICC) of the family‐specific random effect, controlling for epilepsy type, age at epilepsy onset, and age at last data collection as fixed effects. We analyzed each cohort separately and performed meta‐analysis using GLMMs.ResultsThe combined cohorts included 3644 individuals with epilepsy from 1463 families. A history of ≥4 tonic–clonic seizures showed strong familial aggregation in three separate cohorts and meta‐analysis (ICC .28, 95% confidence interval [CI] .21–.35, Bayes factor 8 × 1016). Meta‐analyses did not reveal significant familial aggregation of seizure remission (ICC .08, 95% CI .01–.17, Bayes factor 1.46) or seizure control for individuals taking antiseizure medication (ICC .13, 95% CI 0–.35, Bayes factor 0.94), with heterogeneity among cohorts.SignificanceA history of ≥4 tonic–clonic seizures aggregated strongly in families, suggesting a genetic influence, whereas seizure remission and seizure control for individuals taking antiseizure medications did not aggregate consistently in families. Different seizure outcomes may have different underlying biology and risk factors. These findings should inform the future molecular genetic studies of seizure outcomes.

Funder

National Institute of Neurological Disorders and Stroke

National Health and Medical Research Council

Publisher

Wiley

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