Familial aggregation of seizure outcomes in four familial epilepsy cohorts.

familial epilepsy genetics meta‐analysis remission treatment response

Journal

Epilepsia
ISSN: 1528-1167
Titre abrégé: Epilepsia
Pays: United States
ID NLM: 2983306R

Informations de publication

Date de publication:
13 May 2024
Historique:
revised: 24 04 2024
received: 12 09 2023
accepted: 25 04 2024
medline: 13 5 2024
pubmed: 13 5 2024
entrez: 13 5 2024
Statut: aheadofprint

Résumé

To 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. We 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. The 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 × 10 A 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.

Identifiants

pubmed: 38738647
doi: 10.1111/epi.18004
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NINDS NIH HHS
ID : K23NS121520
Pays : United States
Organisme : NINDS NIH HHS
ID : R01NS20656
Pays : United States
Organisme : NINDS NIH HHS
ID : R01NS43472
Pays : United States
Organisme : NINDS NIH HHS
ID : U01NS053998
Pays : United States
Organisme : NINDS NIH HHS
ID : U01NS077367
Pays : United States

Informations de copyright

© 2024 International League Against Epilepsy.

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Auteurs

Colin A Ellis (CA)

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

Danni Tu (D)

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

Karen L Oliver (KL)

Department of Medicine, Epilepsy Research Centre, University of Melbourne, Austin Health, Melbourne, Victoria, Australia.
Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia.
Department of Medical Biology, The University of Melbourne, Melbourne, Victoria, Australia.

Heather C Mefford (HC)

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

W Allen Hauser (WA)

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

Jeffrey Buchhalter (J)

Buchhalter Consulting, PLLC, Phoenix, Arizona, USA.

Michael P Epstein (MP)

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

Quy Cao (Q)

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

Samuel F Berkovic (SF)

Department of Medicine, Epilepsy Research Centre, University of Melbourne, Austin Health, Melbourne, Victoria, Australia.
Florey Institute of Neuroscience and Mental Health, Parkville, Victoria, Australia.

Ruth Ottman (R)

Department of Neurology and Epidemiology, and the Gertrude H. Sergievsky Center, Columbia University Irving Medical Center, New York, New York, USA.
Division of Translational Epidemiology and Mental Health Equity, New York State Psychiatric Institute, New York, New York, USA.

Classifications MeSH