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Investigating the effect of polygenic background on epilepsy phenotype in ‘monogenic’ familiesResearch in context

Authors :
Karen L. Oliver
Ingrid E. Scheffer
Colin A. Ellis
Bronwyn E. Grinton
Samuel F. Berkovic
Melanie Bahlo
Zaid Afawi
Dina Amrom
Eva Andermann
Jocelyn F. Bautista
Susannah T. Bellows
Judith Bluvstein
Gregory D. Cascino
Seo-Kyung Chung
Patrick Cossette
Sarah W. Curtis
Norman Delanty
Orrin Devinsky
Dennis Dlugos
Michael P. Epstein
Catharine Freyer
Micheline Gravel
Rebekah V. Harris
Erin L. Heinzen
Olivia J. Henry
Heidi E. Kirsch
Robert C. Knowlton
Eric H. Kossoff
Rebecca Loeb
Daniel H. Lowenstein
Anthony G. Marson
Heather C. Mefford
Paul V. Motika
Terence J. O'Brien
Ruth Ottman
Juliann M. Paolicchi
Slave Petrovski
William O. Pickrell
Mark I. Rees
Lynette G. Sadleir
Jerry J. Shih
Rani K. Singh
Michael C. Smith
Philip E.M. Smith
Rhys H. Thomas
Judith Weisenberg
Peter Widdess-Walsh
Melodie R. Winawer
Source :
EBioMedicine, Vol 109, Iss , Pp 105404- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

Summary: Background: Phenotypic variability within families with epilepsy is often observed, even when relatives share the same monogenic cause. We aimed to investigate whether common polygenic risk for epilepsy could explain the penetrance and phenotypic expression of rare pathogenic variants in familial epilepsies. Methods: We studied 58 clinically heterogeneous families with genetic epilepsy with febrile seizures plus (GEFS+). Relatives were coded as either unaffected or affected with epilepsy, and graded according to phenotype severity: no seizures, febrile seizures (FS) only, febrile seizures plus (FS+), generalised/focal epilepsy, or developmental and epileptic encephalopathy (DEE). Epilepsy polygenic risk scores (PRSs) were tested for association with epilepsy phenotype. Within families, the mean PRS difference was compared between pairs concordant versus discordant for phenotype severity. Statistical analyses were performed using mixed-effect regression models. Findings: 304 individuals segregating a known, or presumed, rare variant of large effect, were studied. Within families, higher epilepsy polygenic risk was associated with an epilepsy diagnosis (OR = 1.39, 95% CI 1.08, 1.80, padj = 0.040). Relatives with a more severe phenotype had a mean pairwise PRS difference of +0.19 higher than relatives with a milder phenotype (padj = 0.010). The difference increased with greater phenotype discordance between relatives. As the cohort included two rare variants with >30 relatives each, variant-specific genotype–phenotype associations could also be analysed. Whilst the epilepsy PRS effect was strong for relatives segregating the GABRG2 p.Arg82Gln pathogenic variant (padj = 0.0010), the effect was not significant for SCN1B p.Cys121Trp. Interpretation: We provide support for genetic background modifying the penetrance and phenotypic expression of rare variants associated with ‘monogenic’ epilepsies. In GEFS+ families, relatives with higher epilepsy PRSs were more likely to show penetrance (epilepsy diagnosis) and a more severe phenotype. Variant-specific analyses suggest that some rare variants may be more susceptible to PRS modification, carrying important genetic counselling and disease prognostication implications for patients. Funding: National Health and Medical Research Council of Australia, Medical Research Future Fund of Australia.

Details

Language :
English
ISSN :
23523964
Volume :
109
Issue :
105404-
Database :
Directory of Open Access Journals
Journal :
EBioMedicine
Publication Type :
Academic Journal
Accession number :
edsdoj.0d0f5424442d4240b5c116f34ead7cf1
Document Type :
article
Full Text :
https://doi.org/10.1016/j.ebiom.2024.105404