Genetic heterogeneity in familial forms of genetic generalized epilepsy: from mono- to oligogenism

Genetic generalized epilepsy (GGE) including childhood absence epilepsy, juvenile absence epilepsy, juvenile myoclonic epilepsy (JME), and GGE with tonic-clonic seizures (TCS) (GGE-TCS), is genetically influenced with a two- to four- fold increased risk in the first-degree relatives of patients. Since large families with GGE are very rare, international studies have focused on sporadic GGE patients using whole exome sequencing, suggesting that GGE are highly genetically heterogeneous and rather involve rare or ultra-rare variants. Moreover, a polygenic mode of inheritance is suspected in most cases. We performed SNP microarrays and whole exome sequencing in 20 families from Sudan, focusing on those with at least four affected members. Standard genetic filters and Endeavour algorithm for functional prioritization of genes selected likely susceptibility variants in FAT1, DCHS1 or ASTN2 genes. FAT1 and DCHS1 are adhesion transmembrane proteins interacting during brain development, while ASTN2 is involved in dendrite development. Our approach on familial forms of GGE is complementary to large-scale collaborative consortia studies of sporadic cases. Our study reinforces the hypothesis that GGE is genetically heterogeneous, even in a relatively limited geographic area, and mainly oligogenic, as supported by the low familial penetrance of GGE and by the Bayesian algorithm that we developed in a large pedigree with JME. Since populations with founder effect and endogamy are appropriate to study autosomal recessive pathologies, they would be also adapted to decipher genetic components of complex diseases, using the reported bayesian model.

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Publication Details

Journal
Human Genomics
Published
2024-11-21
DOI
https://doi.org/10.1186/s40246-024-00659-9
Citations
2
Primary Topic
Genomics and Rare Diseases
Type
article
Field-Weighted Citation Impact
1.10

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article

Genetic heterogeneity in familial forms of genetic generalized epilepsy: from mono- to oligogenism

Bruno Copin, Ammar Ahmed, Maha Dahawi, Sahar Gamil et al.
2 citations
Human Genomics
Genomics and Rare Diseases
1.10
article

Genetic heterogeneity in familial forms of genetic generalized epilepsy: from mono- to oligogenism

Bruno Copin, Ammar Ahmed, Maha Dahawi, Sahar Gamil, Ahmed Khalid Mohamed Ahmed, Julien Buratti, Éric Leguern, Eric Noé, Wasma A. Abdelgadir, Thomas Courtin, Sara Baldassari, Elhami A. Ahmed, Liena E. O. Elsayed, Fatima A. Elmugadam, Julie Bogoin, Mohammed Bashir, Rayan Mamoon Ibrahim Altayeb, Leena Mohamed Khalid, Mohamed S. Elmagzoub, Boris Keren, Grégory Nuel, Mohamed A. Daldoum
article en
2 citations

Abstract

Genetic generalized epilepsy (GGE) including childhood absence epilepsy, juvenile absence epilepsy, juvenile myoclonic epilepsy (JME), and GGE with tonic-clonic seizures (TCS) (GGE-TCS), is genetically influenced with a two- to four- fold increased risk in the first-degree relatives of patients. Since large families with GGE are very rare, international studies have focused on sporadic GGE patients using whole exome sequencing, suggesting that GGE are highly genetically heterogeneous and rather involve rare or ultra-rare variants. Moreover, a polygenic mode of inheritance is suspected in most cases. We performed SNP microarrays and whole exome sequencing in 20 families from Sudan, focusing on those with at least four affected members. Standard genetic filters and Endeavour algorithm for functional prioritization of genes selected likely susceptibility variants in FAT1, DCHS1 or ASTN2 genes. FAT1 and DCHS1 are adhesion transmembrane proteins interacting during brain development, while ASTN2 is involved in dendrite development. Our approach on familial forms of GGE is complementary to large-scale collaborative consortia studies of sporadic cases. Our study reinforces the hypothesis that GGE is genetically heterogeneous, even in a relatively limited geographic area, and mainly oligogenic, as supported by the low familial penetrance of GGE and by the Bayesian algorithm that we developed in a large pedigree with JME. Since populations with founder effect and endogamy are appropriate to study autosomal recessive pathologies, they would be also adapted to decipher genetic components of complex diseases, using the reported bayesian model.

Human GenomicsVol. 18(1)
Princess Nourah bint Abdulrahman University (SA), Centre National de la Recherche Scientifique (FR), Prince Sattam Bin Abdulaziz University (SA), University of Khartoum (SD), Inserm (FR), Al-Neelain University (SD), National Ribat University (SD), Sorbonne Université (FR), Assistance Publique – Hôpitaux de Paris (FR), Shendi University (SD), Sudan Medical Specialization Board (SD), Institut du Cerveau (FR), Laboratoire de Probabilités, Statistique et Modélisation (FR), Imperial College London (GB), Imam Abdulrahman Bin Faisal University (SA), The University of Osaka (JP)
Institut National de la Santé et de la Recherche Médicale, Fondation pour la Recherche Médicale
Openalex Percentile: Top 18%
Genomics and Rare Diseases
1.10
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