Research Article | Vol. 5, Issue 3 | Journal of Neuro and Oncology Research | Open Access |
Ntenga P1*, Touré Kamadore2, Ilunga Kabulo M3, Koba Bora B1, Alain Kasongo3, Numbi Kilumba S1, Bugeme M1, Mukeng KD3, Mulumba A4, Omangelo Shongo F1, Sedar Ceylaner5, Muyumba K1, Monga Ben6, Ngoy Nkulu D1
1University of Lubumbashi, Faculty of Medicine, DRC
2Cheikh Anta Diop University, Dakar, Senegal
3Neurodiagnostic Center of Lubumbashi, Lubumbashi, DRC
4Dr. Joseph Guislain Neuropsychiatric Center of Lubumbashi, Lubumbashi, DRC
5Genetics and Rare Diseases, Diagnosis Center, Ankara, Turkey
6University of Lubumbashi, School of Public Health, DRC, Senegal
*Correspondence author: Patrice Ntenga, University of Lubumbashi, Faculty of Medicine, DRC; Email: [email protected]
Citation: Ntenga P, et al. A Study of the Clinical and Genetic Aspects of Familial Epilepsy. J Neuro Onco Res. 2025;5(3):1-29.
Copyright© 2025 by Ntenga P, et al. All rights reserved. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
| Received 11 September, 2025 | Accepted 08 October, 2025 | Published 15 October, 2025 |
Abstract
Epilepsies are very ancient diseases and the most widespread neurological diseases in the world. They are common conditions that constitute a heterogeneous group from an etiological perspective and, to this day, represent a source of tension between magical and scientific concepts, between superstitious beliefs and rational explanations. Most cases are multifactorial pathologies whose determinism involves environmental and genetic factors, which depend on the epilepsy group considered. The lack of genetic data on this disease in Lubumbashi prompted us to conduct a study on the clinical and genetic aspects of familial epilepsy in Lubumbashi. This study included patients aged 40 years or less who were diagnosed with epilepsy and had a family history of the disease. We performed a stratified probabilistic sampling, which allowed us to collect 72 families. In the first phase, these families were subjected to a cross-sectional analytical study, which led us to find a prevalence of 11.23% for familial epilepsy in Lubumbashi, with a mean patient age of 15.24 years ± 11.03 years and a sex ratio of 1.32 favoring the male sex. Generalized seizures were present in 70.83% of cases and absence seizures in 8.33%. The EEG showed paroxysmal grapho-elements in 35.75% and was normal in 27.78%. Epilepsy was transmitted in an autosomal dominant manner in 41.67% and in a recessive manner in 33.33% and no cases of consanguinity were noted. Five families were subjected to a second phase, a matched case-control study with whole-exome sequencing, which allowed us to highlight genetic variants/mutations. The sequencing data from our study indicated that genetic variants with good phenotype-genetic concordance according to ACMD criteria in cases of idiopathic epilepsy with generalized tonic-clonic seizures are: ATP2B1, SCN3A. The genetic mutations in cases of absence seizures are: CACNA1, NPRL2.
Keywords: Clinical; Genetic; Familial Epilepsy; Lubumbashi
Introduction
State of the Art
Epilepsies, old and widespread neurological diseases, are frequent conditions that constitute a heterogeneous group in terms of etiology. Most cases are multifactorial pathologies in which environmental and genetic factors are involved, depending on the group of epilepsies considered. This makes these diseases a source of tension between magical and scientific conceptions, between superstitious beliefs and rational explanations [1,2].
Incidence and Prevalence
The annual incidence of epilepsy is estimated at about 50 new cases per 100,000 inhabitants/year in industrialized countries, while in developing countries, this figure is higher, ranging from 100 to 190 new cases per 100,000 inhabitants/year [3]. Among the reasons that can explain this difference in incidence are the high risk of cerebral infections (neurocysticercosis, meningitis and malaria), obstetric complications and malnutrition [4]. The average incidence of epilepsy in the Arab world, was estimated through a study at about 56 new cases/100,000 inhabitants/year [5].
According to worldwide studies, the average prevalence of epilepsy is estimated at about 8.2 per 1000 in the overall population [6, 7]. However, this could be an underestimation, as some studies in developing countries (Colombia, Ecuador, India, Liberia, Nigeria, Panama, United Republic of Tanzania and Venezuela) suggest a higher prevalence, greater than 10 per 1000 [8-10].
A multicenter cross-sectional study was conducted in 2012 in Algeria to determine the national prevalence of epilepsy. This study included 8,046 subjects over the age of two months, distributed across five regions of the country (Algiers, Sétif, Sidi Belabes, El Oued and Laghouat). Sixty-seven patients were identified as having active epilepsy, giving a crude prevalence ratio of 8.32 per 1000 (95% CI: 6.34-10.3) and an age-adjusted ratio of 8.9 per 1000. The highest ratio (16.92 per 1000) was noted in the 10-19 year age group [11].
Idiopathic Generalized Epilepsies (IGE) are a common group of epilepsies with a good prognosis, representing 15 to 20% of epilepsy cases. They are characterized by generalized epileptic seizures, including absence seizures, myoclonic seizures, generalized tonic-clonic seizures and myoclonic-tonic-clonic seizures. An EEG can show paroxysmal figures such as generalized spikes/polyspikes-slow waves [12].
In his study on the etiologies of epilepsies in the neurology department of the Marrakech CHU, M. Boanimbek Bakoume Bernard Baudouin (2015) found that generalized onset seizures were present in 80 patients in his study and accounted for 26.67% of seizures. Tonic-clonic seizures were the most common type of generalized seizure, representing 57.5% of generalized seizures. Myoclonias were present in 16 patients (20% of generalized seizures), while absence seizures were present in 14 of his patients (17.5%). Atonic seizures were found in 4 patients (5% of generalized seizures) [13].
Generally, IGEs include four syndromes: Childhood-Onset Absence Epilepsy (CAE), Juvenile Absence Epilepsy (JAE), Juvenile Myoclonic Epilepsy (JME) and epilepsy with Generalized Tonic-Clonic Seizures only (GTCA) [14].
Genetic Aspect
There is a broad consensus that the majority of otherwise unexplained epilepsies are due at least in part to genetic factors. As a result, genetic testing for patients with epilepsy has also evolved to include many clinically available testing options, including genome-wide comparative genomic hybridization/Chromosomal Microarray (CGH/CMA), Multigene Panel (MGP), Exome Sequencing (ES) and Genome Sequencing (GS). These tests are used to determine copy number and sequence variants involving epilepsy-related genes [15].
Already in his time, Szepetowski (2000) had shown that the etiologies of epilepsies and epileptic seizures were varied and resulted from a combination of genetic or acquired factors. In those that are genetically determined, exogenous factors favor the expression of the disease [16]. Similarly, genetic factors govern the epileptogenic potential of structural lesions of the central nervous system and thus the essential etiological factor of idiopathic epilepsy syndromes is a genetic predisposition. In this context, Elsa Rossignol (2019) showed in her study that epilepsy was an etiologically heterogeneous condition, so it was essential for her to better understand the epileptogenic cellular and physiological mechanisms that underlie the various early-onset epilepsy syndromes refractory to current treatments, which remain poorly understood, in order to develop new therapeutic approaches [17].
The studies of Sheidley BR, et al. and Truty R, et al., showed a growth in cases of genetic epilepsies for which a specific treatment or a change in management is indicated [18,19]. Advances in genetic testing over the past decade have led to a rapid increase in the understanding of the genetic basis of epilepsy. Although the first epilepsy-associated genes were identified in 1995, until the past decade, few causal or susceptibility variants had been confirmed. The emergence of tables and New-Generation Sequencing (NGS) technologies has led to the identification of hundreds of epilepsy-associated variants and genes.
In Algeria, in her work on the search for genetic vulnerability variants to epilepsy in Algerian families, Amina Chentouf showed that among sixty-five epileptic families, the average age of onset of the disease was 9.5 ± 6.1 years, with a slight male predominance (sex ratio: 1.35) [20]. Generalized seizures were slightly more frequent than focal seizures (50% vs. 40%), with a parental consanguinity rate of 50%. A phenotypic concordance was observed in 2/3 of the families. Based on the pedigree analysis, epilepsy was transmitted in an Autosomal Dominant (AD) mode in 29 families (44.6%) and in an Autosomal Recessive (AR) mode in 23 families (35.4%). Genetic analyses identified mutations of the EPM1 gene in patients with progressive myoclonic epilepsy and a mutation of the RELN gene in individuals with temporal lobe epilepsy.
Despite new exploration techniques, the etiology of epilepsies remains unknown in nearly 2/3 of cases [3,21]. Over the past three decades, several case-control studies aimed at identifying risk factors associated with epilepsy have been conducted (Edwards T, et al. [8]. Although these studies have identified a series of factors, the results were very heterogeneous, ranging from perinatal complications to head trauma, including strokes, brain tumors and central nervous system infections [22,23].
The studies by Marini C, et al. and Vadlamudi L, et al., showed that genetic factors play important roles in the pathogenesis of IGE with complex transmission [24,25]. Similarly, Sheidley BR, et al., 2018 and Truty R, et al., showed in their study a growth in cases of genetic epilepsies for which a specific treatment or a change in management is indicated [18,19].
Advances in genetic testing over the past decade have led to a rapid increase in the understanding of the genetic basis of epilepsy. Although the first epilepsy-associated genes were identified in 1995, until the past decade, few causal or susceptibility variants had been confirmed. The emergence of tables and New-Generation Sequencing (NGS) technologies has led to the identification of hundreds of epilepsy-associated variants and genes.
For their part, Weber YG, et al. and Liu XR, et al., 2021were able to identify several genes in their studies on idiopathic epilepsies, including CACNA1H, CACNB4, CASR, EFHC1, GABRA1, GABRB3, GABRG2, HCN2, ICK, KCNMA1, SLC2A1 and SLC12A5 (OMIM, https://www.omim.org/), which represent a small proportion (2 to 8%) of IGEs. With the application of whole-exome sequencing, an increasing number of genes and variants have been identified in patients with IGE [26,27].
Problem Statement A multicenter cross-sectional study was conducted in 2012 in Algeria to determine the national prevalence of epilepsy. This study included 8,046 subjects over the age of two months, distributed across five regions of the country (Algiers, Sétif, Sidi Belabes, El Oued and Laghouat). Sixty-seven patients were identified as having active epilepsy, giving a crude prevalence ratio of 8.32 per 1000 (95% CI: 6.34-10.3) and an age-adjusted ratio of 8.9 per 1000. The highest ratio (16.92 per 1000) was noted in the 10-19 year age group [11].
In his study in Pointe Noire on the Clinical, Etiological and Therapeutic aspects of Infant and Child Epilepsy, Sounga Bandzouzi et al. (2021) [28] found that thirty-two (82.1%) of infants and children had idiopathic generalized epilepsy, of which 28 (87.5%) had epilepsy with generalized tonic-clonic seizures and four (12.5%) had absence epilepsy. Of the seven infants and children with focal epilepsy, five (71.4%) had epilepsy with centro-temporal spikes (EPCT), while epilepsy with frontal seizures was observed in two participants (28.6%).
Ntenga P, et al., in their studies on epilepsy and the school attendance rate in Congolese children, showed that in 41% of cases, children living with epilepsy had a family history of epilepsy and that their average age was 9.6 ± 3.9 years, with an average age of seizure onset of 5.8 ± 3.0 years. This percentage of family history of epilepsy, i.e., 41% of cases, could have a genetic character in Lubumbashi [29].
In a study by Zhi-Jian, et al., on trio-based whole-exome sequencing, performed on 60 cases with Idiopathic Generalized Epilepsy (IGE), the pathogenicity of candidate genetic variants was evaluated according to the American College of Medical Genetics and Genomics (ACMG) criteria and the clinical causality was evaluated by the concordance between the observed phenotype and the reported phenotype [30]. Seven candidate variants were detected in seven unrelated IGE cases (11.7%, 7/60). According to ACMG, a de novo SLC2A1 variant (c.376C>T/p.Arg126Cys) identified in infantile absence epilepsy was evaluated as pathogenic with clinical concordance. Six variants were evaluated as being of uncertain significance by ACMG but then considered causal after evaluation of clinical concordance. These variants included the hemizygous CLCN4 variant (c.2044G>A/p.Glu682Lys) and the heterozygous IQSEC2 variant (c.4315C>T/p.Pro1439Ser) in juvenile absence epilepsy, the EFHC1 variant (c.1504C>T/p.Arg502Trp) and CACNA1H (c.589G>T/p.Ala197Ser) both with incomplete penetrance in juvenile myoclonic epilepsy and the GRIN2A variant (c.2011C>G/p.Gln671Glu) and the GABRB1 variant (c.1075G>A/p.Val359Ile) co-segregating with juvenile myoclonic epilepsy. Among these variants, GABRB1 was identified for the first time as a new potential causal gene for IGE.
Hereditary neurological diseases, including epilepsy, remain a debilitating disease and developing countries pay the highest price in terms of disability-adjusted life years. Despite the vast diversity of its populations, genetic studies in Africa, including the Democratic Republic of Congo and the city of Lubumbashi in particular, are limited and therefore there is an absence of genetic characteristics of epilepsy despite the high prevalence of the disease. This motivates us to conduct this type of work in Lubumbashi to understand the related specificities and provide a solution.
With the advent of next-generation sequencing technologies, the last decade has seen an explosion of responsible genes identified in patients with epilepsy and neurodevelopmental disorders; currently, more than 40 genes are considered true causes of genetic epilepsies, given that pathogenic variants of these genes are regularly identified in epileptic patients in a clinical and research context. The landscape of genetic testing is extremely diverse, ranging from targeted tests including monogenic tests to exome or genome sequencing. Targeted gene panel approaches for epilepsy are just as diverse, with some focusing on authentic primary epilepsy-causing genes and other broader gene panels often including genes related to syndromic disorders or candidate genes related to epilepsy due to their cellular and functional roles [31].
Despite the availability of an increasing number of antiepileptic drugs, up to 30% of people with epilepsy have treatment-resistant seizures; this has a significant impact on quality of life and exposes patients to a risk of various comorbidities and complications, including death [32]. Epilepsy can develop in the context of structural brain changes, such as injuries or malformations. However, in a significant proportion of patients, no structural alteration can be identified by neuroimaging [15]. Twin studies demonstrate a strong genetic contribution to various types of epilepsy and family studies suggest a strong genetic influence at the population level [33].
The Clinical Genome Resource (ClinGen) gene curation expert group offers such a mechanism by providing an evidence-based framework for evaluating the clinical validity of specific gene-disease associations using available genetic and experimental evidence. The evaluation of available genetic evidence at the case level and in this regard, the underlying genetic architecture of early-onset epilepsies, with a strong contribution of de novo variants. In the study by Rehm, et al., eight of the 16 genes in their pilot curation phase obtained a maximum genetic evidence score of 12 points in the existing ClinGen gene curation framework, suggesting that sufficient genetic evidence according to ClinGen criteria is easily obtained for both well-established genetic causes of epilepsy, including SCN8A and KCNQ2 and more recently involved genes such as KCNA2 and ALG13 [34].
It was reported in 2023 that nearly 80% of the 50 million people living with epilepsy live in low-income countries, including the Democratic Republic of Congo (DRC) and this situation represents a heavy health and socioeconomic burden because the gaps in etiological diagnosis and therapeutic coverage exceed 75%. In Africa, particularly in the part south of the Sahara, disease studies are limited to clinical descriptions, which alone do not allow for a diagnosis and determination of the genetic specificity of hereditary pathologies, especially epilepsy and for providing targeted therapies and counseling to patients and their families.
Therefore, although several genes have already been associated with epilepsy, it is still important to find new genes and/or genetic variants to deepen the understanding of this disease in our context and guide the implementation of new therapeutic modalities in our communities. As a result, we believe that the African population still holds a vast genetic diversity that could lead to phenotypic variability compared to other populations, as questions arise about the reason for antiepileptic treatment resistance in a patient followed for epileptic seizures that are well classified in a syndrome defined by the International League Against Epilepsy. This often forces the clinician to change antiepileptic drugs several times and fall into the therapeutic trial-and-error ladder in our communities and therefore we understand the importance of recent advances such as new genotyping techniques and whole-exome or genome sequencing that have accelerated the speed of DNA sequencing and greatly facilitated the discovery of disease genes through positional cloning, which allows for rapid identification of the causes of hereditary diseases and the discovery of mutations in populations to guide the treatment in patients living with epilepsy.
Research Question
As this literature review shows in its heterogeneous aspect, the Democratic Republic of Congo and the city of Lubumbashi in particular do not escape this reality where we note the absence and/or ignorance of the genetic factors and/or characteristics of epilepsy, which unfortunately contrasts with the high prevalence of the disease and leaves the clinician perplexed about the management of epilepsy when treatment is initiated and the patient continues to have epileptic seizures. Considering the impact of the north-south geographical gradient, we ask ourselves whether there are other types of genetic mutations and/or genetic variants related to epilepsy found in Lubumbashi, DR Congo or are they the same as those described in the literature?
Hypothesis
Given that there is a diversity of epilepsy genes and clinical phenotypes and in view of the geographical gradient in the pathogenesis of epilepsy, we hypothesize that there would be other types of genetic mutations related to epilepsy in Lubumbashi, whose molecular description would improve the understanding of this disease and its management in our population and could reduce this burden.
Objectives and Interest of the Work
Objectives
General Objective: The general objective of our study is to:
Specific Objectives: Specifically, in this study, we want to:
Choice and Interest of the Work
Methodology
Framework and Study Location
Our investigations are conducted at the Joseph Guislain Brothers of Charity Neuropsychiatric Center of Lubumbashi, the University Clinics of Lubumbashi and the Jason Sendwe Provincial General Reference Hospital of Lubumbashi.
Study Type
Synthetic table of studies carried out in this work (Table 1).
Specific Objectives | Study Type | Population Studied |
1. Specific Objective Determine the phenotypes of familial epilepsy and its correlation with the genotypes encountered in Lubumbashi | A cross-sectional analytical study on patients living with epilepsy with a family history of epilepsy in Lubumbashi | 72 patients were collected. |
2. Specific Objective Determine the types of genetic mutations and/or genetic variants in patients with familial epilepsy in Lubumbashi. | A matched case-control study (trio study: 1 case for 2 controls) of patients living with epilepsy with a family history of epilepsy. | 5 matched families or 15 samples |
Table 1: Synthetic table of studies.
This study spanned a period from October 2020 to October 2024, which included epilepsy cases that presented for consultation during the study period. The case subject is the selected epileptic person. The exposure is the presence of a gene predisposing to epilepsy (reference gene). The control is a parent, brother, sister, first cousin or grandparent of the epileptic person. We reconstructed the family tree up to 3 generations:
Study Population
Patients aged 40 years or younger with epilepsy and their families received at the aforementioned investigation sites, with a notion of familial epilepsy discovered or reported during the consultation, were considered as potential candidates for this study.
Sample
We performed a stratified probabilistic sampling during this study for the selection of subjects who participated in it.
Inclusion Criteria:
Non-inclusion Criteria
Genetic pathologies in which epilepsy is not the essential symptom, such as Trisomy 21, were excluded from this study. Any epileptic or control subject with a hemoglobin level below 8 g% was also excluded (because this level could create a predisposition to generate a convulsive seizure and create a selection bias).
Data Collection Material
Data was collected and stored on data collection forms. At the end of each week, we systematically verified all the completed forms to ensure that they were properly filled out and to correct any errors the same day or the next day by re-consulting the files or registers. The family tree is established for the patient to see the recessive (if there is a generation skip) or dominant (disease present in each generation) nature.
Definition of Concepts
Data Collection Method
The questions are open-ended. The patient themselves and/or the parents and/or companions of people living with epilepsy are subjected to the same questionnaire (see appendix). This was completed by a clinical examination, which will allow us to reduce selection bias.
Study Phases:
Number of Visits and Subject Time Commitment
This protocol was initially implemented during the neurological consultation that was carried out at the aforementioned structures. Families were contacted by phone by a counselor or by the investigator for the collection of additional information on family history and access to the study.
Chronological Order of Study Procedures
Complete medical histories were gathered for each individual. This included information concerning pregnancy, childbirth, developmental stages and neurological disorders. Multigenerational family histories were obtained by establishing the family tree up to 3 generations. Invasive procedures were limited to blood collection (3.5 ml) using a 5 cc syringe with a fixed or winged needle. These samples were stored at -20°C with a laboratory refrigerator in 10 cc EDTA blood collection tubes after collection using P-10, P-100 micropipettes. The other selected controls were subjected to the same investigations only after they had completed the informed consent process. No therapeutic medication will be administered.
Laboratory Exome Sequencing Protocol
The samples are genetically analyzed at the Intergen Genetics and Rare Diseases Diagnosis Research and Application Center Co. Ltd. Address: Mustafa Kemal Mah. 2119. Sokak No: 5 Çankaya/ANKARA Central Registry Number: 047801464 2900016 Tel: +90 312 428 48 14 – Fax: +90 312 428 26 93 – www.intergen.com.tr – [email protected] Document No: INT.KGE.FRM.21 24.08.2021 Rev.Date / No: –/00
The analysis is performed to identify and characterize new epilepsy genes in Lubumbashi to explain the clinical (phenotypes) and genetic characteristics of the patients. These genes could probably be important in the normal function of the nervous system and also have important pathophysiological implications, as well as modifying the concept of epilepsy management not only in our community but also in other populations. Only observations with potential clinical significance for the phenotype are reported. Incidental findings are reported only if clinical action is necessary. Heterozygous variants of patients living with epilepsy are reported only at the request of the family. Only variants classified as pathogenic or likely pathogenic according to ACMG criteria are included in the report, whether they are incidental findings or heterozygous variants associated with epilepsy. Variants of Uncertain Significance (VUS) are reported only if they are relevant to the clinical indication. A Variant of Uncertain Significance (VUS) is on the verge of being classified as pathogenic if it is supported by evidence such as high scores on prediction tools, low frequency in the population, relevant bibliographic data and a strong clinical correlation with the preliminary diagnosis.
During the test, the DNA was first fragmented into small pieces, then enriched for exon and exon-intron junction regions, which are the most frequently altered regions of human DNA, allowing for the detection of monogenic diseases. DNA isolation was performed using standard French protocols. Genetic library preparation and exome enrichment were carried out using the TWIST human Comprehensive Exome kit. The enriched libraries were sequenced on the MGIT 7 instrument using PE150-FCL.12, 5 Gbp cartridges, which represents an average target coverage of 100 to 120x. The data were submitted to the GATK (Genome Analysis Toolkit) best practices workflow at the Intergen Genetics Center in Ankara, Turkey.
The raw reads were aligned to hg38 using bwa men 0.7.17. Then, the steps of duplicate marking and base recalibration were performed by GATK4. Variant calling was performed using two distinct algorithms, GATK UnifiedGenotyper and GATK HaplotypeCaller and both were complementary (Van Der Auwera et al. 2013). “GATK practices” refers to the “Best Practices” of GATK. These are bioinformatics protocols and pipelines carefully documented and optimized by the Broad Institute to maximize the accuracy and reproducibility of variant detection. These practices cover all steps, from the initial processing of raw sequencing data to obtaining a reliable list of genetic variants. Low-quality variants from two sets were eliminated based on read depth strand bias and quality parameters using the GAT SelectVariants option [35].
Key Stages Recommended by the Broad Institute
Study Parameters
Sociodemographic Characteristics:
Clinical Parameters:
Paraclinical Parameters:
Statistical Studies
Data were collected and entered using Epi InfoTM version 7.2.1.0 and SPSS software. Univariate analysis was used to calculate the frequency in terms of percentage for qualitative variables. The calculation of the mean, median and standard deviation was used for the analysis of quantitative variables. Bivariate analysis was used to compare the means according to the distribution of sociodemographic, clinical and paraclinical characteristics. The chi-squared test will be performed. The Odd Ratio (OR) with a 95% Confidence Interval (CI) and a significance was set for OR > 1 and a p < 0.01 to find the link between the variables.
Definition of the Disease, Exposure and Sequencing Procedure
Ethical Considerations
The completion of this thesis, through the different stages carried out, respected the ethical principles guiding all scientific research. We took into account the four bioethical principles: autonomy, justice, non-maleficence and beneficence [38,39]. We obtained authorization from the Medical Ethics Committee of the University of Lubumbashi by letter referenced No: Approval: UNILU/CEM/2024/2018, issued on 01/23/2024. All study participants gave their informed consent to the survey team before the administration of the questionnaire and the collection of blood samples, either directly (adults) or indirectly (parents and/or companions of children). Participation in this study did not present any direct benefit for the patients living with epilepsy or their matched family members at the time of the study; however, the results stemming from this study could benefit other people in the same conditions. The principles of respect for research integrity guided the completion of this work through the different phases [40].
Study Limitations
Given that genetic analyses are expensive, it will not be possible to sequence all 72 patients to be matched with 2 other controls, for a total of 216 samples. Only 5 families are sequenced with their 2 matches total 15 samples, to present the first informative results; the others would only be sequenced if significant funding is obtained. Another limitation is the refusal by many families to allow blood to be drawn for analysis outside the country due to mystico-religious considerations.
Results
The results of the present study concern both the general characteristics of the sample and those of the family tree. The first part concerns the prevalence of familial epilepsy in Lubumbashi, the average age of patients and their sex.
Prevalence
This Fig. 1 shows the percentage of familial epilepsy cases within the sample.
It appears from this figure that familial epilepsy is present at Lubumbashi in 11.23%.

Figure 1: Prevalence of familial epilepsy.
Age and Sex Table 1. Distribution of patients by mean age.
The mean age and median of patients with a history of familial epilepsy are shown in the following Table 2.
Age Moyen Des Patients | |||
Obs | Mean 15,24 ans | Std Dev | |
72 | 11,03 | ||
Median | Mode | ||
25% | 14 ans | 75 % | 17 Ans |
7 years | 20 years | ||
Table 2: Mean age of patients.
It appears from this table that the patients had a mean age of 15.24 ± 11.03 years, with a median of 14 years, 7 years at the 1st quartile and 20 years at the 3rd quartile. The distribution of patients according to their sex is shown in the Fig. 2 below.
It emerges from this Fig. 2 that the sex ratio is 1.32, in favor of men.

Figure 2: Distribution of patients by sex.
Distribution According to Other Parameters
Table 3-5 and Fig. 3-7 present other types of patient distribution.
Type of Seizure | n | % |
Partial seizure secondarily generalized | 3 | 4,17% |
Complex partial seizure | 3 | 4,17 |
Myoclonic | 3 | 4,17 |
Atonic seizure | 3 | 4,17 |
Tonic seizure | 1 | 1,39 |
Absence seizure | 6 | 8,33% |
Generalized tonic-clonic seizure Simple partial seizure | 51 2 | 70,83% 2,78% |
Total | 72 | 100 |
Table 3: Distribution of patients according to seizure types.
We observe from this table that generalized tonic-clonic seizures were the most common with 70.83% of cases, followed by absence seizures with 8.33% of cases. The frequency of other seizures ranged between 1.39% and 4.17% of cases. The EEG results in patients with a family history of epilepsy are shown in Fig. 3 below.
Our results show that EEG was performed in the majority of patients (63.49% of cases) and was normal in 27.78% of cases and abnormal (presence of paroxysmal grapho-elements) in 35.71% of cases. The non-performance of this examination represented 38.57%.

Figure 3: According to EEG results.
Furthermore, the results of the patients’ therapeutic journey, shown in Fig. 4, indicate that in 48.61% of cases, patients had followed a drug treatment before arriving at the hospital and that traditional treatment (36.11%) and prayer (9.72%) accounted for a total proportion of 45.83%.
In Figure 4, we considered the autosomal dominant and autosomal recessive modes.
We deduce from this figure that epilepsy is transmitted in the autosomal dominant mode in 41.67% of cases and in the autosomal recessive mode in 33.33% of cases.

Figure 4: Distribution of patients according to the mode of transmission by pedigree.
The results regarding the notion of consanguinity between the parents of patients living with epilepsy are shown in Fig. 5-7, indicating that no patient resulted from a consanguineous marriage.

Figure 5: Distribution of patients according to the notion of consanguinity between the parents of patients living with epilepsy.
Distribution of patients according to two associated parameters.
| Types of Seizures | ||||||||||||||||
| ABSENCE | CGTC | ATONIC | P.C | P.S.G | P.S | TONIC | MYOCLONIC | TOT
72
| ||||||||
F | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
2 | 6,45 | 20 | 64,5 | 2 | 6,45 | 1 | 3,23 | 2 | 6,45 | 2 | 6,45 | 1 | 3,23 | 1 | 3,23 | ||
M | 4 | 9,76 | 31 | 75,6 | 1 | 2,44 | 2 | 4,88 | 1 | 2,44 | 2 | 4,88 | |||||
6 | 51 | 3 | 3 | 3 | 2 | 1 | 3 | ||||||||||
CGTC: Generalized Tonic-Clonic Seizures, PC: Complex Partial Seizure, PS: Simple Partial Seizures, F: Female, M: Male. | |||||||||||||||||
Table 4: Distribution of patients according to sex and seizure type.
Reading this table shows us that generalized tonic-clonic seizures are present in considerable proportion in both sexes (64.5% of cases for females and 75.6% of cases for males) followed by absence seizures in males with 9.76% of cases, for a corrected chi-square of 6.1.
According to Mode of Transmission and Seizure Type
Types of Seizures | |||||||||||||||||
ABSENCE | CGTC | ATONIC | P.C | P.S.G | P.S | TONIC | MYOCLONIC | TOT | |||||||||
n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | ||
TD | 2 | 6,45 | 21 | 70 | 2 | 6,45 | 2 | 6,45 | 2 | 6,45 | 1 | 3,33 | |||||
TR | 3 | 12,5 | 15 | 62,5 | 1 | 4,17 | 1 | 4,17 | 2 8,33 | 1 4,17 | 1 | 4,17 | |||||
IN | 1 5,56 | 15 83,3 | 1 5,56 | 1 5,56 | |||||||||||||
TOT | 6 | 51 | 3 | 3 | 3 | 2 | 1 | 1 | |||||||||
TD: Dominant Transmission; TR: Recessive Transmission; ID: Undetermined | |||||||||||||||||
Table 5: Distribution of patients according to mode of transmission and seizure type.
It appears from this table that CGTC are transmitted in 70% of cases according to the autosomal dominant mode and in 62.5% of cases according to the autosomal recessive mode, while absence seizures are transmitted in 12.5% of cases according to the autosomal recessive mode, with a corrected chi-square of 11.46.
Sequencing Results
Presentation of Sequenced Cases Based on Pedigree and Exome Sequencing Results (Fig.5,6)

Figure 5: Presentation of Sequenced Cases Based on Pedigree.

Figure 6: Presentation of exome sequencing.
Sequencing Result
Presentation: Sequencing Information Sheet for Family 1

Age of seizure onset: 2 years.
Seizure type: CGTC (Generalized Tonic-Clonic Seizure)
Therapeutic protocol: Monotherapy: DPK

Pedigree 3: Presentation of sequenced Family 1.
Sequencing Result
Presentation: Sequencing Information Sheet for Family 2

Age of seizure onset: 2 years
Seizure type: ABSENCE
Therapeutic protocol: Bitherapy: DPK + KEPPRA

Pedigree 4: Presentation of sequenced Family 3.
Sequencing Result
Presentation: Sequencing Information Sheet for Family 2

2A: Sex: F, 18 years old, student
Age of seizure onset: 9 years
Seizure type: ABSENCE
Therapeutic protocol: Bitherapy: DPK

Sequencing Result
Presentation: Sequencing Information Sheet for Family 4

In Table 6,7, we present the results of the sequenced families in the first and those evaluating the clinical validity of specific gene-disease associations (concordance) ACMG in the second, respectively.
Family Code | Gène – variant | Genomic Coordinates | Read Frequency and Variant Fraction | Allele Frequency | Bibliographic Reference | Zygosity | Criteria | |
3 | 3A | CACNA1INM_021096.4c.2059A>G p. (Met687Val) | chr22-39658218A>G | 116,97-45% | 0,0001% | PMID (PubMed Identifier) | Heterozygous | ACMG |
3B | Idem | Heterozygous | ||||||
3C | Idem | Heterozygous | ||||||
4 | 4A | ATP2B1;NM_001366521.1 c3356G>Ap.(Arg1119Gln) | chr12-89591291C>T | 43,41-49% | 0,0001% | PMID | Heterozygous | ACMG |
4B | Idem | Heterozygous | ||||||
4C | Idem | Heterozygous | ||||||
1 | 1A | SCN3A;NM_006922.4 c.5164_5166delins AAG p.Al1722Lys) | chr2-165090987TGC>CTT | 137,135-50% | PMID | Heterozygous | ACMG | |
1B | Idem | Heterozygous | ||||||
1C | No mutation | Normal | ||||||
2 | A | NPRL2; NM_006545.5 c171-9 A>G(IVS2-9A>G) | chr3-50349842 T>C | 86,99-54 % | 0,0013% | PMID | Hétérozygote | ACMG |
B | Idem | Hétérozygote | ||||||
C | Idem | Hétérozygote | ||||||
Table 6: Sequencing results by family.
Genetic Mutation Type | ||||
Evidence to evaluate the clinical validity of specific gene-disease associations (concordance) ACMG | ||||
Auteurs | ||||
Seizure Type | Ntenga P | phenotype-genotype concordance.” | Other Authors: | |
ABSENCE | CACNA1INM_021096.4c.2059A>G p. (Met687Val) NPRL2 ;NM_006545.5 c171-9 A>G(IVS2-9A>G) | YES | YES NO | Zhi-Jian, et al., 2023 SLC2A1 c.376C>T/p.Arg126Cys) |
Idiopathic GTCS | ATP2B1;NM_001366521.1 c3356G>Ap.(Arg1119Gln) | YES | NO | Zhi-Jian et al, 2023 IQSEC2 c.4315C>T/p.Pro1439Ser) Elena Poggio (2022), Soumya et al. (2022), Rahimi (2022) Trouble Comp + Epilep |
SCN3A;NM 006922.4 c.5164_5166delins AAG p.Al1722Lys | YES | NO(CGI) | Liu XR, et al., 2021 Rehm, et al., 2015. SCN8A, KCNQ2, KCNA2 ALG13, CACNA1H HCN2, SLC12A5KCNMA1, SLC2A1 | |
Table 7: Presentation of results based on phenotype (clinical) – genetic concordance.
Discussion and Description of the Genes Found
General characteristics of the sample.
Our study collected 72 families with a history of familial epilepsy out of a total of 641 patients diagnosed with epilepsy, representing a prevalence of 11.23%. This result is consistent with findings from other authors, such as M. Ndiaye et al. in Senegal, who reported a general frequency of familial epilepsy at 11%.
A similar finding was made by Kuate-Tegueu Callixte in Cameroon in 2014, who found that over half (57.1%) of patients living with epilepsy had a family history of the condition. Of these, 11.4% had two family members with epilepsy and 10% had three or more family members affected by the disease [41].
Lamine Thiam in Senegal (2020), in his study on the clinical and paraclinical aspects of idiopathic childhood epilepsy, showed that out of 18 children followed for idiopathic epilepsy, parental consanguinity and family history of epilepsy were found in 1 and 6 children, respectively (5.5% and 33.3%) [42]. Our study’s prevalence of 11.23% without any notion of parental consanguinity (Fig. 5) suggests an inherited nature that needs to be demonstrated. For many years, the role of ion channels in epilepsy has been suspected based on physiological arguments, as ion channels (Na+, K+) are responsible for generating action potentials and many anti-epileptic drugs act directly or indirectly on their function. Recent molecular genetics data have confirmed this role, with studies of familial epilepsy forms implicating genes that code for subunits of ion channels or receptor channels [43]. In their studies on epilepsy, a family history of the disease was found to be 2 to 3 times more common in patients with epilepsy than in controls [44-46]. Literature has shown that consanguineous marriages are common in some cultures in Asia, particularly in Indian or Muslim communities. In one study in India, consanguineous parents were more frequent among patients than controls (13.1% vs. 6.6%) (2.6; 95% CI: 1.5-4.4). The association with consanguinity is stronger in generalized epilepsies than in localized ones and in idiopathic or cryptogenic epilepsies than in symptomatic ones [45,47].
As shown in Table 2 and Fig. 2, the average age at diagnosis for patients with epilepsy in our cohort is 15.24±11.03 years, with a maximum of 20 years for 75% of cases and a mode of 17 years. Zubcevic reported an average age at diagnosis of 5 years. Many other studies report a high frequency of seizures with a hereditary character in children [48-50]. In their studies, Dadah Samy Mohamed Lemine, et al., in Senegal and Mukuku O, et al., in the DR Congo reported an average age of patients with epilepsy around 8 years in Senegal, with a peak in the 5 to 10-year age group [51]. A male predominance was also observed in our study with a sex ratio of 1.32. This male predominance could be explained by a possible neurobiological difference between the neurons of male and female subjects, leading to different responses to brain injuries [51]. This male overrepresentation could also be explained in our communities by the underreporting of the disease in young women of marriageable age. Amina Chentouf, et al., in Algeria found a sex ratio of 1.35 in favor of the male sex in their study on the clinical characteristics and hereditary profiles of epilepsies, with no mention of X-linked transmission. [20].
We found that generalized tonic-clonic seizures were the most common, accounting for 70.83% of cases, followed by absence seizures with 8.33% of cases. The frequency of other seizures ranged from 1.39% to 4.17%. In his study on epilepsy and schooling in Congolese epileptic children, Ntenga Parice, et al., [29]. found that generalized tonic-clonic seizures were the most frequent, with 41.7% and a p-value of 0.04, followed by absence seizures with 33.3% and a p-value of 0.67. The high representation of generalized tonic-clonic seizures could be justified by their dramatic and easily recognizable nature, as well as by the population’s lack of awareness of other non-convulsive seizure manifestations. This same finding has been made in most studies conducted in Africa [51,20].
Genetic Section
We observed from Figure 4 that the autosomal dominant mode of transmission accounts for 41.67% of cases, while the autosomal recessive mode of transmission accounts for 33.33% of cases. This result contradicts that of MEFOUNG Ephrata Samuel (2021) [52], for whom the autosomal recessive mode of transmission represented more than half of the cases. However, our results are consistent with a study conducted in Algeria (2015) by Chentouf A, et al., who found a high prevalence in favor of the autosomal dominant mode [20].
These differences could be justified by the different sample sizes, which are not large enough to characterize a distribution on a national scale and determine the predominance of one mode of transmission over another.
Gene ATP2B1 [53-55]
The ATP2B1 gene codes for PMCA1 (Plasma Membrane Calcium ATPase 1), a calcium pump located in the plasma membrane of our cells. Its main physiological role is to maintain intracellular calcium homeostasis, precisely regulating the concentration of calcium inside cells.
This is a missense mutation, resulting in a single amino acid change. The severity of the impact depends on the nature and position of the amino acid. The replacement of the basic, polar Arginine with a polar but uncharged Glutamine could potentially alter the structure or function of the protein. The location of Arginine at position 1119 is in an important region of the PMCA1 protein. Studies have shown that missense mutations in this gene, especially those affecting key functional domains, can significantly decrease the calcium pump’s ability to export calcium from the cell. The neurological consequences of ATP2B1 mutations are attributed to the disruption of intracellular calcium regulation in neuronal cells. Calcium is a vital secondary messenger involved in many neuronal processes. The main neurological consequences are:
Discussion of the ATP2B1 Gene [55,56].
Frequency and Phenotypes of Mutations in Epilepsy
Mutations in the ATP2B1 gene are a very rare cause of epilepsy. In contrast to genes like SCN1A or KCNQ2/3, which are mutated in a significant proportion of cases (for example, SCN1A is responsible for 35% of Dravet Syndrome cases), the contribution of ATP2B1 is minimal. This explains why it is often associated with rare neurodevelopmental syndromes. A 2022 study identified de novo variants of ATP2B1 in a cohort of 12 individuals with neurodevelopmental disorders, among whom 6 individuals (50%) presented with epileptic seizures of different forms [55].
Gene CACNA11
Physiology to Pathology of the Identified Gene
Physiological Roles of the CACNA11 Gene
Consequence of the Mutation in the CACNA11 Gene
A mutation in the CACNA11 gene can lead to a neurodevelopmental disorder with speech problems and with or without seizures. According to a recent study, 87% of patients with CACNA1A gene mutations were diagnosed with epilepsy and these mutations could lead to a wide range of seizure phenotypes.
Mechanisms Underlying Epilepsy in Case of Mutation
The CACNA1H gene codes for the alpha-1H subunit of the T-type calcium channel (also called Cav3.2). These channels play a crucial role in neuronal excitability, particularly in the thalamus, a brain region involved in generating cortical rhythms and seizures, especially absence seizures.
Mechanisms Underlying Epilepsy in Case of CACNA1H Mutation c.2059A>G p. (Met687Val)
The specific mutation is a missense mutation that leads to the substitution of Methionine with Valine at position 687 of the Cav3.2 protein. The mechanisms by which “gain of function” mutations like this one contribute to epilepsy are mainly related to an increase in neuronal excitability:
Discussion of the CACNA1A gene [61,62].
Frequency and Phenotypes of Mutations in Epilepsy
The CACNA1A gene mutation is a rare cause of epilepsy. Its frequency in the general epileptic patient population is very low. Available data primarily comes from cohorts of patients with rare epilepsies or epileptic encephalopathies, where the percentage is higher.Furthermore, the rarity of these mutations contrasts with that of genes more commonly associated with epilepsy, such as SCN1A (linked to Dravet syndrome), where the mutation rate can reach 35% in familial cases.
Gene SCN3A; NM_006922.4 c.5164_5166delinsAAG p. (Ala1722Lys)
These channels are crucial for generating and propagating action potentials in neurons and muscle cells.
Mutations in the SCN3A gene are responsible for a range of neurological conditions called SCN3A-related neurodevelopmental disorders (SCN3A-NDD). These complications can vary in severity:
Gene G6PD; NM_001360016.2 c.202G>A p. (Val68Met) [67-70].
This variant is classified as Pathogenic with low penetrance. This indicates strong evidence that this variant is a direct cause of a disease.
Although the most well-known consequences of G6PD deficiency are hematological (hemolytic anemia, neonatal jaundice), neurological complications can occur, particularly in severe cases or specific contexts.
The NPRL2 Gene, NM_006545.5 c171-9 A >G (IVS2-9 A>G) [73-75]
Definition: The NPRL2 gene (for “Nitrogen Permease Regulator-Like 2”) is an important gene in the human body.
Physiology
Meaning of the Variation NM_006545.5 c.171-9 A > G (IVS2-9 A>G): This variation signifies a change from an adenine (A) to a guanine (G) at the 9th nucleotide position upstream of the beginning of exon 2 (or intron 2) of the NPRL2 gene. This type of intronic variation is particularly important because it can affect RNA splicing.
Underlying Mechanisms of Epilepsy in the Case of an NPRL2 Mutation [76-78]
The NPRL2 gene is a subunit of the GATOR1 protein complex, which is a crucial negative regulator of the mTORC1 signaling pathway.
Therapeutic Options
Since mTORC1 pathway hyperactivation is the key mechanism of epileptogenesis in GATORopathies, mTOR inhibitors are the most promising therapeutic target.
Conclusion
Our study of the clinical and genetic aspects of familial epilepsy revealed that:
Recommendations
Conflict of Interest
The investigators declare no material or financial conflict of interest related to this study.
Funding Sources
The completion of this thesis was made possible thanks to the support of the Intergen Genetic Diagnosis Center in Ankara, Turkey and the Neurodiagnostic Center of Lubumbashi.
References
Ntenga P1*, Touré Kamadore2, Ilunga Kabulo M3, Koba Bora B1, Alain Kasongo3, Numbi Kilumba S1, Bugeme M1, Mukeng KD3, Mulumba A4, Omangelo Shongo F1, Sedar Ceylaner5, Muyumba K1, Monga Ben6, Ngoy Nkulu D1
1University of Lubumbashi, Faculty of Medicine, DRC
2Cheikh Anta Diop University, Dakar, Senegal
3Neurodiagnostic Center of Lubumbashi, Lubumbashi, DRC
4Dr. Joseph Guislain Neuropsychiatric Center of Lubumbashi, Lubumbashi, DRC
5Genetics and Rare Diseases, Diagnosis Center, Ankara, Turkey
6University of Lubumbashi, School of Public Health, DRC, Senegal
*Correspondence author: Patrice Ntenga, University of Lubumbashi, Faculty of Medicine, DRC; Email: [email protected]
Ntenga P1*, Touré Kamadore2, Ilunga Kabulo M3, Koba Bora B1, Alain Kasongo3, Numbi Kilumba S1, Bugeme M1, Mukeng KD3, Mulumba A4, Omangelo Shongo F1, Sedar Ceylaner5, Muyumba K1, Monga Ben6, Ngoy Nkulu D1
1University of Lubumbashi, Faculty of Medicine, DRC
2Cheikh Anta Diop University, Dakar, Senegal
3Neurodiagnostic Center of Lubumbashi, Lubumbashi, DRC
4Dr. Joseph Guislain Neuropsychiatric Center of Lubumbashi, Lubumbashi, DRC
5Genetics and Rare Diseases, Diagnosis Center, Ankara, Turkey
6University of Lubumbashi, School of Public Health, DRC, Senegal
*Correspondence author: Patrice Ntenga, University of Lubumbashi, Faculty of Medicine, DRC; Email: [email protected]
Copyright© 2025 by Ntenga P, et al. All rights reserved. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation: Ntenga P, et al. A Study of the Clinical and Genetic Aspects of Familial Epilepsy. J Neuro Onco Res. 2025;5(3):1-29.