Frecuencia de variantes genéticas asociadas a epilepsia en pacientes pediátricos

Introduction : Epilepsy in pediatric patients is a relatively frequent condition in our population, which may have genetic origin. In this study, we determined the frequency of genetic variants associated with epilepsy in patients of the medical genetics service of the Dr. Hugo Mendoza Pediatric Hospital in the period August 2018 - August 2021. Results : In a sample of 154 patients, a total of 107 cases, the most frequent variants associated with epilepsy were identiﬁed and characterized according to age, sex, inheritance pattern and zygosity. The pathologies associated with each variant of the study participants were also identiﬁed. Conclusion : The most frequent age at which a genetic variant was found was 3 years. The female sex was identiﬁed as the most frequent, and the autosomal dominant inheritance pattern presented the highest number of cases, followed by the autosomal recessive pattern, and ﬁnally the X-linked patterns; dominant and recessive.


INTRODUCTION
Epilepsy is a disease of the central nervous system characterized by recurrent seizures, in brief episodes and crises, triggered by abnormal electrical discharges of a group of hyperexcitable neurons, affecting a part of the body (partial), or the whole body (generalized), is a chronic disease, which affects about 50 million people worldwide [1].
The development of genetic technology has led to the identification of an increasing number of genes associated with epilepsy [2]. These discoveries provide the basis for including genetic testing in clinical practice and improving the diagnosis and treatment of epilepsy. In the databases [OMIM, HGMD, Epi-lepsyGene and recent publications in PubMed], there are 977 genes that are associated with epilepsy.
Advances in genomic techniques, especially the development of next-generation sequencing, have increased our knowledge about genetic changes occurring throughout the human genome, allowing rapid and efficient discovery of genes implicated in many diseases. Epilepsies can result from primary genetic abnormalities or secondary to well-defined structural or metabolic disorders, some of which also have genetic causes. It is estimated that almost half of the epilepsies have a genetic basis [3].
Gene identification from sequencing-based studies has been limited mainly to rare and monogenic forms of epilepsy, and much of the attention has been focused on a group of severe diseases. Epileptic encephalopathies usually begin early in life and are characterized by intractable seizures and mild disability. It is known that one in 2,000 infants will develop severe epilepsy that will begin before the age of 18 months. The incidence of these groups is not well established, but they are recognized as the most common and least severe forms of epilepsy. Each account for 20% to 40% of epilepsies [4]. Epi-Genetics and Clinical Genomics Genet Genom Clinic 2023; 1(1):12-21 13 DOI: 10.37980/im.journal.ggcl.20232198 lepsy is a condition with variable clinical pictures, within which the identification of genetic variants associated with specific disorders helps us in the management of these patients, especially in drug-resistant presentations of the disease. Several scientific studies have demonstrated the benefits of identifying the etiological genetic cause of epilepsy, from the diagnostic, therapeutic and prognostic point of view [5].
Epilepsy is one of the most common neurological disorders in pediatric patients with other underlying neurological defects, occurring in 4 to 10 cases per 1,000 people. About 5 million cases of epilepsy are diagnosed annually worldwide [1]. Epilepsy is characterized by the occurrence of a synchronous and excessive discharge of a group of neurons sensitive to excitatory stimuli, and is evidenced by spontaneous and recurrent seizures, which may present with motor, sensory, cognitive, psychic and even autonomic signs and symptoms. It is estimated that 40% of epilepsies have a genetic origin, and that 20-30% of all patients diagnosed as epileptic are drug-resistant. This research seeks to identify genetic variants associated with susceptibility to epilepsy in patients of the medical genetics service of the Dr. Hugo Mendoza Pediatric Hospital, and to become a point of reference in fields such as clinical neurology, neurosciences and scientific research in the Dominican Republic. This is a condition that is difficult to treat, given the high rate of drug resistance that we currently have, so it is essential that the latest molecular genetic diagnostic technologies, such as Next Generation Sequencing (NGS), are introduced into routine clinical practice. These technologies help us to differentiate the cause of epilepsy, from a disorder of genetic origin, to a syndrome of organic origin, caused by trauma, tumors, cerebrovascular events, etc. In this study, we evaluate the most frequent genetic variants associated with epilepsies in patients of the Pediatric Hospital from August 2018 to August 2021. The general objective of this work is to determine the frequency of genetic variants associated with epilepsy in our population. Specifically, we wish to identify the most frequent age and sex of the genetic variants associated with epilepsy (See Supplementary Table 2). The inheritance pattern of the genetic variants associated with epilepsy is also determined. Most cases were identified in the female sex, with a total of 57% ( Figure 1). The phenotypic inheritance pattern for the variants associated with epilepsy was autosomal dominant with 90% of the cases, followed by 4% of variants with autosomal recessive inheritance pattern, and X-linked cases, both with 3% of the cases (Table 2). Likewise, zygosity was evaluated, documenting 92% heterozygous variants, 7% homozygous variants and 1% hemizygous variants ( Table 3).

MATERIALS AND METHODS
The top three genes identified in our population (ARHGEF15, SCN1A, FASN) corresponded to 30% of all identified variables (Table 4), and together, most of the affected genes were associated with early infantile epileptic encephalopathy. The data were organized in decreasing order using the number of cases, by means of a frequency table. We analyzed the number of times a variant was presented in relation to the total number of cases presented. With the analysis of these 114 cases we determined the most frequent genetic variants associated with epilepsy in our population, which corresponded to ARHGEF15, followed by the SCN1A variant, continuing with the These findings are directly close to the results of our study, since SCN1A, presented 7 cases out of 79 studied. In spite of not having an identical sampling, but a similar one, the same differs from our research, in that the most frequent affected gene is ARHGEF15, presenting 8 cases out of 79 studied.

DISCUSSION
Regarding the age group of these patients, 33 cases corresponded to patients between 3 and 4 years of age, of which 16 patients corresponded to the age of 3 years, the latter being the most frequent.
When comparing again with the study of Dongfang Zou, et. al., we see that the most frequent age was 4.3 years, which is close to our study, since the most frequent age at which the variants associated with epilepsy were presented was 3 years of age, thus showing, as a possible diagnostic target, these age intervals to initiate molecular research.
Of the total number of cases of genetic variants associated with epilepsy, our results showed that the female sex, with a total of 45 patients, was the most frequent, compared to the male sex, which only presented 34 patients.

Analyzing the publication in the journal Frontiers in Molecular
Neuroscience. Tiejia Jiang, Jia Gao and collaborators, in the year 2021, who studied 221 patients of which 96 were female and 125 were male, the same with a larger sampling than in our study, determined that the male sex was more frequent.
Our findings can also be placed in contrast with the one pu- The inheritance patterns of the most frequent genetic variants associated with epilepsy were analyzed, and we determined that the autosomal dominant inheritance pattern was presented, followed by the autosomal recessive pattern and finally the X-linked inheritance patterns; recessive and dominant. It should be noted that the sample size is a fundamental axis to validate the frequency of these inheritance patterns with respect to other investigations.
In this sense, the study of Dongfang Zou, et. al. entitled "Genome sequencing of 320 Chinese children with epilepsy", which resulted to have autosomal dominant inheritance pattern in 68 cases out of 107 studied, with autosomal recessive in 27 cases, X-linked dominant in 10 cases and X-linked recessive in 2 cases, we can observe that the autosomal dominant pattern is the most frequent.
Our research was able to establish the zygosity of the variants associated with epilepsy, in such sense our findings were consistent with patients in heterozygous state, presenting a total of 105 cases of variants, the homozygous with 8 cases, and finally the hemizygous with 1 case.
In the journal Epilepsia, official journal of the International League Against Epilepsy. Krishna R Veeramah, Laurel Johnstone et al. In 2013, they concluded that 70% of their patients presented heterozygosity and 30% homozygosity. This differs from our study, where 92% of the variants correspond to heterozygosis and 7% to homozygosis, in addition to the fact that they did not present hemizygotes, which represent 1% respectively in our research.
In this study we identified a set of pathologies and we were able to obtain diagnoses of variants associated with epilepsy and we observed a large number of variants that are associa-Genetics and Clinical Genomics DOI: 10.37980/im.journal.ggcl.20232198 ted with the same pathology (See Table 5) such as: ARHGEF15,   CUX2, ATP1A2, CHD2, DYNC1H1, FARS2, FASN, FGF12, GABRA1,   GABRB3, HCN1, NEDD4L,  In the framework of study of myoclonic epilepsies we found the variants SLC6A1 associated with myoclonic-atonic epilepsy and KCTD7 associated with progressive myoclonic epilepsy, contrasting with the study published in the BRAIN journal of the University of Oxford. Dongfang Zou, † Lin Wang † and coworkers, which reported epilepsy with myoclonic-atonic seizures associated with the ITPR1 variant and early myoclonic encephalopathy associated with the EEF1A2 variant.
Such as the study published in The American Journal of Human Genetics, where the Epi25 Collaborative group found rare epileptic syndromes, different from the variants in our study, which were: NRXN1, TCF4 both associated with Pitt-Hopkins syndrome, EHMT1 associated with Kleefstra syndrome and SMARCD1 associated with Coffin-Siris syndrome type 1.
Our findings also reported the variants; GCDH associated with glutaric acidemia type 1, GFAP associated with Alexander di-sease, HRAS Costello syndrome. In turn the variants, KANSL1 Koolen de Vries syndrome, KCNMA1 associated with generalized epilepsy and paroxysmal dyskinesia and SLC9A6 associated with Christianson syndrome.
Other variants associated with genetic syndromes were also identified, such as: CDK13 associated with CDK13-related disorder, MTOR associated with Smith-Kingsmore syndrome, ATP6AP2 Intellectual disability with epilepsy. The CDKL5 variant associated with West syndrome was also identified. After analyzing the percentage of males and females studied in this research, it was identified that the female sex is the most frequent.
Our research showed that the autosomal dominant inheritance pattern presented the highest number of cases, followed by the autosomal recessive pattern, and finally the X-linked patterns; dominant and recessive.
Once the zygosity of the epilepsy-associated variants in our study was established, it was shown that heterozygous patients had the highest number of cases, followed by homozygotes and then hemizygotes. At the end of our research, we identified the epileptic syndromes and the genetic syndromes associated with epilepsy of each variant in the patients studied.

Recommendations
Our recommendations are: -To the health institutions of the Dominican Republic, we urge them to continue to deepen this study, and thus improve the care of patients with epilepsy.