Elsevier

Epilepsy & Behavior

Volume 128, March 2022, 108564
Epilepsy & Behavior

Next-generation sequencing in children with epilepsy: The importance of precise genotype–phenotype correlation

https://doi.org/10.1016/j.yebeh.2022.108564Get rights and content

Highlights

  • Multidisciplinary approach is important while interpreting epilepsy genetic results.

  • Precise genotype–phenotype correlation can increase the yield of NGS panel by 53.33%.

  • Proposed approach allowed the yield of next-generation sequencing to reach 26.28%.

Abstract

Aim

The primary goal was to determine the yield of next-generation sequencing (NGS) epilepsy gene panels used for epilepsy etiology diagnosing using a multidisciplinary approach and to demonstrate the importance of genotype–phenotype correlations. The secondary goal was to evaluate the application of precision medicine in selected patients.

Methods

This single-center retrospective study included a total of 175 patients (95 males and 80 females) aged 0–19 years. They were examined between 2015 and 2020 using an NGS epilepsy gene panel (270 genes). A bioinformatic analysis was performed including copy number variation identification. Thorough genotype–phenotype correlation was performed.

Results

Out of 175 patients, described pathogenic variants or novel variants with clear pathogenic impact were identified in 30 patients (17.14%). Genotype–phenotype correlations and parental DNA analysis were performed, and genetic diagnosis was confirmed on the basis of the results in another 16 out of 175 patients (9.14%). The diagnostic yield of our study increased from 30 to 46 patients (by 53.33%) by the precise genotype–phenotype correlation.

Interpretation

We emphasize a complex genotype–phenotype correlation and a multidisciplinary approach in evaluating the results of the NGS epilepsy gene panel, which enables the most accurate genetic diagnosis and correct interpretation of results.

Introduction

Epilepsy affects 0.5% to 1% of children and is the most frequent chronic neurologic condition in childhood [1]. The underlying etiology is unknown in 40–50% of cases of epilepsy, although it has been estimated that approximately 30% of epilepsy is genetic [2].

Clinical genetic diagnosis methods have become popular in recent years and include various technologies and strategies. Next generation sequencing (NGS) is revolutionary especially in terms of the possibility of simultaneously examining many genes. NGS testing includes not only specific gene panels, but a methodology that can encompass the entire exome (whole exome sequencing, WES) or genome (whole genome sequencing, WGS), methods that have the potential to further increase the yield of genetic testing in patients with epilepsy. The yield of NGS epilepsy gene panels ranges from 20 to 40% depending on the sample investigated [3], [4], [5]. Geneticists interpret and report detected sequence variants on the basis of currently valid recommendations according to the American College of Medical Genetics and Genomics (ACMG) [6]. Thus, each sequence variant is included in the group of pathogenic (P), likely pathogenic (LP), benign (B), likely benign (LB), or with uncertain significance (VUS). The thorough genotypic–phenotypic correlation and interpretation of genetic results from the neurological-epileptological point of view, taking into account other anamnestic data, are an integral and crucial part of the process of interpreting the result of NGS; it importantly increases the diagnostic yield of NGS examination.

Knowing the genetic cause of epilepsy in a patient opens new horizons in terms of understanding the pathophysiology of the epileptological process, and it also creates a space for the study of pharmacological models of antiepileptic drugs. The definition of precision medicine thus takes on real proportions in some patients with epilepsy.

We present our single-center experience of using targeted gene-panel sequencing to diagnose the genetic etiology of epilepsy in children and we focus on the precise multidisciplinary genotype–phenotype correlation of each patient in order to maximize the yield of this examination method.

Section snippets

Methods

This retrospective study included 175 unrelated patients aged 0 to 19 at the time of genetic testing. All patients were examined using an NGS epilepsy gene panel including 270 genes. A detailed list is attached to the work as supplementary data, table 2. All patients were examined between 2015 and 2020 at the Department of Pediatric Neurology of the Faculty of Medicine, Masaryk University and University Hospital Brno, Czech Republic, and were diagnosed with epilepsy. Informed consent for

Results

A total of 175 patients (95 males and 80 females) aged 0 to 19 years were included in the study. All patients had been diagnosed with epilepsy and underwent genetic testing with the NGS epilepsy gene panel between 2015 and 2020.

Dividing patients into categories by type of epilepsy, 89 out of 175 patients (50.86%) experienced developmental and epileptic encephalopathy (DEE), 45 (25.71%) were classified with generalized epilepsy (GE), and 41 (23.43%) had focal epilepsy (FE). We further classified

Diagnostic yield of NGS epilepsy gene panel

Previous studies have shown that NGS of multiple disease-related genes is an effective tool for diagnosing the cause of epilepsy [8], [9], [10], [11]. This finding is particularly true for early-onset epileptic encephalopathy, which has been reported to have a higher proportion of monogenic causes than other epilepsies [3].

The results of our retrospective study show a 26.28% yield of NGS epilepsy gene panel with 270 genes associated with epilepsy. The yield of different multigene panels varies

Conclusion

Our results support the introduction of the NGS epilepsy gene panel into the diagnostic algorithm, especially in children with DEE. Early diagnosis is desirable not only in terms of completing the demanding diagnostic process, but also in terms of introducing targeted therapy. In the interpretation of genetic examination results, we appeal for a very complex genotypic–phenotypic correlation and a multidisciplinary approach that will enable the most accurate genetic diagnosis and the correct

Declaration of competing interest

None of the authors has any conflict of interest to disclose. We confirm that we have read the Journal’s position on the issues involved in ethical publication and affirm that this report is consistent with those guidelines.

Acknowledgements

This work was supported by funds from the Faculty of Medicine of Masaryk University, Czech republic to junior researcher (Pavlína Danhofer, M.D., Ph.D., ROZV/28/LF/2020).

This study was supported by the project of the Ministry of Health of the Czech Republic (FNB RVO 65269705).

Thanks to Anne Johnson for grammatical assistance.

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  • Cited by (5)

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    These authors contributed equally to the paper as first authors.

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