Molecular Profiling of Polish Pediatric Patients with Epilepsy: A Single-Center Diagnostic Experience Using Next-Generation Sequencing

<b>Introduction:</b> Epilepsy syndromes show marked clinical and genetic heterogeneity, with numerous functionally diverse genes involved in their etiology. Next-generation sequencing (NGS) has facilitated the identification of many monogenic epilepsy syndromes and enables earlier, more accurate diagnosis in pediatric patients. <b>Materials and Methods:</b> This study analyzes the molecular profiles of 87 pediatric patients with various forms of epilepsy in whom pathogenic or likely pathogenic variants were identified. Next-generation sequencing (NGS) using multi-gene epilepsy panels or whole-exome sequencing (WES) was performed. <b>Results:</b> A total of 88 pathogenic or likely pathogenic variants were detected in 48 epilepsy-related genes; 30 variants occurred de novo. <i>SCN1A</i> and <i>KCNQ2</i> were the most frequent contributors (12.6% and 9.2%, respectively). The highest percentage of positive diagnoses (48%) was observed in patients with developmental and epileptic encephalopathy (DEE), with variants identified in genes including <i>ALG13</i>, <i>ATP1A2</i>, <i>CACNA1A</i>, <i>CDKL5</i>, <i>CHD2</i>, <i>GABRG2</i>, <i>ITPA</i>, <i>KCNQ2</i>, <i>PCDH19</i>, <i>SCN1A</i>, <i>SCN2A</i>, <i>SCN3A</i>, <i>SCN8A</i>, <i>SMC1A</i>, <i>SPTAN1</i>, <i>STXBP1</i>, and <i>UBA5</i>. Pathogenic variants in <i>ANKRD11</i> were found in four patients with KBG syndrome, while other genes appeared sporadically. <b>Conclusions:</b> Targeted massively parallel sequencing is an effective diagnostic tool for pediatric epilepsy. The presence of numerous single-case findings highlights the high genetic heterogeneity of epilepsy. This approach enabled more precise diagnoses that would not have been achieved through clinical evaluation alone, underscoring the importance of genetic testing for prognosis and treatment planning in pediatric patients with unexplained epilepsy.

Authors

Institutions

Publication Details

Journal
Genes
Published
2026-01-27
DOI
https://doi.org/10.3390/genes17020133
Primary Topic
Genomics and Rare Diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Molecular Profiling of Polish Pediatric Patients with Epilepsy: A Single-Center Diagnostic Experience Using Next-Generation Sequencing

Dorota Piekutowska-Abramczuk, Agata Cieślikowska, Agata Ulatowska, Paulina Halat-Wolska et al.
Genes
Genomics and Rare Diseases
article

Molecular Profiling of Polish Pediatric Patients with Epilepsy: A Single-Center Diagnostic Experience Using Next-Generation Sequencing

Dorota Piekutowska-Abramczuk, Agata Cieślikowska, Agata Ulatowska, Paulina Halat-Wolska, Dorota Jurkiewicz, Dorota Dunin-Wąsowicz, Justyna Pietrasik, Beata Chałupczyńska, Dariusz Chmielewski, Katarzyna Kotulska-Jóźwiak, Julita Borkowska, Dorota Wicher, Elżbieta Ciara, Dominika Jedlińska, Piotr Stawiński, Marzena Gawlik, Agnieszka Madej-Pilarczyk, Krystyna Chrzanowska, Agnieszka Pollak
article en

Abstract

<b>Introduction:</b> Epilepsy syndromes show marked clinical and genetic heterogeneity, with numerous functionally diverse genes involved in their etiology. Next-generation sequencing (NGS) has facilitated the identification of many monogenic epilepsy syndromes and enables earlier, more accurate diagnosis in pediatric patients. <b>Materials and Methods:</b> This study analyzes the molecular profiles of 87 pediatric patients with various forms of epilepsy in whom pathogenic or likely pathogenic variants were identified. Next-generation sequencing (NGS) using multi-gene epilepsy panels or whole-exome sequencing (WES) was performed. <b>Results:</b> A total of 88 pathogenic or likely pathogenic variants were detected in 48 epilepsy-related genes; 30 variants occurred de novo. <i>SCN1A</i> and <i>KCNQ2</i> were the most frequent contributors (12.6% and 9.2%, respectively). The highest percentage of positive diagnoses (48%) was observed in patients with developmental and epileptic encephalopathy (DEE), with variants identified in genes including <i>ALG13</i>, <i>ATP1A2</i>, <i>CACNA1A</i>, <i>CDKL5</i>, <i>CHD2</i>, <i>GABRG2</i>, <i>ITPA</i>, <i>KCNQ2</i>, <i>PCDH19</i>, <i>SCN1A</i>, <i>SCN2A</i>, <i>SCN3A</i>, <i>SCN8A</i>, <i>SMC1A</i>, <i>SPTAN1</i>, <i>STXBP1</i>, and <i>UBA5</i>. Pathogenic variants in <i>ANKRD11</i> were found in four patients with KBG syndrome, while other genes appeared sporadically. <b>Conclusions:</b> Targeted massively parallel sequencing is an effective diagnostic tool for pediatric epilepsy. The presence of numerous single-case findings highlights the high genetic heterogeneity of epilepsy. This approach enabled more precise diagnoses that would not have been achieved through clinical evaluation alone, underscoring the importance of genetic testing for prognosis and treatment planning in pediatric patients with unexplained epilepsy.

GenesVol. 17(2)
Medical University of Warsaw (PL), Children's Memorial Health Institute (PL)
Good health and well-being
Openalex Percentile: Top 72%
Genomics and Rare Diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.