Somatic DNA Variants in Epilepsy Surgery Brain Samples from Patients with Lesional Epilepsy
Authors:
- Jana Marie SchwarzJSJana Marie Schwarz
- Lena-Luise BeckerLBLena-Luise Becker
- Monika WahleMWMonika Wahle
- Jessica FaßbenderJFJessica Faßbender
- Ulrich-Wilhelm ThomaleUTUlrich-Wilhelm Thomale
- Anna TietzeATAnna Tietze
- Susanne Morales-GonzalezSMSusanne Morales-Gonzalez
- Ellen KnierimEKEllen Knierim
- Markus SchuelkeMSMarkus Schuelke
- Angela M. KaindlAKAngela M. Kaindl
Open Access
- 19 January 2025
- journal article
- research article
- Published by MDPI AG in International Journal of Molecular Sciences
- Vol. 26 (2) , 815
Abstract
Epilepsy affects 50 million people worldwide and is drug-resistant in approximately one-third of cases. Even when a structural lesion is identified as the epileptogenic focus, understanding the underlying genetic causes is crucial to guide both counseling and treatment decisions. Both somatic and germline DNA variants may contribute to the lesion itself and/or influence the severity of symptoms. We therefore used whole exome sequencing (WES) to search for potentially pathogenic somatic DNA variants in brain samples from children with lesional epilepsy who underwent epilepsy surgery. WES was performed on 20 paired DNA samples extracted from both lesional brain tissue and reference tissue from the same patient, such as leukocytes or fibroblasts. The paired WES data were jointly analyzed using GATK Mutect2 to identify somatic single nucleotide variants (SNVs) or insertions/deletions (InDels), which were subsequently evaluated in silico for their disease-causing potential using MutationTaster2021. We identified known pathogenic somatic variants in five patients (25%) with variant allele frequencies (VAF) ranging from 3–35% in the genes MTOR, TSC2, PIK3CA, FGFR1, and PIK3R1 as potential causes of cortical malformations or central nervous system (CNS) tumors. Depending on the VAF, we used different methods such as Sanger sequencing, allele-specific qPCR, or targeted ultra-deep sequencing (amplicon sequencing) to confirm the variant. In contrast to the usually straightforward confirmation of germline variants, the validation of somatic variants is more challenging because current methods have limitations in sensitivity, specificity, and cost-effectiveness. In our study, WES identified additional somatic variant candidates in additional genes with VAFs ranging from 0.7–7.0% that could not be validated by an orthogonal method. This highlights the importance of variant validation, especially for those with very low allele frequencies.Keywords
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Funding Information
- Günter Endres Fond (EXC-2049-390688087)
- Sonnenfeld-Stiftung (EXC-2049-390688087)
- Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF) (EXC-2049-390688087)
- Deutsche Forschungsgemeinschaft (EXC-2049-390688087)
This publication has 72 references indexed in Scilit:
- Outcomes of stereoelectroencephalography following failed epilepsy surgery in childrenChild's Nervous System, 2024
- ATP1A2‐related epileptic encephalopathy and movement disorder: Clinical features of three novel patientsEpileptic Disorders, 2024
- The importance of routine genetic testing in pediatric epilepsy surgeryEpilepsia Open, 2024
- Assessing the role of rare genetic variants in drug‐resistant, non‐lesional focal epilepsyAnnals of Clinical and Translational Neurology, 2021
- mTOR pathway somatic variants and the molecular pathogenesis of hemimegalencephalyEpilepsia Open, 2020
- Preliminary report: Late seizure recurrence years after epilepsy surgery may be associated with alterations in brain tissue transcriptomeEpilepsia Open, 2018
- Germline and somatic FGFR1 abnormalities in dysembryoplastic neuroepithelial tumorsActa Neuropathologica, 2016
- Mammalian target of rapamycin pathway mutations cause hemimegalencephaly and focal cortical dysplasiaAnnals of Neurology, 2015
- Early Surgical Therapy for Drug-Resistant Temporal Lobe EpilepsyJAMA, 2012
- Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT MethodMethods, 2001