1. Gene Panel Testing in Epileptic Encephalopathies and Familial Epilepsies
- Author
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Muhammad Farooq, Klaus Brusgaard, Inga Talvik, Maria J Miranda, Line H.G. Larsen, Jens Erik Klint Nielsen, Kern Olofsson, Lene Lavard Svendsen, Bente Krag-Olsen, Marina Nikanorova, Guido Rubboli, Qin Hao, Helle Hjalgrim, Hans Atli Dahl, Ditte Brix Kjelgaard, Uzma Abdullah, Ulvi Vaher, Katrine M Johannesen, Shahid Mahmood Baig, Peter Uldall, Lana I K Al-Zehhawi, Pia Gellert, Rikke S. Møller, Sofia J Peñalva, Karen Markussen Linnet, Deb K. Pal, Tiina Talvik, Mimoza Frangu, Niels Tommerup, Birgit Jepsen, Dragan Marjanovic, and Alfred Peter Born
- Subjects
0301 basic medicine ,Sanger sequencing ,Genetic heterogeneity ,business.industry ,Benign neonatal seizures ,CDKL5 ,Bioinformatics ,medicine.disease ,03 medical and health sciences ,symbols.namesake ,Epilepsy ,030104 developmental biology ,0302 clinical medicine ,Genetic variation ,Genetics ,symbols ,STXBP1 ,Medicine ,Original Article ,Age of onset ,business ,030217 neurology & neurosurgery ,Genetics (clinical) - Abstract
In recent years, several genes have been causally associated with epilepsy. However, making a genetic diagnosis in a patient can still be difficult, since extensive phenotypic and genetic heterogeneity has been observed in many monogenic epilepsies. This study aimed to analyze the genetic basis of a wide spectrum of epilepsies with age of onset spanning from the neonatal period to adulthood. A gene panel targeting 46 epilepsy genes was used on a cohort of 216 patients consecutively referred for panel testing. The patients had a range of different epilepsies from benign neonatal seizures to epileptic encephalopathies (EEs). Potentially causative variants were evaluated by literature and database searches, submitted to bioinformatic prediction algorithms, and validated by Sanger sequencing. If possible, parents were included for segregation analysis. We identified a presumed disease-causing variant in 49 (23%) of the 216 patients. The variants were found in 19 different genes including SCN1A, STXBP1, CDKL5, SCN2A, SCN8A, GABRA1, KCNA2, and STX1B. Patients with neonatal-onset epilepsies had the highest rate of positive findings (57%). The overall yield for patients with EEs was 32%, compared to 17% among patients with generalized epilepsies and 16% in patients with focal or multifocal epilepsies. By the use of a gene panel consisting of 46 epilepsy genes, we were able to find a disease-causing genetic variation in 23% of the analyzed patients. The highest yield was found among patients with neonatal-onset epilepsies and EEs.
- Published
- 2016
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