Jiaping Wang1, Yongxin Wen1, Qingping Zhang1, Shujie Yu2, Yan Chen1, Xiru Wu1, YueHua Zhang1, Xinhua Bao3. 1. Department of Pediatrics, Peking University First Hospital, Beijing 100034, China. 2. Department of Neurology, Harbin Children's Hospital, Harbin 150010, Heilongjiang Province, China. 3. Department of Pediatrics, Peking University First Hospital, Beijing 100034, China. Electronic address: zwhang@pku.edu.cn.
Abstract
PURPOSE: This study aimed to investigate the genetic etiology of epilepsy in a cohort of Chinese children. METHODS: Targeted next-generation sequencing (NGS) was performed for 120 patients with unexplained epilepsy, including 71 patients with early-onset epileptic encephalopathies, and 16 patients with Dravet syndrome (including three patients with a Dravet-like phenotype) but without SCN1A pathogenic variants. RESULTS: Pathogenic variants of 14 genes were discovered in 22 patients (18%). A de novo KCND3 pathogenic variant (c.1174G > A, p.Val392Ile) was identified in a boy with refractory epilepsy, psychomotor regression, attention deficit, and visual decline. Pathogenic variants in other coding genes were excluded via whole exome sequencing. This KCND3 variant was previously confirmed to be pathogenic by Giudicessi, et al. However, the clinical profile was different: sudden death at 20 years old without any medical history of neurological disorders, nor with any diseases typically caused by KCND3 pathogenic variants such as Brugada syndrome, spinocerebellar ataxia type 19/22 or ataxia accompanied by epilepsy. This indicates that we have identified a new KCND3 phenotype. In addition, we also uncovered a GRIN1 pathogenic variant and a novel HCN1 pathogenic variant in the Dravet cohort. CONCLUSION: Our study highlights the significant utility of NGS panels in the genetic diagnosis of pediatric epilepsy. Our findings indicate that KCND3 pathogenic variants may be responsible for a wider phenotypic spectrum than previously thought, by including childhood epileptic encephalopathy. Furthermore, this study provides evidence that GRIN1 and HCN1 are candidate genes for Dravet and Dravet-like phenotypes.
PURPOSE: This study aimed to investigate the genetic etiology of epilepsy in a cohort of Chinese children. METHODS: Targeted next-generation sequencing (NGS) was performed for 120 patients with unexplained epilepsy, including 71 patients with early-onset epilepticencephalopathies, and 16 patients with Dravet syndrome (including three patients with a Dravet-like phenotype) but without SCN1A pathogenic variants. RESULTS: Pathogenic variants of 14 genes were discovered in 22 patients (18%). A de novo KCND3 pathogenic variant (c.1174G > A, p.Val392Ile) was identified in a boy with refractory epilepsy, psychomotor regression, attention deficit, and visual decline. Pathogenic variants in other coding genes were excluded via whole exome sequencing. This KCND3 variant was previously confirmed to be pathogenic by Giudicessi, et al. However, the clinical profile was different: sudden death at 20 years old without any medical history of neurological disorders, nor with any diseases typically caused by KCND3 pathogenic variants such as Brugada syndrome, spinocerebellar ataxia type 19/22 or ataxia accompanied by epilepsy. This indicates that we have identified a new KCND3 phenotype. In addition, we also uncovered a GRIN1 pathogenic variant and a novel HCN1 pathogenic variant in the Dravet cohort. CONCLUSION: Our study highlights the significant utility of NGS panels in the genetic diagnosis of pediatric epilepsy. Our findings indicate that KCND3 pathogenic variants may be responsible for a wider phenotypic spectrum than previously thought, by including childhood epilepticencephalopathy. Furthermore, this study provides evidence that GRIN1 and HCN1 are candidate genes for Dravet and Dravet-like phenotypes.
Authors: Andrea Merseburg; Jacquelin Kasemir; Eric W Buss; Felix Leroy; Tobias Bock; Alessandro Porro; Anastasia Barnett; Simon E Tröder; Birgit Engeland; Malte Stockebrand; Anna Moroni; Steven A Siegelbaum; Dirk Isbrandt; Bina Santoro Journal: Elife Date: 2022-08-16 Impact factor: 8.713
Authors: Ana Carla Mondek Rampazzo; Rafael Rodrigues Pinheiro Dos Santos; Fernando Arfux Maluf; Renata Faria Simm; Fernando Augusto Lima Marson; Manoela Marques Ortega; Paulo Henrique Pires de Aguiar Journal: Neurogenetics Date: 2021-05-03 Impact factor: 2.660
Authors: Elena Díaz-Casado; Ricardo Gómez-Nieto; José M de Pereda; Luis J Muñoz; María Jara-Acevedo; Dolores E López Journal: PLoS One Date: 2020-03-13 Impact factor: 3.240