BACKGROUND: The purposes of this study were three-fold: (i) to determine the contribution of known genes to the causation of a broad-spectrum of pediatric drug-resistant epilepsy (DRE), (ii) to compare the diagnostic yield and cost among different next-generation sequencing (NGS) approaches, and especially (iii) to assess how NGS approaches can benefit patients by improving diagnosis and treatment efficiency. METHODS: This study enrolled 273 pediatric DRE patients with no obvious acquired etiology. Seventy-four patients underwent whole-exome sequencing (WES), 141 patients had epilepsy-related gene panel testing, and another 58 patients had clinical WES gene panel testing. We obtained these patients' seizure and hospitalization frequency by periodic follow-up phone calls and outpatient visits. RESULTS: Genetic diagnosis was achieved in 86 patients (31.5%) and involved 93 likely disease-causing mutations in 33 genes. In this study, the detection rates of the epilepsy-related gene panel, the clinical WES gene panel, and WES were 32.6% (46/141), 44.8% (26/58), and 17.3% (13/74), respectively. Moreover, 34 patients accepted corrective therapy according to their mutant genes, after which 52.9% (18/34) became seizure-free and 38.2% (13/34) achieved seizure reduction. In the end, patients with either positive or negative genetic results had significantly fewer hospitalization incidents (times/half year) than before (positive genetic results group 0.58 ± 1.14 vs 0.10 ± 0.26; negative genetic results group 0.72 ± 1.65 vs 0.12 ± 0.33). CONCLUSIONS: These results offer further proof that NGS approaches represent powerful tools for establishing a definitive diagnosis. Moreover, this study indicated how NGS can improve treatment efficacy and reduce hospitalization in children with DRE.
BACKGROUND: The purposes of this study were three-fold: (i) to determine the contribution of known genes to the causation of a broad-spectrum of pediatric drug-resistant epilepsy (DRE), (ii) to compare the diagnostic yield and cost among different next-generation sequencing (NGS) approaches, and especially (iii) to assess how NGS approaches can benefit patients by improving diagnosis and treatment efficiency. METHODS: This study enrolled 273 pediatric DRE patients with no obvious acquired etiology. Seventy-four patients underwent whole-exome sequencing (WES), 141 patients had epilepsy-related gene panel testing, and another 58 patients had clinical WES gene panel testing. We obtained these patients' seizure and hospitalization frequency by periodic follow-up phone calls and outpatient visits. RESULTS: Genetic diagnosis was achieved in 86 patients (31.5%) and involved 93 likely disease-causing mutations in 33 genes. In this study, the detection rates of the epilepsy-related gene panel, the clinical WES gene panel, and WES were 32.6% (46/141), 44.8% (26/58), and 17.3% (13/74), respectively. Moreover, 34 patients accepted corrective therapy according to their mutant genes, after which 52.9% (18/34) became seizure-free and 38.2% (13/34) achieved seizure reduction. In the end, patients with either positive or negative genetic results had significantly fewer hospitalization incidents (times/half year) than before (positive genetic results group 0.58 ± 1.14 vs 0.10 ± 0.26; negative genetic results group 0.72 ± 1.65 vs 0.12 ± 0.33). CONCLUSIONS: These results offer further proof that NGS approaches represent powerful tools for establishing a definitive diagnosis. Moreover, this study indicated how NGS can improve treatment efficacy and reduce hospitalization in children with DRE.
Authors: C Sue Richards; Sherri Bale; Daniel B Bellissimo; Soma Das; Wayne W Grody; Madhuri R Hegde; Elaine Lyon; Brian E Ward Journal: Genet Med Date: 2008-04 Impact factor: 8.822
Authors: Allan Bayat; Christina D Fenger; Tanya R Techlo; Anne F Højte; Ida Nørgaard; Thomas F Hansen; Guido Rubboli; Rikke S Møller; Danish Cytogenetic Central Registry Study Group Journal: Neurotherapeutics Date: 2022-06-20 Impact factor: 6.088
Authors: Joseph D Symonds; Sameer M Zuberi; Kirsty Stewart; Ailsa McLellan; Mary O'Regan; Stewart MacLeod; Alice Jollands; Shelagh Joss; Martin Kirkpatrick; Andreas Brunklaus; Daniela T Pilz; Jay Shetty; Liam Dorris; Ishaq Abu-Arafeh; Jamie Andrew; Philip Brink; Mary Callaghan; Jamie Cruden; Louise A Diver; Christine Findlay; Sarah Gardiner; Rosemary Grattan; Bethan Lang; Jane MacDonnell; Jean McKnight; Calum A Morrison; Lesley Nairn; Meghan M Slean; Elma Stephen; Alan Webb; Angela Vincent; Margaret Wilson Journal: Brain Date: 2019-08-01 Impact factor: 13.501
Authors: Laura Schultz-Rogers; Ikuo Masuho; Filippo Pinto E Vairo; Christopher T Schmitz; Tanya L Schwab; Karl J Clark; Lauren Gunderson; Pavel N Pichurin; Klaas Wierenga; Kirill A Martemyanov; Eric W Klee Journal: Mol Genet Genomic Med Date: 2020-09-12 Impact factor: 2.183