1
|
Koh HY, Smith L, Wiltrout KN, Podury A, Chourasia N, D’Gama AM, Park M, Knight D, Sexton EL, Koh JJ, Oby B, Pinsky R, Shao DD, French CE, Shao W, Rockowitz S, Sliz P, Zhang B, Mahida S, Moufawad El Achkar C, Yuskaitis CJ, Olson HE, Sheidley BR, Poduri AH. Utility of Exome Sequencing for Diagnosis in Unexplained Pediatric-Onset Epilepsy. JAMA Netw Open 2023; 6:e2324380. [PMID: 37471090 PMCID: PMC10359957 DOI: 10.1001/jamanetworkopen.2023.24380] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 05/31/2023] [Indexed: 07/21/2023] Open
Abstract
Importance Genomic advances inform our understanding of epilepsy and can be translated to patients as precision diagnoses that influence clinical treatment, prognosis, and counseling. Objective To delineate the genetic landscape of pediatric epilepsy and clinical utility of genetic diagnoses for patients with epilepsy. Design, Setting, and Participants This cohort study used phenotypic data from medical records and treating clinicians at a pediatric hospital to identify patients with unexplained pediatric-onset epilepsy. Exome sequencing was performed for 522 patients and available biological parents, and sequencing data were analyzed for single nucleotide variants (SNVs) and copy number variants (CNVs). Variant pathogenicity was assessed, patients were provided with their diagnostic results, and clinical utility was evaluated. Patients were enrolled from August 2018 to October 2021, and data were analyzed through December 2022. Exposures Phenotypic features associated with diagnostic genetic results. Main Outcomes and Measures Main outcomes included diagnostic yield and clinical utility. Diagnostic findings included variants curated as pathogenic, likely pathogenic (PLP), or diagnostic variants of uncertain significance (VUS) with clinical features consistent with the involved gene's associated phenotype. The proportion of the cohort with diagnostic findings, the genes involved, and their clinical utility, defined as impact on clinical treatment, prognosis, or surveillance, are reported. Results A total of 522 children (269 [51.5%] male; mean [SD] age at seizure onset, 1.2 [1.4] years) were enrolled, including 142 children (27%) with developmental epileptic encephalopathy and 263 children (50.4%) with intellectual disability. Of these, 100 participants (19.2%) had identifiable genetic explanations for their seizures: 89 participants had SNVs (87 germline, 2 somatic mosaic) involving 69 genes, and 11 participants had CNVs. The likelihood of identifying a genetic diagnosis was highest in patients with intellectual disability (adjusted odds ratio [aOR], 2.44; 95% CI, 1.40-4.26), early onset seizures (aOR, 0.93; 95% CI, 0.88-0.98), and motor impairment (aOR, 2.19; 95% CI 1.34-3.58). Among 43 patients with apparently de novo variants, 2 were subsequently determined to have asymptomatic parents harboring mosaic variants. Of 71 patients who received diagnostic results and were followed clinically, 29 (41%) had documented clinical utility resulting from their genetic diagnoses. Conclusions and Relevance These findings suggest that pediatric-onset epilepsy is genetically heterogeneous and that some patients with previously unexplained pediatric-onset epilepsy had genetic diagnoses with direct clinical implications.
Collapse
Affiliation(s)
- Hyun Yong Koh
- Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts
- Department of Neurology, Boston Children’s Hospital, Boston, Massachusetts
- F.M. Kirby Neurobiology Center, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts
- The Manton Center for Orphan Disease Research, Boston Children’s Hospital, Boston, Massachusetts
| | - Lacey Smith
- Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts
- Department of Neurology, Boston Children’s Hospital, Boston, Massachusetts
| | - Kimberly N. Wiltrout
- Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts
- Department of Neurology, Boston Children’s Hospital, Boston, Massachusetts
- Department of Neurology, Harvard Medical School, Boston, Massachusetts
| | | | - Nitish Chourasia
- Department of Neurology, Boston Children’s Hospital, Boston, Massachusetts
- Department of Pediatrics and Neurology, University of Tennessee Health Science Center, Memphis
| | - Alissa M. D’Gama
- Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Division of Newborn Medicine, Department of Pediatrics, Boston Children’s Hospital, Boston, Massachusetts
| | - Meredith Park
- Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts
| | - Devon Knight
- Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts
| | - Emma L. Sexton
- Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts
| | - Julia J. Koh
- Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts
| | - Brandon Oby
- Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts
| | - Rebecca Pinsky
- Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts
| | - Diane D. Shao
- Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts
- Department of Neurology, Boston Children’s Hospital, Boston, Massachusetts
- Department of Neurology, Harvard Medical School, Boston, Massachusetts
| | - Courtney E. French
- Research Computing, Department of Information Technology, Boston Children’s Hospital, Boston, Massachusetts
| | - Wanqing Shao
- Research Computing, Department of Information Technology, Boston Children’s Hospital, Boston, Massachusetts
| | - Shira Rockowitz
- The Manton Center for Orphan Disease Research, Boston Children’s Hospital, Boston, Massachusetts
- Research Computing, Department of Information Technology, Boston Children’s Hospital, Boston, Massachusetts
| | - Piotr Sliz
- The Manton Center for Orphan Disease Research, Boston Children’s Hospital, Boston, Massachusetts
- Research Computing, Department of Information Technology, Boston Children’s Hospital, Boston, Massachusetts
- Division of Molecular Medicine, Boston Children’s Hospital, Boston, Massachusetts
| | - Bo Zhang
- Department of Neurology, Boston Children’s Hospital, Boston, Massachusetts
- Biostatistics and Research Design Center, Institutional Centers for Clinical and Translational Research, Boston Children’s Hospital, Boston, Massachusetts
| | - Sonal Mahida
- Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts
- Department of Neurology, Boston Children’s Hospital, Boston, Massachusetts
| | - Christelle Moufawad El Achkar
- Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts
- Department of Neurology, Boston Children’s Hospital, Boston, Massachusetts
- Department of Neurology, Harvard Medical School, Boston, Massachusetts
- Biostatistics and Research Design Center, Institutional Centers for Clinical and Translational Research, Boston Children’s Hospital, Boston, Massachusetts
| | - Christopher J. Yuskaitis
- Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts
- Department of Neurology, Boston Children’s Hospital, Boston, Massachusetts
- F.M. Kirby Neurobiology Center, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Neurology, Harvard Medical School, Boston, Massachusetts
| | - Heather E. Olson
- Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts
- Department of Neurology, Boston Children’s Hospital, Boston, Massachusetts
- F.M. Kirby Neurobiology Center, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Neurology, Harvard Medical School, Boston, Massachusetts
| | - Beth Rosen Sheidley
- Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts
- Department of Neurology, Boston Children’s Hospital, Boston, Massachusetts
| | - Annapurna H. Poduri
- Epilepsy Genetics Program, Boston Children’s Hospital, Boston, Massachusetts
- Department of Neurology, Boston Children’s Hospital, Boston, Massachusetts
- F.M. Kirby Neurobiology Center, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Neurology, Harvard Medical School, Boston, Massachusetts
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| |
Collapse
|
2
|
Smith L, Malinowski J, Ceulemans S, Peck K, Walton N, Sheidley BR, Lippa N. Genetic testing and counseling for the unexplained epilepsies: An evidence‐based practice guideline of the National Society of Genetic Counselors. J Genet Couns 2022; 32:266-280. [PMID: 36281494 DOI: 10.1002/jgc4.1646] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 09/27/2022] [Accepted: 10/01/2022] [Indexed: 11/10/2022]
Abstract
Epilepsy, defined by the occurrence of two or more unprovoked seizures or one unprovoked seizure with a propensity for others, affects 0.64% of the population and can lead to significant morbidity and mortality. A majority of unexplained epilepsy (seizures not attributed to an acquired etiology, such as trauma or infection) is estimated to have an underlying genetic etiology. Despite rapid progress in understanding of the genetic underpinnings of the epilepsies, there are no recent evidence-based guidelines for genetic testing and counseling for this population. This practice guideline provides evidence-based recommendations for approaching genetic testing in the epilepsies using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) Evidence to Decision framework. We used evidence from a recent systematic evidence review and meta-analysis of diagnostic yield of genetic tests in patients with epilepsy. We also compiled data from other sources, including recently submitted conference abstracts and peer-reviewed journal articles. We identified and prioritized outcomes of genetic testing as critical, important or not important and based our recommendations on outcomes deemed critical and important. We considered the desirable and undesirable effects, value and acceptability to relevant stakeholders, impact on health equity, cost-effectiveness, certainty of evidence, and feasibility of the interventions in individuals with epilepsy. Taken together, we generated two clinical recommendations: (1) Genetic testing is strongly recommended for all individuals with unexplained epilepsy, without limitation of age, with exome/genome sequencing and/or a multi-gene panel (>25 genes) as first-tier testing followed by chromosomal microarray, with exome/genome sequencing conditionally recommended over multi-gene panel. (2) It is strongly recommended that genetic tests be selected, ordered, and interpreted by a qualified healthcare provider in the setting of appropriate pre-test and post-test genetic counseling. Incorporation of genetic counselors into neurology practices and/or referral to genetics specialists are both useful models for supporting providers without genetics expertise to implement these recommendations.
Collapse
Affiliation(s)
- Lacey Smith
- Epilepsy Genetics Program, Department of Neurology Boston Children's Hospital Boston Massachusetts USA
| | | | - Sophia Ceulemans
- Department of Genetics, Department of Neurology Rady Children's Hospital San Diego California USA
| | - Katlin Peck
- Department of Laboratory Management eviCore Healthcare Bluffton South Carolina USA
| | - Nephi Walton
- Intermountain Precision Genomics Intermountain Healthcare St. George Utah USA
| | - Beth Rosen Sheidley
- Epilepsy Genetics Program, Department of Neurology Boston Children's Hospital Boston Massachusetts USA
| | - Natalie Lippa
- Instititute for Genomic Medicine Columbia University Irving Medical Center New York New York USA
| |
Collapse
|
3
|
Truty R, Patil N, Sankar R, Sullivan J, Millichap J, Carvill G, Entezam A, Esplin ED, Fuller A, Hogue M, Johnson B, Khouzam A, Kobayashi Y, Lewis R, Nykamp K, Riethmaier D, Westbrook J, Zeman M, Nussbaum RL, Aradhya S. Possible precision medicine implications from genetic testing using combined detection of sequence and intragenic copy number variants in a large cohort with childhood epilepsy. Epilepsia Open 2019; 4:397-408. [PMID: 31440721 PMCID: PMC6698688 DOI: 10.1002/epi4.12348] [Citation(s) in RCA: 62] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Revised: 05/19/2019] [Accepted: 05/31/2019] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVE Molecular genetic etiologies in epilepsy have become better understood in recent years, creating important opportunities for precision medicine. Building on these advances, detailed studies of the complexities and outcomes of genetic testing for epilepsy can provide useful insights that inform and refine diagnostic approaches and illuminate the potential for precision medicine in epilepsy. METHODS We used a multi-gene next-generation sequencing (NGS) panel with simultaneous sequence and exonic copy number variant detection to investigate up to 183 epilepsy-related genes in 9769 individuals. Clinical variant interpretation was performed using a semi-quantitative scoring system based on existing professional practice guidelines. RESULTS Molecular genetic testing provided a diagnosis in 14.9%-24.4% of individuals with epilepsy, depending on the NGS panel used. More than half of these diagnoses were in children younger than 5 years. Notably, the testing had possible precision medicine implications in 33% of individuals who received definitive diagnostic results. Only 30 genes provided 80% of molecular diagnoses. While most clinically significant findings were single-nucleotide variants, ~15% were other types that are often challenging to detect with traditional methods. In addition to clinically significant variants, there were many others that initially had uncertain significance; reclassification of 1612 such variants with parental testing or other evidence contributed to 18.5% of diagnostic results overall and 6.1% of results with precision medicine implications. SIGNIFICANCE Using an NGS gene panel with key high-yield genes and robust analytic sensitivity as a first-tier test early in the diagnostic process, especially for children younger than 5 years, can possibly enable precision medicine approaches in a significant number of individuals with epilepsy.
Collapse
Affiliation(s)
| | - Nila Patil
- Departments of Pediatrics and NeurologyUniversity of California Los AngelesLos AngelesCalifornia
| | - Raman Sankar
- Departments of Pediatrics and NeurologyUniversity of California Los AngelesLos AngelesCalifornia
| | - Joseph Sullivan
- Pediatric Epilepsy CenterUniversity of California San FranciscoSan FranciscoCalifornia
| | - John Millichap
- Lurie Children's Hospital and Northwestern UniversityChicagoIllinois
| | - Gemma Carvill
- Ken and Ruth Davee Department of NeurologyNorthwestern UniversityChicagoIllinois
| | | | | | | | | | | | | | | | | | | | | | | | | | - Robert L. Nussbaum
- InvitaeSan FranciscoCalifornia
- Volunteer FacultyUniversity of California San FranciscoSan FranciscoCalifornia
| | | |
Collapse
|