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Marini C, Giardino M. Novel treatments in epilepsy guided by genetic diagnosis. Br J Clin Pharmacol 2021; 88:2539-2551. [PMID: 34778987 DOI: 10.1111/bcp.15139] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 10/22/2021] [Accepted: 11/04/2021] [Indexed: 12/21/2022] Open
Abstract
In recent years, precision medicine has emerged as a new paradigm for improved and more individualized patient care. Its key objective is to provide the right treatment, to the right patient at the right time, by basing medical decisions on individual characteristics, including specific genetic biomarkers. In order to realize this objective researchers and physicians must first identify the underlying genetic cause; over the last 10 years, advances in genetics have made this possible for several monogenic epilepsies. Through next generation techniques, a precise genetic aetiology is attainable in 30-50% of genetic epilepsies beginning in the paediatric age. While committed in such search for novel genes carrying disease-causing variants, progress in the study of experimental models of epilepsy has also provided a better understanding of the mechanisms underlying the condition. Such advances are already being translated into improving care, management and treatment of some patients. Identification of a precise genetic aetiology can already direct physicians to prescribe treatments correcting specific metabolic defects, avoid antiseizure medicines that might aggravate functional consequences of the disease-causing variant or select the drugs that counteract the underlying, genetically determined, functional disturbance. Personalized, tailored treatments should not just focus on how to stop seizures but possibly prevent their onset and cure the disorder, often consisting of seizures and its comorbidities including cognitive, motor and behaviour deficiencies. This review discusses the therapeutic implications following a specific genetic diagnosis and the correlation between genetic findings, pathophysiological mechanisms and tailored seizure treatment, emphasizing the impact on current clinical practice.
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Affiliation(s)
- Carla Marini
- Child Neurology and Psychiatric Unit, Pediatric Hospital G. Salesi, United Hospitals of Ancona, Ancona, Italy
| | - Maria Giardino
- Child Neurology and Psychiatric Unit, Pediatric Hospital G. Salesi, United Hospitals of Ancona, Ancona, Italy
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Shickh S, Mighton C, Uleryk E, Pechlivanoglou P, Bombard Y. The clinical utility of exome and genome sequencing across clinical indications: a systematic review. Hum Genet 2021; 140:1403-1416. [PMID: 34368901 DOI: 10.1007/s00439-021-02331-x] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 07/31/2021] [Indexed: 12/15/2022]
Abstract
Exome sequencing and genome sequencing have the potential to improve clinical utility for patients undergoing genetic investigations. However, evidence of clinical utility is limited to pediatric populations; we aimed to fill this gap by conducting a systematic review of the literature on the clinical utility of exome/genome sequencing across disease indications in pediatric and adult populations. MEDLINE, EMBASE and Cochrane Library were searched between 2016 and 2020. Quantitative studies evaluating diagnostic yield were included; other measures of clinical utility such as changes to clinical management were documented if reported. Two reviewers screened, extracted data, and appraised risk of bias. Fifty studies met our inclusion criteria. All studies reported diagnostic yield, which ranged from 3 to 70%, with higher range of yields reported for neurological indications and acute illness ranging from 22 to 68% and 37-70%, respectively. Diagnoses triggered a range of clinical management changes including surveillance, reproductive-risk counseling, and identifying at-risk relatives in 4-100% of patients, with higher frequencies reported for acute illness ranging from 67 to 95%. The frequency of variants of uncertain significance ranged from 5 to 85% across studies with a potential trend of decreasing frequency over time and higher rates identified in patients of non-European ancestry. This review provides evidence for a higher range of diagnostic yield of exome/genome sequencing compared to standard genetic tests, particularly in neurological and acute indications. However, we identified significant heterogeneity in study procedures and outcomes, precluding a meaningful meta-analysis and certainty in the evidence available for decision-making. Future research that incorporates a comprehensive and consistent approach in capturing clinical utility of exome/genome sequencing across broader ancestral groups is necessary to improve diagnostic accuracy and yield and allow for analysis of trends over time.Prospero registration CRD42019094101.
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Affiliation(s)
- Salma Shickh
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.,Genomics Health Services Research Program, Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, ON, Canada
| | - Chloe Mighton
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.,Genomics Health Services Research Program, Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, ON, Canada
| | | | - Petros Pechlivanoglou
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.,The Hospital for Sick Children, Toronto, ON, Canada
| | - Yvonne Bombard
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada. .,Genomics Health Services Research Program, Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, ON, Canada. .,Li Ka Shing Knowledge Institute of St. Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada.
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Atli EI, Atli E, Yalcintepe S, Demir S, Kalkan R, Eker D, Gurkan H. Customized Targeted Massively Parallel Sequencing Enables More Precisely Diagnosis of Patients with Epilepsy. Intern Med J 2021; 52:1174-1184. [PMID: 33528079 DOI: 10.1111/imj.15219] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 01/18/2021] [Accepted: 01/23/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND Advancement in genetic technology has led to the identification of an increasing number of genes in epilepsy. This will provide a huge information in clinical practice and improve diagnosis and treatment of epilepsy. METHODS this was a single-center retrospective cohort study of 80 patients who underwent NGS testing with customize epilepsy panel. RESULTS In total 54 out of 80 patients (67, 5%), pathogenic / likely pathogenic and variants of uncertain significance variants were identified according to ACMG criteria. Pathogenic or likely pathogenic variants (n=35) were identified in 29 out of 80 individuals (36.25%). Variants of uncertain significance (VOUS) (n=34) have identified in 28 out of 80 patients (35%). Pathogenic, likely pathogenic, and variants of uncertain significance (VOUS) were most frequently identified in TSC2 (n = 11), SCN1A (n = 6) and TSC1 (n = 5) genes. Other common genes were KCNQ2 (n = 3), AMT (n = 3), CACNA1H (n = 3), CLCN2 (n = 3), MECP2 (n = 2), ASAH1 (n = 2) and SLC2A1 (n = 2). CONCLUSIONS NGS based testing panels contributes the diagnosis of epilepsy and may change the clinical management by preventing unnecessary and potentially harmful diagnostic procedures and management in patients. Thus, our results highlighted the benefit of genetic testing in children suffered with epilepsy. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Emine Ikbal Atli
- Faculty of Medicine, Department of Medical Genetics, Edirne, Trakya University, Edirne, Turkey
| | - Engin Atli
- Faculty of Medicine, Department of Medical Genetics, Edirne, Trakya University, Edirne, Turkey
| | - Sinem Yalcintepe
- Faculty of Medicine, Department of Medical Genetics, Edirne, Trakya University, Edirne, Turkey
| | - Selma Demir
- Faculty of Medicine, Department of Medical Genetics, Edirne, Trakya University, Edirne, Turkey
| | - Rasime Kalkan
- Faculty of Medicine, Department of Medical Genetics, Near East University, Nicosia, Cyprus
| | - Damla Eker
- Faculty of Medicine, Department of Medical Genetics, Edirne, Trakya University, Edirne, Turkey
| | - Hakan Gurkan
- Faculty of Medicine, Department of Medical Genetics, Edirne, Trakya University, Edirne, Turkey
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