Genetic variant interpretation for the neurologist - A pragmatic approach in the next-generation sequencing era in childhood epilepsy.

Childhood epilepsy Developmental epileptic encephalopathy Genetic testing Next generation sequencing Variant interpretation

Journal

Epilepsy research
ISSN: 1872-6844
Titre abrégé: Epilepsy Res
Pays: Netherlands
ID NLM: 8703089

Informations de publication

Date de publication:
Mar 2024
Historique:
received: 27 11 2023
revised: 14 02 2024
accepted: 29 02 2024
pubmed: 6 3 2024
medline: 6 3 2024
entrez: 6 3 2024
Statut: ppublish

Résumé

Genetic advances over the past decade have enhanced our understanding of the genetic landscape of childhood epilepsy. However a major challenge for clinicians ha been understanding the rationale and systematic approach towards interpretation of the clinical significance of variant(s) detected in their patients. As the clinical paradigm evolves from gene panels to whole exome or whole genome testing including rapid genome sequencing, the number of patients tested and variants identified per patient will only increase. Each step in the process of variant interpretation has limitations and there is no single criterion which enables the clinician to draw reliable conclusions on a causal relationship between the variant and disease without robust clinical phenotyping. Although many automated online analysis software tools are available, these carry a risk of misinterpretation. This guideline provides a pragmatic, real-world approach to variant interpretation for the child neurologist. The focus will be on ascertaining aspects such as variant frequency, subtype, inheritance pattern, structural and functional consequence with regard to genotype-phenotype correlations, while refraining from mere interpretation of the classification provided in a genetic test report. It will not replace the expert advice of colleagues in clinical genetics, however as genomic investigations become a first-line test for epilepsy, it is vital that neurologists and epileptologists are equipped to navigate this landscape.

Identifiants

pubmed: 38447235
pii: S0920-1211(24)00056-1
doi: 10.1016/j.eplepsyres.2024.107341
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

107341

Informations de copyright

Copyright © 2024 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Conflicts of interest None

Auteurs

Alfiya Fasaludeen (A)

Dept of Neurology, Sree Chitra Tirunal Institute for Medical Sciences & Technology (SCTIMST), Thiruvananthapuram, Kerala, India.

Amy McTague (A)

Developmental Neurosciences, UCL Great Ormond Street Institute of Child Health, London, United Kingdom; Department of Neurology, Great Ormond Street Hospital, London, United Kingdom.

Manna Jose (M)

Dept of Neurology, Sree Chitra Tirunal Institute for Medical Sciences & Technology (SCTIMST), Thiruvananthapuram, Kerala, India.

Moinak Banerjee (M)

Human Molecular Genetics Laboratory, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, Kerala, India.

Soumya Sundaram (S)

Dept of Neurology, Sree Chitra Tirunal Institute for Medical Sciences & Technology (SCTIMST), Thiruvananthapuram, Kerala, India.

U K Madhusoodanan (UK)

Department of Biochemistry, Sree Chitra Tirunal Institute for Medical Sciences & Technology (SCTIMST), Thiruvananthapuram, Kerala, India.

Ashalatha Radhakrishnan (A)

Dept of Neurology, Sree Chitra Tirunal Institute for Medical Sciences & Technology (SCTIMST), Thiruvananthapuram, Kerala, India.

Ramshekhar N Menon (RN)

Dept of Neurology, Sree Chitra Tirunal Institute for Medical Sciences & Technology (SCTIMST), Thiruvananthapuram, Kerala, India. Electronic address: rsnmenon@yahoo.com.

Classifications MeSH