ArticleJAMA network open2019
Development and Validation of a Targeted Next-Generation Sequencing Gene Panel for Children With Neuroinflammation.
Article in JAMA network open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Whole exome sequencing of paediatric patients with Cogan's syndrome to identify monogenic mimics.Rheumatology (Oxford, England) · 2026Article
- Evaluation of the Relationship Between Neurologic Manifestations and Genetic Mutations in Wilson's Disease with Next-Generation Sequencing.Diagnostics (Basel, Switzerland) · 2025Article
- SomaticFrontiers in pediatrics · 2025Article
- Can early-onset acquired demyelinating syndrome (ADS) hide pediatric Behcet's disease? A case report.Frontiers in pediatrics · 2023Article
- A practical approach to in-hospital management of new-onset refractory status epilepticus/febrile infection related epilepsy syndrome.Frontiers in neurology · 2023Review
- Genetic variation in genes of inborn errors of immunity in children with unexplained encephalitis.Genes and immunity · 2022Article
- Article
- A model of metformin mitochondrial metabolism in metachromatic leukodystrophy: first description of human Schwann cells transfected with CRISPR-Cas9.Open biology · 2022Article
- A rapid turnaround gene panel for severe autoinflammation: Genetic results within 48 hours.Frontiers in immunology · 2022Article
- GLRX5-associated [Fe-S] cluster biogenesis disorder: further characterisation of the neurological phenotype and long-term outcome.Orphanet journal of rare diseases · 2021Article
- MRI Patterns in Pediatric CNS Hemophagocytic Lymphohistiocytosis.AJNR. American journal of neuroradiology · 2021Article
- Neuroinflammation Associated With Inborn Errors of Immunity.Frontiers in immunology · 2021Review
- A case of Myhre syndrome mimicking juvenile scleroderma.Pediatric rheumatology online journal · 2020Article
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Authors and funding
18 authors.
Funding
Abstract
Importance: Neuroinflammatory disorders are a range of severe neurological disorders causing brain and spinal inflammation and are now increasingly recognized in the pediatric population. They are often characterized by marked genotypic and phenotypic heterogeneity, complicating diagnostic work in clinical practice and molecular diagnosis. Objective: To develop and evaluate a next-generation sequencing panel targeting genes causing neuroinflammation or mimicking neuroinflammation. Design, Setting, and Participants: Cohort study in which a total of 257 genes associated with monogenic neuroinflammation and/or cerebral vasculopathy, including monogenic noninflammatory diseases mimicking these entities, were selected. A customized enrichment capture array, the neuroinflammation gene panel (NIP), was created. Targeted high-coverage sequencing was applied to DNA samples taken from eligible patients referred to Great Ormond Street Hospital in London, United Kingdom, between January 1, 2017, and January 30, 2019, because of onset of disease early in life, family history, and/or complex neuroinflammatory phenotypes. Main Outcomes and Measures: The main outcome was the percentage of individuals with definitive molecular diagnoses, variant classification, and clinical phenotyping of patients with pathogenic variants identified using the NIP panel. The NIP panel was initially validated in 16 patients with known genetic diagnoses. Results: The NIP was both sensitive (95%) and specific (100%) for detection of known mutations, including gene deletions, copy number variants, small insertions and deletions, and somatic mosaicism with allele fraction as low as 3%. Prospective testing of 60 patients (30 [50%] male; median [range] age, 9.8 [0.8-20] years) presenting with heterogeneous neuroinflammatory phenotypes revealed at least 1 class 5 (clearly pathogenic) variant in 9 of 60 patients (15%); 18 of 60 patients (30%) had at least 1 class 4 (likely pathogenic) variant. Overall, a definitive molecular diagnosis was established in 12 of 60 patients (20%). Conclusions and Relevance: The NIP was associated with molecular diagnosis in this cohort and complemented routine laboratory and radiological workup of patients with neuroinflammation. Unexpected genotype-phenotype associations in patients with pathogenic variants deviating from the classic phenotype were identified. Obtaining an accurate molecular diagnosis in a timely fashion informed patient management, including successful targeted treatment in some instances and early institution of hematopoietic stem cell transplantation in others.
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