ArticleHuman genomics2020
Investigating diagnostic sequencing techniques for CADASIL diagnosis.
Article in Human genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 19 citations in OpenAlex.
- Whole-exome sequencing identifies matrisomal gene associations in monogenic cerebral small vessel disease.Journal of neurology · 2026Article
- The Spectrum ofGenes · 2025Article
- Signaling pathways and molecular mechanisms involved in the onset and progression of cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL); a focus on Notch3 signaling.The journal of headache and pain · 2025Review
- Headache andNeurology international · 2023Article
- Exonic mutations in cell-cell adhesion may contribute to CADASIL-related CSVD pathology.Human genetics · 2023Article
- Genetic Causes of Cerebral Small Vessel Diseases: A Practical Guide for Neurologists.Neurology · 2023Review
- The potential value of Notch1 and DLL1 in the diagnosis and prognosis of patients with active TB.Frontiers in immunology · 2023Article
- PSEN2 Thr421Met Mutation in a Patient with Early Onset Alzheimer's Disease.International journal of molecular sciences · 2022Article
- NOTCH3 mutations in a cohort of Portuguese patients within CADASIL spectrum phenotype.Neurogenetics · 2022Article
- SQSTM1 gene as a potential genetic modifier of CADASIL phenotype.Journal of neurology · 2021Article
- Exploring the Hereditary Nature of Migraine.Neuropsychiatric disease and treatment · 2021Review
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is a cerebral small vessel disease caused by mutations in the NOTCH3 gene. Our laboratory has been undertaking genetic diagnostic testing for CADASIL since 1997. Work originally utilised Sanger sequencing methods targeting specific NOTCH3 exons. More recently, next-generation sequencing (NGS)-based technologies such as a targeted gene panel and whole exome sequencing (WES) have been used for improved genetic diagnostic testing. In this study, data from 680 patient samples was analysed for 764 tests utilising 3 different sequencing technologies. Sanger sequencing was performed for 407 tests, a targeted NGS gene panel which includes NOTCH3 exonic regions accounted for 354 tests, and WES with targeted analysis was performed for 3 tests. In total, 14.7% of patient samples (n = 100/680) were determined to have a mutation. Testing efficacy varied by method, with 10.8% (n = 44/407) of tests using Sanger sequencing able to identify mutations, with 15.8% (n = 56/354) of tests performed using the NGS custom panel successfully identifying mutations and a likely non-NOTCH3 pathogenic variant (n = 1/3) identified through WES. Further analysis was then performed through stratification of the number of mutations detected at our facility based on the number of exons, level of pathogenicity and the classification of mutations as known or novel. A systematic review of NOTCH3 mutation testing data from 1997 to 2017 determined the diagnostic rate of pathogenic findings and found the NGS-customised panel increases our ability to identify disease-causing mutations in NOTCH3.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.