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Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
Published on: April 4, 2018
Influence of different spectra of NOTCH3 variants on the clinical phenotype of CADASIL - experience from Slovakia
M Juhosová1, J Chandoga2, F Cisárik3
1Department of Molecular and Biochemical Genetics, Institute of Medical Biology, Genetics and Clinical Genetics, Faculty of Medicine of Comenius University, University Hospital, Mickiewiczova 13, 813 69, Bratislava, Slovakia. miriama033@gmail.com.
Insights
Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is difficult to diagnose due to variable symptoms. This study identified new NOTCH3 gene variants in Slovak patients, suggesting less strict genetic testing criteria for earlier diagnosis.
Area of Science:
- Neurology
- Genetics
- Vascular Biology
Background:
- Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is a common hereditary vascular disorder leading to strokes.
- Early CADASIL diagnosis is challenging due to variable clinical presentations and incomplete symptom profiles.
- NOTCH3 gene pathogenic variants and specific brain MRI findings are crucial for CADASIL diagnosis.
Purpose of the Study:
- To report the first comprehensive findings on CADASIL patients from Slovakia.
- To identify and characterize pathogenic NOTCH3 gene variants in a Slovak cohort.
- To correlate identified genotypes with clinical phenotypes and propose revised diagnostic criteria.
Main Methods:
- Genetic analysis of the NOTCH3 gene in patients with clinical suspicion of CADASIL.
- Identification and sequencing of pathogenic variants.
- Phenotype-genotype correlation analysis.
- Review of current diagnostic criteria for NOTCH3 gene analysis.
Main Results:
- Identified 23 distinct pathogenic NOTCH3 variants in 35 unrelated Slovak families.
- Confirmed a genetic diagnosis in 10.2% of patients with suspected CADASIL.
- Reported novel NOTCH3 variants including p.(Cys65Phe), p.(Pro86Leu/Ser502Phe), p.(Arg156*), p.(Cys408Arg), p.(Tyr423Cys), p.(Asp1720His), and p.(Asp1893Thrfs*13).
- Found the most frequent variant location in exon 4 and the most common single variant as p.Arg1076Cys in exon 20.
Conclusions:
- The study provides valuable insights into the genetic landscape of CADASIL in Slovakia.
- The findings support the need for re-evaluation of current criteria for NOTCH3 genetic testing.
- Less stringent criteria for genetic testing are recommended to facilitate earlier and broader CADASIL diagnosis.
Abstract:
Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is the most common hereditary vascular disorder causing ischaemic attacks and strokes in middle-aged adults. Though the clinical spectrum includes some typical symptoms, recognition of the disease, especially at an earlier stage, is very difficult because of the highly variable manifestation and incomplete clinical picture. Characteristic brain MRI findings and the presence of pathogenic variants in the NOTCH3 gene are fundamental for CADASIL diagnosis. In this paper, we provide the first comprehensive report on CADASIL patients from Slovakia. Altogether, we identified 23 different pathogenic variants in 35 unrelated families. In our cohort of patients with clinical suspicion of CADASIL, we found a causal genetic defect and confirmed the diagnosis in 10.2% of cases. We present the case reports with up-to-date unpublished NOTCH3 variants and describe their phenotype-genotype correlation: p.(Cys65Phe), p.(Pro86Leu/Ser502Phe), p.(Arg156*), p.(Cys408Arg), p.(Tyr423Cys), p.(Asp1720His), and p.(Asp1893Thrfs*13). The most frequently described location for pathogenic variants was in exon 4, whereas the most common single variant was p.Arg1076Cys in exon 20. Based on the results of our study, we propose a re-evaluation of the criteria for the selection of patients suitable for NOTCH3 gene analysis. We hereby state that the currently used protocol of a high score requirement is not ideal for assessing molecular analysis, and it will be desirable to be less strict in criteria for genetic testing.
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