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Uncovering genetic mimics in multiple sclerosis: A single-center clinical exome sequencing study

  • Technical University of Munich
  • University of Tübingen
  • Munich Cluster for Systems Neurology (SyNergy)

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Background: Multiple sclerosis (MS) shares clinical/radiological features with several monogenic diseases that can mimic MS. Objective: We aimed to determine if exome sequencing can identify monogenic diseases in patients diagnosed with MS according to the McDonald criteria thus uncovering them as being misdiagnosed. Methods: We performed whole exome sequencing in a cohort of 278 patients with MS, clinically or radiologically isolated syndrome without cerebrospinal fluid-specific oligoclonal bands (CSF-OCBs) (n = 228), a positive family history of MS (n = 44), or both (n = 6), thereby focusing on individuals potentially more likely to have underlying monogenic conditions mimicking MS. We prioritized 495 genes associated with monogenic diseases sharing features with MS. Results: A disease-causing variant in NOTCH3 was identified in one patient without CSF-OCBs, no spinal lesions, with non-response to immunotherapy, and a family history of dementia, thereby converting the diagnosis to cerebral autosomal-dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL). Moreover, 18 patients (6.5% of total) carried variants of unclear significance. Conclusion: Monogenic diseases being misdiagnosed as MS seem rare in patients diagnosed with MS according to the McDonald criteria, even in CSF-OCB negative cases. The detected pathogenic NOTCH3 variant emphasizes CADASIL as a rare differential diagnosis and highlights the relevance of genetic testing in selected MS cases with atypical presentations.

Original languageEnglish
JournalMultiple Sclerosis Journal - Experimental, Translational and Clinical
Volume10
Issue number3
DOIs
StatePublished - 1 Jul 2024

Keywords

  • CADASIL
  • Multiple sclerosis
  • exome sequencing
  • genetic mimic
  • genetic testing
  • misdiagnosis

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