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

Julia M. Mandler, Johanna Härtl, Isabell Cordts, Marc Sturm, Dennis M. Hedderich, Cemsel Bafligil, Enayatullah Baki, Benedikt Becker, Gerrit Machetanz, Tobias B. Haack, Achim Berthele, Bernhard Hemmer, Marcus Deschauer

Publikation: Beitrag in FachzeitschriftArtikelBegutachtung

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.

OriginalspracheEnglisch
FachzeitschriftMultiple Sclerosis Journal - Experimental, Translational and Clinical
Jahrgang10
Ausgabenummer3
DOIs
PublikationsstatusVeröffentlicht - 1 Juli 2024
Extern publiziertJa

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