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DYNC1H1 in Spinal Muscular Atrophy: Diagnostic Findings From Two Families and a Comprehensive Review of Its Role in Neuromuscular and Neurodevelopmental Disorders
Medical Genetics Laboratory, Alzahra University Hospital, Isfahan University of Medical Sciences, Iran.
Department of Neurology, Faculty of Medicine, Isfahan University of Medical Sciences, Iran.
Department of Neurology, Faculty of Medicine, Isfahan University of Medical Sciences, Iran.
Department of Neurology, Faculty of Medicine, Isfahan University of Medical Sciences, Iran.
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2025 (English)In: Molecular Genetics & Genomic Medicine, ISSN 2324-9269, Vol. 13, no 12, article id e70163Article in journal (Refereed) Published
Abstract [en]

Background

DYNC1H1 is a critical gene implicated in neurodevelopmental and neuromuscular disorders with overlapping and variable phenotypes that challenge diagnosis.

Methods and Results

Whole exome sequencing in patients presenting with motor neuron disease symptoms and a predominant pattern of lower-limb muscle weakness revealed pathogenic DYNC1H1 variants. This expands the known phenotypic spectrum to include rare features such as scapular winging and camptocormia. Clinical evaluations of affected individuals revealed features consistent with SMA-LED, reinforcing the role of DYNC1H1 in neuromuscular disorders. A review of 208 published DYNC1H1 variants highlighted significant clustering in the tail domain, primarily associated with neuromuscular conditions like SMA-LED. Approximately 28% of variants exhibited overlapping neuromuscular and neurodevelopmental features, emphasizing the diagnostic challenges posed by phenotypic overlap. These findings underscore the necessity of comprehensive clinical and genetic evaluations to address the variability observed within families and improve genotype–phenotype correlations.

Conclusion

This study reinforces the importance of DYNC1H1 in motor neuron function and its pivotal role in neurodevelopmental and neuromuscular disease mechanisms. The integration of exome sequencing in clinical practice is essential for identifying rare and novel variants, enhancing diagnostic accuracy. We recommend incorporating DYNC1H1 screening into diagnostic workflows to advance understanding and management of conditions with overlapping phenotypes.

Place, publisher, year, edition, pages
John Wiley & Sons, 2025. Vol. 13, no 12, article id e70163
National Category
Neurosciences Medical Genetics and Genomics Neurology
Research subject
Translational Medicine TRIM
Identifiers
URN: urn:nbn:se:his:diva-26085DOI: 10.1002/mgg3.70163ISI: 001643997600001PubMedID: 41424373Scopus ID: 2-s2.0-105025378722OAI: oai:DiVA.org:his-26085DiVA, id: diva2:2023868
Funder
EU, FP7, Seventh Framework Programme, 608473
Note

CC BY-NC-ND 4.0

Correspondence: Mahsa M. Amoli (amolimm@tums.ac.ir) | Homa Tajsharghi (homa.tajsharghi@his.se)

This work was supported by the European Union's Seventh Framework Program for research, technological development and demonstration under grant agreement no. 608473. EU-Mobility for Regional Excellence (MoRE).

Available from: 2025-12-22 Created: 2025-12-22 Last updated: 2026-01-02Bibliographically approved

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1213141516171817 of 18
CiteExportLink to record
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