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Monogenic variants in dystonia: an exome-wide sequencing study.

Michael Zech1, Robert Jech2, Sylvia Boesch3

  • 1Institute of Neurogenomics, Helmholtz Zentrum München, Munich, Germany; Institute of Human Genetics, Technical University of Munich, Munich, Germany.

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Summary

This study identified monogenic causes for dystonia, finding diagnostic variants in 19% of families and highlighting genes linked to neurodevelopmental disorders. This advances understanding and personalized care for dystonia patients.

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Area of Science:

  • Genetics
  • Neurology
  • Genomics

Background:

  • Dystonia is a complex neurological disorder with varied clinical presentations, including isolated, combined, and multisymptomatic forms.
  • The precise genetic underpinnings of dystonia remain incompletely understood, necessitating further etiological investigations.

Purpose of the Study:

  • To identify the monogenic causes of dystonia across its major clinical categories.
  • To investigate the genetic basis of isolated dystonia, combined dystonia, and dystonia with other neurological involvement.

Main Methods:

  • Whole-exome sequencing was performed on 764 individuals with dystonia and 346 healthy parents from multiple European centers.
  • Variants were filtered, classified using ACMG guidelines, and validated through expert review to identify diagnostic variants.
  • Candidate genes were prioritized using a stepwise workflow for undiagnosed cases.

Main Results:

  • Diagnostic variants were identified in 135 (19%) of 728 families, revealing 78 distinct monogenic disorders.
  • Individuals with dystonia and coexisting non-movement neurological symptoms showed a higher diagnostic yield (45%) compared to isolated (4%) or combined dystonia (19%).
  • Sixty-five percent of detected variants affected genes associated with neurodevelopmental disorders, and 11 novel dystonia-associated genes were identified.

Conclusions:

  • Monogenic variants play a significant role across the spectrum of dystonic disorders.
  • Findings provide a basis for personalized care strategies and future research into dystonia pathophysiology.
  • Genomic analysis is crucial for diagnosing dystonic cerebral palsy in cases without perinatal injury.