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[Diagnostic algorithm for autosomal recessive ataxia].

E P Nuzhnyi1, N Yu Abramycheva1, S A Klyushnikov1

  • 1Research Center of Neurology, Moscow, Russia.

Zhurnal Nevrologii I Psikhiatrii Imeni S.S. Korsakova
|October 19, 2019
PubMed
Summary
This summary is machine-generated.

A new diagnostic algorithm aids in identifying autosomal recessive ataxia (ARA) in Russian patients. This approach utilizes clinical evaluation and genetic testing to improve diagnostic accuracy for degenerative ataxias.

Keywords:
autosomal recessive ataxiaclinical presentationdiagnostic algorithmgenetic diagnosismassive parallel sequencing

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Area of Science:

  • Neurology
  • Medical Genetics

Background:

  • Degenerative ataxias present a diagnostic challenge, particularly in identifying specific genetic causes.
  • Autosomal recessive ataxia (ARA) requires precise diagnostic methods for effective patient management.

Purpose of the Study:

  • To develop and validate a diagnostic algorithm for autosomal recessive ataxia (ARA) tailored for Russian patients.
  • To improve the diagnostic yield for degenerative ataxias, including hereditary and non-hereditary forms.

Main Methods:

  • Clinical assessment of 48 patients using ataxia (SARA, ICARS) and cognitive (MoCA) scales.
  • Laboratory investigations including electromyography, brain MRI, and DNA analysis for known ataxia-related mutations.
  • Application of a multigenic Next-Generation Sequencing (NGS) panel for mutation screening in 28 patients.

Main Results:

  • Identified non-hereditary ataxias in 16.7% (alcoholic degeneration, multiple system atrophy).
  • Diagnosed genetic ataxias including Friedreich's disease (18.8%) and other SCAs (6.3%) via routine DNA tests.
  • The NGS panel successfully diagnosed ARA in 28.6% of screened patients, identifying conditions like ataxia-telangiectasia and SANDO syndrome.

Conclusions:

  • A comprehensive diagnostic algorithm integrating clinical and genetic data is proposed for degenerative ataxias.
  • The algorithm is recommended for evaluating patients with sporadic and autosomal recessive ataxia, enhancing diagnostic capabilities.