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Genotype-phenotype relations for episodic ataxia genes: MDSGene systematic review
Diana Angelika Olszewska1, Aakash Shetty2, Rajasumi Rajalingam1
1Edmond J. Safra Program in Parkinson's Disease and the Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, Division of Neurology, University of Toronto, Toronto, Ontario, Canada.
Episodic ataxias (EA) show significant genetic overlap, making genotype-phenotype correlation challenging. Broad genetic testing panels are recommended for accurate diagnosis of these paroxysmal movement disorders.
Area of Science:
- Genetics
- Neurology
- Rare Diseases
Background:
- Episodic ataxias (EA) are typically autosomal dominant disorders characterized by recurrent ataxia attacks.
- Pathogenic variants in CACNA1A, KCNA1, PDHA1, and SLC1A3 genes are common causes of EA, classified as paroxysmal movement disorders (PxMD).
- Understanding genotype-phenotype correlations in genetic EA forms remains limited.
Approach:
- A systematic literature review was conducted using the MDSGene protocol.
- Data from 717 patients with pathogenic variants in the four key EA genes were extracted and analyzed.
- Clinical and genetic features were summarized to explore genotype-phenotype relationships.
Key Points:
- Analysis of 717 patients revealed 287 distinct pathogenic variants across CACNA1A, KCNA1, PDHA1, and SLC1A3 genes.
- Profound phenotypic variability and overlap were observed among different genetic forms of EA.
- A clear genotype-phenotype correlation is largely absent, with only a few specific 'red flags' identified.
Conclusions:
- The significant overlap in clinical presentation complicates specific genotype-phenotype correlations in episodic ataxias.
- A comprehensive genetic testing strategy, such as gene panels or whole exome/genome sequencing, is the most practical approach.
- This broad testing strategy aids in diagnosing the diverse spectrum of paroxysmal movement disorders associated with these genes.
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