Genotype–phenotype relations for episodic ataxia genes: MDSGene systematic review

Author:

Olszewska Diana Angelika1ORCID,Shetty Aakash2,Rajalingam Rajasumi1,Rodriguez‐Antiguedad Jon3,Hamed Moath4,Huang Jana1,Breza Marianthi5,Rasheed Ashar1,Bahr Natascha6,Madoev Harutyan6,Westenberger Ana6,Trinh Joanne6,Lohmann Katja6,Klein Christine6ORCID,Marras Connie1,Waln Olga7

Affiliation:

1. Edmond 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

2. Department of Neurology, Faculty of Medicine and Dentistry University of Alberta Edmonton Alberta Canada

3. Movement Disorders Unit and Institut d'Investigacions Biomediques‐Sant Pau Hospital Sant Pau Barcelona Spain

4. Department of Neurosciences NYP Brooklyn Methodist Hospital Brooklyn New York USA

5. University College London London UK

6. Institute of Neurogenetics University of Lübeck Lübeck Germany

7. Houston Methodist Neurological Institute, Weill Cornell Medical College New York New York USA

Abstract

AbstractBackgroundMost episodic ataxias (EA) are autosomal dominantly inherited and characterized by recurrent attacks of ataxia and other paroxysmal and non‐paroxysmal features. EA is often caused by pathogenic variants in the CACNA1A, KCNA1, PDHA1, and SLC1A3 genes, listed as paroxysmal movement disorders (PxMD) by the MDS Task Force on the Nomenclature of Genetic Movement Disorders. Little is known about the genotype–phenotype correlation of the different genetic EA forms.MethodsWe performed a systematic review of the literature to identify individuals affected by an episodic movement disorder harboring pathogenic variants in one of the four genes. We applied the standardized MDSGene literature search and data extraction protocol to summarize the clinical and genetic features. All data are available via the MDSGene protocol and platform on the MDSGene website (https://www.mdsgene.org/).ResultsInformation on 717 patients (CACNA1A: 491, KCNA1: 125, PDHA1: 90, and SLC1A3: 11) carrying 287 different pathogenic variants from 229 papers was identified and summarized. We show the profound phenotypic variability and overlap leading to the absence of frank genotype–phenotype correlation aside from a few key ‘red flags’.ConclusionGiven this overlap, a broad approach to genetic testing using a panel or whole exome or genome approach is most practical in most circumstances.

Publisher

Wiley

Subject

Neurology (clinical),Neurology

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