UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Heterogeneity in clinical features and disease severity in ataxia-associated SYNE1 mutations

Wiethoff, S; Hersheson, J; Bettencourt, C; Wood, NW; Houlden, H; (2016) Heterogeneity in clinical features and disease severity in ataxia-associated SYNE1 mutations. Journal of Neurology , 263 (8) pp. 1503-1510. 10.1007/s00415-016-8148-6. Green open access

[thumbnail of art_10.1007_s00415-016-8148-6.pdf]
Preview
Text
art_10.1007_s00415-016-8148-6.pdf - Published Version

Download (1MB) | Preview

Abstract

The autosomal recessive spinocerebellar ataxias are an exciting field of study, with a growing number of causal genes and an expanding phenotypic spectrum. SYNE1 was originally discovered in 2007 as the causal gene underlying autosomal recessive spinocerebellar ataxia 1, a disease clinically thought to manifest with mainly pure cerebellar ataxia. Since the original report SYNE1 mutations have also been identified in families with motor neuronopathy and arthrogryposis but few families have been screened as the gene is very large at 146 exons in length. We screened 196 recessive and sporadic ataxia patients for mutations in SYNE1 using next generation sequencing in order to assess its frequency and extend the clinicogenetic spectrum. We identified four novel truncating mutations spread throughout the SYNE1 gene from three families living in London that originated from England, Turkey and Sri Lanka. The phenotype was mainly pure cerebellar ataxia in two families, cognitive decline was present in all three families, axonal neuropathy in one family and marked spasticity in the Turkish family, with a range of disease severities. Searching for genotype-phenotype correlations in the SYNE1 gene, defects located near the 3' prime end of the gene are more frequently associated with motor neuron or neuromuscular involvement so far. Our data indicate SYNE1 mutations are not an uncommon cause of recessive ataxia with or without additional clinical features in patients from various ethnicities. The use of next generation sequencing allows the rapid analysis of large genes and will likely reveal more SYNE1 associated cases and further expand genotype-phenotype correlations.

Type: Article
Title: Heterogeneity in clinical features and disease severity in ataxia-associated SYNE1 mutations
Location: Germany
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/s00415-016-8148-6
Publisher version: http://dx.doi.org/10.1007/s00415-016-8148-6
Additional information: © The Author(s) 2016. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Keywords: Clinical severity, Gene, Genotype–phenotype, Mutation, SYNE1, Spinocerebellar ataxia
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Clinical and Movement Neurosciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Department of Neuromuscular Diseases
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neurodegenerative Diseases
URI: https://discovery.ucl.ac.uk/id/eprint/1494333
Downloads since deposit
70Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item