Literature DB >> 29983107

[Significance of whole exome sequencing in the diagnostics of rare neurological diseases - own experiences through a case presenting with ataxia].

Péter Balicza1, Zoltán Grosz1, Renáta Bencsik1, Anett Illés1, Anikó Gál1, András Gézsi2, Mária Judit Molnár1.   

Abstract

Next generation sequencing (NGS) technologies reshape the diagnostics of rare neurological diseases. In the background of certain neurological symptoms, such as ataxia, many acquired and genetic causes may be present. Variations in a given gene can present with variable phenotypes, too. Because of this phenomenon, the conventional one gene sequencing approach often fails to identify the genetic background of a disease. Next generation sequencing panels allow to sequence 50-100 genes simultaneously, and if the disease stratification is not possible based on the clinical symptoms, whole exome sequencing can help in the diagnostic of genetic disorders with atypical presentation. This case study is about the exome sequencing of a patient with cerebellar ataxia. Genetic investigations identified rare variants in the SPG11 gene in association with the clinical phenotype, which gene was originally described in the background of hereditary spastic paraparesis. Our article highlights that in certain cases the variability of the leading presenting symptom makes it hard to select the correct gene panel. In our case the variants in the gene, formerly associated to hereditary spastic paraparesis, resulted in cerebellar ataxia initially, so even an ataxia NGS gene panel would not detect those. Orv Hetil. 2018; 159(28): 1163-1169.

Entities:  

Keywords:  SPG11; ataxia; neurogenetics; neurogenetika; next generation sequencing; új generációs szekvenálás

Mesh:

Year:  2018        PMID: 29983107     DOI: 10.1556/650.2018.31049

Source DB:  PubMed          Journal:  Orv Hetil        ISSN: 0030-6002            Impact factor:   0.540


  1 in total

1.  Description of combined ARHSP/JALS phenotype in some patients with SPG11 mutations.

Authors:  Marzieh Khani; Hosein Shamshiri; Farzad Fatehi; Mohammad Rohani; Bahram Haghi Ashtiani; Fahimeh Haji Akhoundi; Afagh Alavi; Hamidreza Moazzeni; Hanieh Taheri; Mina Tolou Ghani; Leila Javanparast; Seyyed Saleh Hashemi; Ramona Haji-Seyed-Javadi; Matineh Heidari; Shahriar Nafissi; Elahe Elahi
Journal:  Mol Genet Genomic Med       Date:  2020-05-08       Impact factor: 2.183

  1 in total

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