Dissecting genetic architecture of rare dystonia: genetic, molecular and clinical insights.

Gene Ontology gene expression profiling genetics, medical nervous system diseases neurodegenerative diseases

Journal

Journal of medical genetics
ISSN: 1468-6244
Titre abrégé: J Med Genet
Pays: England
ID NLM: 2985087R

Informations de publication

Date de publication:
19 Apr 2024
Historique:
received: 08 12 2022
accepted: 24 12 2023
pubmed: 9 3 2024
medline: 9 3 2024
entrez: 8 3 2024
Statut: epublish

Résumé

Dystonia is one of the most common movement disorders. To date, the genetic causes of dystonia in populations of European descent have been extensively studied. However, other populations, particularly those from the Middle East, have not been adequately studied. The purpose of this study is to discover the genetic basis of dystonia in a clinically and genetically well-characterised dystonia cohort from Turkey, which harbours poorly studied populations. Exome sequencing analysis was performed in 42 Turkish dystonia families. Using co-expression network (CEN) analysis, identified candidate genes were interrogated for the networks including known dystonia-associated genes and genes further associated with the protein-protein interaction, animal model-based characteristics and clinical findings. We identified potentially disease-causing variants in the established dystonia genes ( Here, using a structured approach, we have characterised a clinically and genetically well-defined dystonia cohort from Turkey, where dystonia has not been widely studied, and provided an uncovered genetic basis, which will facilitate diagnostic dystonia research.

Sections du résumé

BACKGROUND BACKGROUND
Dystonia is one of the most common movement disorders. To date, the genetic causes of dystonia in populations of European descent have been extensively studied. However, other populations, particularly those from the Middle East, have not been adequately studied. The purpose of this study is to discover the genetic basis of dystonia in a clinically and genetically well-characterised dystonia cohort from Turkey, which harbours poorly studied populations.
METHODS METHODS
Exome sequencing analysis was performed in 42 Turkish dystonia families. Using co-expression network (CEN) analysis, identified candidate genes were interrogated for the networks including known dystonia-associated genes and genes further associated with the protein-protein interaction, animal model-based characteristics and clinical findings.
RESULTS RESULTS
We identified potentially disease-causing variants in the established dystonia genes (
CONCLUSIONS CONCLUSIONS
Here, using a structured approach, we have characterised a clinically and genetically well-defined dystonia cohort from Turkey, where dystonia has not been widely studied, and provided an uncovered genetic basis, which will facilitate diagnostic dystonia research.

Identifiants

pubmed: 38458754
pii: jmg-2022-109099
doi: 10.1136/jmg-2022-109099
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

443-451

Informations de copyright

© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Auteurs

Burcu Atasu (B)

Eberhard Karls Universität Tübingen Hertie Institut für klinische Hirnforschung Allgemeine Neurologie, Tubingen, Germany.

Javier Simón-Sánchez (J)

Eberhard Karls Universität Tübingen Hertie Institut für klinische Hirnforschung Allgemeine Neurologie, Tubingen, Germany.

Hasmet Hanagasi (H)

Department of Neurology, Istanbul University Istanbul Faculty of Medicine, Istanbul, Turkey.

Basar Bilgic (B)

Department of Neurology, Istanbul University Istanbul Faculty of Medicine, Istanbul, Turkey.

Ann-Kathrin Hauser (AK)

Eberhard Karls Universität Tübingen Hertie Institut für klinische Hirnforschung Allgemeine Neurologie, Tubingen, Germany.

Gamze Guven (G)

Genetics Department, Aziz Sancar Institute of Experimental Medicine, Istanbul, Turkey.

Peter Heutink (P)

DZNE Tübingen, Tübingen, Germany.

Thomas Gasser (T)

Eberhard Karls Universität Tübingen Hertie Institut für klinische Hirnforschung Allgemeine Neurologie, Tubingen, Germany.

Ebba Lohmann (E)

Eberhard Karls Universität Tübingen Hertie Institut für klinische Hirnforschung Allgemeine Neurologie, Tubingen, Germany ebbalohmann@gmx.net.

Classifications MeSH