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Movement Disorders
Article . 2025 . Peer-reviewed
License: CC BY NC ND
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Long‐Read Sequencing: The Third Generation of Diagnostic Testing for Dystonia

Authors: Thomas Wirth; Kishore R. Kumar; Michael Zech;

Long‐Read Sequencing: The Third Generation of Diagnostic Testing for Dystonia

Abstract

AbstractLong‐read sequencing methodologies provide powerful capacity to identify all types of genomic variations in a single test. Long‐read platforms such as Oxford Nanopore and PacBio have the potential to revolutionize molecular diagnostics by reaching unparalleled accuracies in genetic discovery and long‐range phasing. In the field of dystonia, promising results have come from recent pilot studies showing improved detection of disease‐causing structural variants and repeat expansions. Increases in throughput and ongoing reductions in cost will facilitate the incorporation of long‐read approaches into mainstream diagnostic practice. Although these developments are likely to transform clinical care, there is currently a discrepancy between the potential benefits of long‐read sequencing and the application of this technique to dystonia. In this review we highlight current opportunities and limitations of adopting long‐read sequencing methods for the investigation of patients with dystonia. We provide examples of long‐read sequencing integration into diagnostic evaluation and the study of pathomechanisms in individuals with dystonic disorders. The goal of this article is to stimulate research into the application and optimization of long‐read analysis strategies in dystonia, thus enabling more precise understanding of the underlying etiology in the future. © 2025 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Keywords

Dystonia, Dystonic Disorders, Humans, High-Throughput Nucleotide Sequencing, Review, Genetic Testing

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Top 10%
Green
hybrid