Scoring algorithm‐based genomic testing in Dystonia: A prospective validation study

Abstract: Background
Despite the established value of genomic testing strategies, practice guidelines for their use do not exist in many indications.

Objectives
We sought to validate a recently introduced scoring algorithm for dystonia, predicting the diagnostic utility of whole-exome sequencing (WES) based on individual phenotypic aspects (age-at-onset, body distribution, presenting comorbidity).

Methods
We prospectively enrolled a set of 209 dystonia-affected families and obtained summary scores (0–5 points) according to the algorithm. Singleton (N = 146), duo (N = 11), and trio (N = 52) WES data were generated to identify genetic diagnoses.

Results
Diagnostic yield was highest (51%) among individuals with a summary score of 5, corresponding to a manifestation of early-onset segmental or generalized dystonia with coexisting non-movement disorder-related neurological symptoms. Sensitivity and specificity at the previously suggested threshold for implementation of WES (3 points) was 96% and 52%, with area under the curve of 0.81.

Conclusions
The algorithm is a useful predictive tool and could be integrated into dystonia routine diagnostic protocols. © 2021 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson Movement Disorder Society

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch
Anmerkungen
Movement disorders. - 38, 8 (2021) , 1959-1964, ISSN: 1531-8257

Ereignis
Veröffentlichung
(wo)
Freiburg
(wer)
Universität
(wann)
2021

DOI
10.1002/mds.28614
URN
urn:nbn:de:bsz:25-freidok-2185190
Rechteinformation
Kein Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
25.03.2025, 13:50 MEZ

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Entstanden

  • 2021

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