Scoring Algorithm-Based Genomic Testing in Dystonia: A Prospective Validation Study.
Mov Disord
; 36(8): 1959-1964, 2021 08.
Article
en En
| MEDLINE
| ID: mdl-33949708
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.Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Enfermedad de Parkinson
/
Trastornos Distónicos
/
Distonía
Tipo de estudio:
Diagnostic_studies
/
Guideline
/
Prognostic_studies
/
Risk_factors_studies
Límite:
Humans
Idioma:
En
Revista:
Mov Disord
Asunto de la revista:
NEUROLOGIA
Año:
2021
Tipo del documento:
Article
País de afiliación:
Alemania