J 2021

Scoring Algorithm-Based Genomic Testing in Dystonia: A Prospective Validation Study

ZECH, M., R. JECH, S. BOESCH, M. SKORVANEK, J. NECPAL et. al.

Basic information

Original name

Scoring Algorithm-Based Genomic Testing in Dystonia: A Prospective Validation Study

Authors

ZECH, M. (guarantor), R. JECH, S. BOESCH, M. SKORVANEK, J. NECPAL, J. SVANTNEROVA, M. WAGNER, A. SADR-NABAVI, F. DISTELMAIER, M. KRENN, T. SERRANOVA, Irena REKTOROVÁ (203 Czech Republic, belonging to the institution), P. HAVRANKOVA, A. MOSEJOVA, I. PRIHODOVA, J. SARLAKOVA, K. KULCSAROVA, O. ULMANOVA, K. BECHYNE, M. OSTROZOVICOVA, V. HAN, J. R. VENTOSA, T. BRUNET, R. BERUTTI, M. SHARIATI, A. SHOEIBI, S. A. SCHNEIDER, A. KUSTER, M. BAUMANN, D. WEISE, F. WILBERT, W. G. JANZARIK, M. ECKENWEILER, V. MALL, B. HASLINGER, S. BERWECK, J. WINKELMANN and K. OEXLE

Edition

Movement Disorders, Hoboken, Wiley-Blackwell, 2021, 0885-3185

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30210 Clinical neurology

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Impact factor

Impact factor: 9.698

RIV identification code

RIV/00216224:14110/21:00121975

Organization unit

Faculty of Medicine

UT WoS

000647023100001

Keywords in English

exome sequencing; diagnostic yield; dystonia; prediction; scoring algorithm; rare disease

Tags

International impact, Reviewed
Změněno: 17/5/2022 10:21, Mgr. Tereza Miškechová

Abstract

V originále

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. (c) 2021 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson Movement Disorder Society

Links

825575, interní kód MU
Name: European Joint Programme on Rare Diseases (Acronym: EJP RD)
Investor: European Union, Health, demographic change and wellbeing (Societal Challenges)