Detailed Information on Publication Record
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 |
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