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ZECH, M., R. JECH, S. BOESCH, M. SKORVANEK, J. NECPAL, J. SVANTNEROVA, M. WAGNER, A. SADR-NABAVI, F. DISTELMAIER, M. KRENN, T. SERRANOVA, Irena REKTOROVÁ, 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. Scoring Algorithm-Based Genomic Testing in Dystonia: A Prospective Validation Study. Movement Disorders. Hoboken: Wiley-Blackwell, 2021, vol. 36, No 8, p. 1959-1964. ISSN 0885-3185. Available from: https://dx.doi.org/10.1002/mds.28614.
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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
Original language English
Type of outcome Article in a journal
Field of Study 30210 Clinical neurology
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 9.698
RIV identification code RIV/00216224:14110/21:00121975
Organization unit Faculty of Medicine
Doi http://dx.doi.org/10.1002/mds.28614
UT WoS 000647023100001
Keywords in English exome sequencing; diagnostic yield; dystonia; prediction; scoring algorithm; rare disease
Tags 14110127, podil, rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Tereza Miškechová, učo 341652. Changed: 17/5/2022 10:21.
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. (c) 2021 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson Movement Disorder Society
Links
825575, interní kód MUName: European Joint Programme on Rare Diseases (Acronym: EJP RD)
Investor: European Union, Health, demographic change and wellbeing (Societal Challenges)
Displayed: 21/7/2024 10:25