Whole genome sequencing for the genetic diagnosis of heterogenous dystonia phenotypes.
Dystonia
GNAL
Genetic diagnosis
KMT2B
Whole genome sequencing
Journal
Parkinsonism & related disorders
ISSN: 1873-5126
Titre abrégé: Parkinsonism Relat Disord
Pays: England
ID NLM: 9513583
Informations de publication
Date de publication:
12 2019
12 2019
Historique:
received:
07
07
2019
revised:
21
10
2019
accepted:
02
11
2019
pubmed:
16
11
2019
medline:
2
9
2020
entrez:
16
11
2019
Statut:
ppublish
Résumé
Dystonia is a clinically and genetically heterogeneous disorder and a genetic cause is often difficult to elucidate. This is the first study to use whole genome sequencing (WGS) to investigate dystonia in a large sample of affected individuals. WGS was performed on 111 probands with heterogenous dystonia phenotypes. We performed analysis for coding and non-coding variants, copy number variants (CNVs), and structural variants (SVs). We assessed for an association between dystonia and 10 known dystonia risk variants. A genetic diagnosis was obtained for 11.7% (13/111) of individuals. We found that a genetic diagnosis was more likely in those with an earlier age at onset, younger age at testing, and a combined dystonia phenotype. We identified pathogenic/likely-pathogenic variants in ADCY5 (n = 1), ATM (n = 1), GNAL (n = 2), GLB1 (n = 1), KMT2B (n = 2), PRKN (n = 2), PRRT2 (n = 1), SGCE (n = 2), and THAP1 (n = 1). CNVs were detected in 3 individuals. We found an association between the known risk variant ARSG rs11655081 and dystonia (p = 0.003). A genetic diagnosis was found in 11.7% of individuals with dystonia. The diagnostic yield was higher in those with an earlier age of onset, younger age at testing, and a combined dystonia phenotype. WGS may be particularly relevant for dystonia given that it allows for the detection of CNVs, which accounted for 23% of the genetically diagnosed cases.
Identifiants
pubmed: 31731261
pii: S1353-8020(19)30473-0
doi: 10.1016/j.parkreldis.2019.11.004
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
111-118Informations de copyright
Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.