Schormair, B. ; Kemlink, D.* ; Mollenhauer, B.* ; Fiala, O.* ; Machetanz, G.* ; Roth, J.* ; Berutti, R. ; Strom, T.M. ; Haslinger, B.* ; Trenkwalder, C.* ; Zahorakova, D.* ; Martasek, P.* ; Ruzicka, E.* ; Winkelmann, J.
Diagnostic exome sequencing in early-onset Parkinson's disease confirms VPS13C as a rare cause of autosomal-recessive Parkinson's disease.
Clin. Genet. 93, 603-612 (2017)
Parkinson's disease (PD) is a genetically heterogeneous disorder and new putative disease genes are discovered constantly. Therefore, whole-exome sequencing could be an efficient approach to genetic testing in PD. To evaluate its performance in early-onset sporadic PD, we performed diagnostic exome sequencing in 80 individuals with manifestation of PD symptoms at age 40 or earlier and a negative family history of PD. Variants in validated and candidate disease genes and risk factors for PD and atypical Parkinson syndromes were annotated, followed by further analysis for selected variants. We detected pathogenic variants in Mendelian genes in 6.25% of cases and high-impact risk factor variants in GBA in 5% of cases, resulting in overall maximum diagnostic yield of 11.25%. One individual was compound heterozygous for variants affecting canonical splice sites in VPS13C, confirming the causal role of protein-truncating variants in this gene linked to autosomal-recessive early-onset PD. Despite the low diagnostic yield of exome sequencing in sporadic early-onset PD, the confirmation of the recently discovered VPS13C gene highlights its advantage over using predefined gene panels.
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Publication type
Article: Journal article
Document type
Scientific Article
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Keywords
Exome ; Genetic Testing ; Parkinson Disease ; Vps13c; Glucocerebrosidase Gene; Gaucher-disease; Gba Mutations; Jewish Patients; Metaanalysis; Identification; Association; Translation; Dysfunction; Discovery
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Publication Year
2017
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2017
ISSN (print) / ISBN
0009-9163
e-ISSN
1399-0004
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Volume: 93,
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Pages: 603-612
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Wiley
Publishing Place
Hoboken
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Peer reviewed
POF-Topic(s)
30205 - Bioengineering and Digital Health
30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
Research field(s)
Genetics and Epidemiology
PSP Element(s)
G-503200-001
G-500700-001
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Erfassungsdatum
2018-02-12