Clinically relevant copy-number variants in exome sequencing data of patients with dystonia. (March 2021)

• Record Type: Journal Article
• Authors: Zech, Michael; Boesch, Sylvia; Škorvánek, Matej; Necpál, Ján; Švantnerová, Jana; Wagner, Matias; Dincer, Yasemin; Sadr-Nabavi, Ariane; Serranová, Tereza; Rektorová, Irena; Havránková, Petra; Ganai, Shahzaman; Mosejová, Alexandra; Příhodová, Iva; Šarláková, Jana; Kulcsarová, Kristína; Ulmanová, Olga; Bechyně, Karel; Ostrozovičová, Miriam; Haň, Vladimír; Ventosa, Joaquim Ribeiro; Shariati, Mohammad; Shoeibi, Ali; Weber, Sandrina; Mollenhauer, Brit; Trenkwalder, Claudia; Berutti, Riccardo; Strom, Tim M.; Ceballos-Baumann, Andres; Mall, Volker; Haslinger, Bernhard; Jech, Robert; Winkelmann, Juliane;
• Is Part Of: Parkinsonism & related disorders. Volume 84(2021)
• Page Start: 129
• Page End: 134
• Publication Date: 2021-03
• Subjects: Copy-number variant -- Dystonia -- Read-depth analysis -- Diagnostic yield; Parkinson's disease -- Periodicals; Movement disorders -- Periodicals; Movement Disorders -- Periodicals; Nerve Degeneration -- Periodicals; Nervous System Diseases -- Periodicals; Parkinson Disease -- Periodicals; Tremor -- Periodicals; Parkinson, Maladie de -- Périodiques; Parkinson's disease; 616.833
• DOI: 10.1016/j.parkreldis.2021.02.013
• Languages: English
• ISSNs: 1353-8020

Abstract

Abstract: Introduction: Next-generation sequencing is now used on a routine basis for molecular testing but studies on copy-number variant (CNV) detection from next-generation sequencing data are underrepresented. Utilizing an existing whole-exome sequencing (WES) dataset, we sought to investigate the contribution of rare CNVs to the genetic causality of dystonia. Methods: The CNV read-depth analysis tool ExomeDepth was applied to the exome sequences of 953 unrelated patients with dystonia (600 with isolated dystonia and 353 with combined dystonia; 33% with additional neurological involvement). We prioritized rare CNVs that affected known disease genes and/or were known to be associated with defined microdeletion/microduplication syndromes. Pathogenicity assessment of CNVs was based on recently published standards of the American College of Medical Genetics and Genomics and the Clinical Genome Resource. Results: We identified pathogenic or likely pathogenic CNVs in 14 of 953 patients (1.5%). Of the 14 different CNVs, 12 were deletions and 2 were duplications, ranging in predicted size from 124bp to 17 Mb. Within the deletion intervals, BRPF1, CHD8, DJ1, EFTUD2, FGF14, GCH1, PANK2, SGCE, UBE3A, VPS16, WARS2, and WDR45 were determined as the most clinically relevant genes. The duplications involved chromosomal regions 6q21-q22 and 15q11-q13. CNV analysis increased the diagnostic yield in the total cohort from 18.4% to 19.8%, as compared to the assessment of single-nucleotide variants and small insertions and deletions alone. Conclusions: WES-based CNV analysis in dystonia is feasible, increases the diagnostic yield, and should be combined with the assessment of single-nucleotide variants and small insertions and deletions. Highlights: Exome-based read-depth algorithms permit reliable CNV detection. CNV analysis in dystonia results in a 1.5% increase in diagnostic yield. Clinically relevant CNVs are more frequently found in complex dystonic phenotypes. CNV profiling should become routine in dystonia exome analysis.