Panel-based next-generation sequencing identifies novel mutations in Bulgarian patients with inherited retinal dystrophies.


Journal

Molecular genetics & genomic medicine
ISSN: 2324-9269
Titre abrégé: Mol Genet Genomic Med
Pays: United States
ID NLM: 101603758

Informations de publication

Date de publication:
08 2022
Historique:
revised: 07 04 2022
received: 29 11 2021
accepted: 13 05 2022
pubmed: 4 6 2022
medline: 10 8 2022
entrez: 3 6 2022
Statut: ppublish

Résumé

Next-generation sequencing (NGS)-based method is being used broadly for genetic testing especially for clinically and genetically heterogeneous disorders, such as inherited retinal degenerations (IRDs) but still not routinely used for molecular diagnostics in Bulgaria. Consequently, the purpose of this study was to evaluate the effectiveness of a molecular diagnostic approach, based on targeted NGS for the identification of the disease-causing mutations in 16 Bulgarian patients with different IRDs. We applied a customized NGS panel, including 125 genes associated with retinal and other eye diseases to the patients with hereditary retinopathies. Systematic filtering approach coupled with copy number variation analysis and segregation study lead to the identification of 16 pathogenic and likely pathogenic variants in 12/16 (75%) of IRD patients, 2 of which novel (12.5%): ABCA4-c.668delA (p.K223Rfs18) and RР1-c.2015dupA (p.K673Efs*25). Mutations in the ABCA4, PRPH2, USH2A, BEST1, RР1, CDHR1, and RHO genes were detected reaching a diagnostic yield between 42.9% for Retinitis pigmentosa cases and 100% for macular degeneration, Usher syndrome, and cone-rod dystrophy patients. Our results confirm the usefulness of targeted NGS approach based on frequently mutated genes as a comprehensive and successful genetic diagnostic tool for IRDs with significant impact on patients counseling.

Sections du résumé

BACKGROUND
Next-generation sequencing (NGS)-based method is being used broadly for genetic testing especially for clinically and genetically heterogeneous disorders, such as inherited retinal degenerations (IRDs) but still not routinely used for molecular diagnostics in Bulgaria. Consequently, the purpose of this study was to evaluate the effectiveness of a molecular diagnostic approach, based on targeted NGS for the identification of the disease-causing mutations in 16 Bulgarian patients with different IRDs.
METHODS
We applied a customized NGS panel, including 125 genes associated with retinal and other eye diseases to the patients with hereditary retinopathies.
RESULTS
Systematic filtering approach coupled with copy number variation analysis and segregation study lead to the identification of 16 pathogenic and likely pathogenic variants in 12/16 (75%) of IRD patients, 2 of which novel (12.5%): ABCA4-c.668delA (p.K223Rfs18) and RР1-c.2015dupA (p.K673Efs*25). Mutations in the ABCA4, PRPH2, USH2A, BEST1, RР1, CDHR1, and RHO genes were detected reaching a diagnostic yield between 42.9% for Retinitis pigmentosa cases and 100% for macular degeneration, Usher syndrome, and cone-rod dystrophy patients.
CONCLUSION
Our results confirm the usefulness of targeted NGS approach based on frequently mutated genes as a comprehensive and successful genetic diagnostic tool for IRDs with significant impact on patients counseling.

Identifiants

pubmed: 35656873
doi: 10.1002/mgg3.1997
pmc: PMC9356554
doi:

Substances chimiques

ABCA4 protein, human 0
ATP-Binding Cassette Transporters 0
BEST1 protein, human 0
Bestrophins 0
CDHR1 protein, human 0
Cadherin Related Proteins 0
Cadherins 0
Eye Proteins 0
Nerve Tissue Proteins 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1997

Informations de copyright

© 2022 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals LLC.

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Auteurs

Kunka Kamenarova (K)

Molecular Medicine Center, Department of Medical Chemistry and Biochemistry, Medical Faculty, Medical University of Sofia, Sofia, Bulgaria.
Laboratory of Genomic Diagnostics, Department of Medical Chemistry and Biochemistry, Medical Faculty, Medical University of Sofia, Sofia, Bulgaria.

Kalina Mihova (K)

Molecular Medicine Center, Department of Medical Chemistry and Biochemistry, Medical Faculty, Medical University of Sofia, Sofia, Bulgaria.
Laboratory of Genomic Diagnostics, Department of Medical Chemistry and Biochemistry, Medical Faculty, Medical University of Sofia, Sofia, Bulgaria.

Nevyana Veleva (N)

Department of Ophthalmology, University Hospital "Alexandrovska", Medical University of Sofia, Sofia, Bulgaria.

Elena Mermeklieva (E)

Clinic of Ophthalmology, University Hospital "Lozenetz", Medical Faculty, Sofia University "St. Kliment Ohridski", Sofia, Bulgaria.

Bilyana Mihaylova (B)

Clinic "Vision", Sofia, Bulgaria.

Galina Dimitrova (G)

Department of Ophthalmology, University Hospital "Alexandrovska", Medical University of Sofia, Sofia, Bulgaria.

Alexander Oscar (A)

Department of Ophthalmology, University Hospital "Alexandrovska", Medical University of Sofia, Sofia, Bulgaria.

Iliyan Shandurkov (I)

Clinic "Vision", Sofia, Bulgaria.

Sylvia Cherninkova (S)

Department of Neurology, University hospital "Alexandrovska", Medical University of Sofia, Sofia, Bulgaria.

Radka Kaneva (R)

Molecular Medicine Center, Department of Medical Chemistry and Biochemistry, Medical Faculty, Medical University of Sofia, Sofia, Bulgaria.
Laboratory of Genomic Diagnostics, Department of Medical Chemistry and Biochemistry, Medical Faculty, Medical University of Sofia, Sofia, Bulgaria.

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Classifications MeSH