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Integration of multigene panels for the diagnosis of hereditary retinal disorders using Next Generation Sequencing and bioinformatics approaches

Articolo
Data di Pubblicazione:
2018
Citazione:
Integration of multigene panels for the diagnosis of hereditary retinal disorders using Next Generation Sequencing and bioinformatics approaches / Di Resta, Chiara; Spiga, Ivana; Presi, Silvia; Merella, Stefania; Pipitone, Giovanni Battista; Manitto, Maria Pia; Querques, Giuseppe; Battaglia Parodi, Maurizio; Ferrari, Maurizio; Carrera, Paola. - In: EJIFCC. - ISSN 1650-3414. - 29:1(2018), p. 15-25.
Abstract:
In recent years, Next-Generation Sequencing (NGS) opened a new way for the study of pathogenic mechanisms and for molecular diagnosis of inherited disorders. In the present work, we focused our attention on the inherited retinal dystrophies (IRDs), a group of specific disorders of the retina, displaying a very high clinical and genetic heterogeneity, whose genetic diagnosis is not easily feasible. It represents a paradigmatic example for the integration of clinical and molecular examination toward precision medicine. In this paper, we discuss the use of targeted NGS resequencing of selected gene panels in a cohort of patients affected by IRDs. We tested the hypothesis to apply a selective approach based on a careful clinical examination. By this approach we reached a 66% overall detection rate for pathogenic variants, with a 52% diagnostic yield. Reduction of the efforts for validation and classification of variants is a clear advantage for the management of genetic testing in a clinical setting.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
NGS; diagnostic yield; inherited retinal dystrophies; multigene panels
Elenco autori:
Di Resta, Chiara; Spiga, Ivana; Presi, Silvia; Merella, Stefania; Pipitone, Giovanni Battista; Manitto, Maria Pia; Querques, Giuseppe; Battaglia Parodi, Maurizio; Ferrari, Maurizio; Carrera, Paola
Autori di Ateneo:
BATTAGLIA PARODI MAURIZIO
DI RESTA CHIARA
Link alla scheda completa:
https://iris.unisr.it/handle/20.500.11768/85230
Pubblicato in:
EJIFCC
Journal
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