A Multi-Strategy Sequencing Workflow in Inherited Retinal Dystrophies: Routine Diagnosis, Addressing Unsolved Cases and Candidate Genes Identification

The management of unsolved inherited retinal dystrophies (IRD) cases is challenging since no standard pipelines have been established. This study aimed to define a diagnostic algorithm useful for the diagnostic routine and to address unsolved cases. Here, we applied a Next-Generation Sequencing-base...

Full description

Saved in:
Bibliographic Details
Published inInternational journal of molecular sciences Vol. 21; no. 24; p. 9355
Main Authors Martín-Sánchez, Marta, Bravo-Gil, Nereida, González-Del Pozo, María, Méndez-Vidal, Cristina, Fernández-Suárez, Elena, Rodríguez-de la Rúa, Enrique, Borrego, Salud, Antiñolo, Guillermo
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 08.12.2020
MDPI
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:The management of unsolved inherited retinal dystrophies (IRD) cases is challenging since no standard pipelines have been established. This study aimed to define a diagnostic algorithm useful for the diagnostic routine and to address unsolved cases. Here, we applied a Next-Generation Sequencing-based workflow, including a first step of panel sequencing (PS) followed by clinical-exome sequencing (CES) and whole-exome sequencing (WES), in 46 IRD patients belonging to 42 families. Twenty-six likely causal variants in retinal genes were found by PS and CES. CES and WES allowed proposing two novel candidate ( and a X-linked region including ), both abundantly expressed in human retina according to RT-PCR and immunohistochemistry. After comparison studies, PS showed the best quality and cost values, CES and WES involved similar analytical efforts and WES presented the highest diagnostic yield. These results reinforce the relevance of panels as a first step in the diagnostic routine and suggest WES as the next strategy for unsolved cases, reserving CES for the simultaneous study of multiple conditions. Standardizing this algorithm would enhance the efficiency and equity of clinical genetics practice. Furthermore, the identified candidate genes could contribute to increase the diagnostic yield and expand the mutational spectrum in these disorders.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
These authors contributed equally to this study.
ISSN:1422-0067
1661-6596
1422-0067
DOI:10.3390/ijms21249355