Recessive multiple epiphyseal dysplasia and Stargardt disease in two sisters

ABSTRACT Background The rapid spread of genome‐wide next‐generation sequencing in the molecular diagnosis of rare genetic disorders has produced increasing evidence of multilocus genomic variations in cases with a previously well‐characterized molecular diagnosis. Here, we describe two patients with...

Full description

Bibliographic Details
Main Authors: Leonardo Gatticchi, Dominika Vešelényiová, Jan Miertus, Paolo Enrico Maltese, Elena Manara, Alisia Costantini, Sabrina Benedetti, Darina Ďurovčíková, Juraj Krajcovic, Matteo Bertelli
Format: Article
Language:English
Published: Wiley 2021-04-01
Series:Molecular Genetics & Genomic Medicine
Subjects:
Online Access:https://doi.org/10.1002/mgg3.1630
Description
Summary:ABSTRACT Background The rapid spread of genome‐wide next‐generation sequencing in the molecular diagnosis of rare genetic disorders has produced increasing evidence of multilocus genomic variations in cases with a previously well‐characterized molecular diagnosis. Here, we describe two patients with a rare combination of skeletal abnormalities and retinal dystrophy caused by variants in the SLC26A2 and ABCA4 genes, respectively, in a family with parental consanguinity. Methods Next‐generation sequencing and Sanger sequencing were performed to obtain a molecular diagnosis for the retinal and skeletal phenotypes, respectively. Results Genetic testing revealed that the sisters were homozygous for the p.(Cys653Ser) variant in SLC26A2 and heterozygous for the missense p.(Pro68Leu) and splice donor c.6386+2C>G variants in ABCA4. Segregation analysis confirmed the carrier status of the parents. Conclusion Despite low frequency of occurrence, the detection of multilocus genomic variations in a single disease gene‐oriented approach can provide accurate diagnosis even in cases with high phenotypic complexity. A targeted sequencing approach can detect relationships between observed phenotypes and underlying genotypes, useful for clinical management.
ISSN:2324-9269