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Molecular diagnosis of glycogen storage disease and disorders with overlapping clinical symptoms by massive parallel sequencing

Authors :
Ana I. Vega
Lourdes R. Desviat
Isidro Vitoria
Belén Pérez
Celia Pérez-Cerdá
Begoña Merinero
Magdalena Ugarte
Rosa Navarrete
Celia Medrano
Pilar Rodríguez-Pombo
Source :
GENETICS IN MEDICINE, r-IIS La Fe. Repositorio Institucional de Producción Científica del Instituto de Investigación Sanitaria La Fe, instname
Publication Year :
2016
Publisher :
Elsevier BV, 2016.

Abstract

Purpose: Glycogen storage disease (GSD) is an umbrella term for a group of genetic disorders that involve the abnormal metabolism of glycogen; to date, 23 types of GSD have been identified. The nonspecific clinical presentation of GSD and the lack of specific biomarkers mean that Sanger sequencing is now widely relied on for making a diagnosis. However, this gene-by-gene sequencing technique is both laborious and costly, which is a consequence of the number of genes to be sequenced and the large size of some genes. Methods: This work reports the use of massive parallel sequencing to diagnose patients at our laboratory in Spain using either a customized gene panel (targeted exome sequencing) or the Illumina Clinical-Exome TruSight One Gene Panel (clinical exome sequencing (CES)). Sequence variants were matched against biochemical and clinical hallmarks. Results: Pathogenic mutations were detected in 23 patients. -Twenty-two mutations were recognized (mostly loss-of-function mutations), including 11 that were novel in GSD-associated genes. In addition, CES detected five patients with mutations in ALDOB, LIPA, NKX2-5, CPT2, or ANO5. Although these genes are not involved in GSD, they are associated with overlapping phenotypic characteristics such as hepatic, muscular, and cardiac dysfunction. Conclusions: These results show that next-generation sequencing, in combination with the detection of biochemical and clinical hallmarks, provides an accurate, high-throughput means of making genetic diagnoses of GSD and related diseases.

Details

ISSN :
10983600
Volume :
18
Database :
OpenAIRE
Journal :
Genetics in Medicine
Accession number :
edsair.doi.dedup.....898704c8ac3b42893896f6605814d520
Full Text :
https://doi.org/10.1038/gim.2015.217