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

Genet Med

Centro de Diagnóstico de Enfermedades Moleculares, Centro de Biología Molecular-SO UAM-CSIC, Universidad Autónoma de Madrid, Campus de Cantoblanco, Madrid, Spain.

Published: October 2016

AI Article Synopsis

  • Glycogen storage disease (GSD) encompasses a group of 23 genetic disorders affecting glycogen metabolism, with challenging diagnosis due to overlapping symptoms and lack of specific biomarkers, leading to reliance on costly and labor-intensive Sanger sequencing.
  • This study presents the effectiveness of massive parallel sequencing (targeted exome or clinical exome) for diagnosing GSD in patients, correlating genetic variants with their biochemical and clinical features.
  • The use of next-generation sequencing identified pathogenic mutations in 23 patients, including novel mutations in GSD-related genes and additional mutations in other genes linked to similar health issues, highlighting a more efficient approach to genetic diagnosis.

Article 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.Genet Med 18 10, 1037-1043.

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Source
http://dx.doi.org/10.1038/gim.2015.217DOI Listing

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