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European Journal of Human Genetics
Article . 2014 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Comprehensive massive parallel DNA sequencing strategy for the genetic diagnosis of the neuro-cardio-facio-cutaneous syndromes

Authors: Ana Justino; Patrícia Dias; Maria João Pina; Sónia Sousa; Luís Cirnes; Ana Berta Sousa; José Carlos Machado; +1 Authors

Comprehensive massive parallel DNA sequencing strategy for the genetic diagnosis of the neuro-cardio-facio-cutaneous syndromes

Abstract

Variants in 11 genes of the RAS/MAPK signaling pathway have been causally linked to the neuro-cardio-facio-cutaneous syndromes group (NCFCS). Recently, A2ML1 and RIT1 were also associated with these syndromes. Because of the genetic and clinical heterogeneity of NCFCS, it is challenging to define strategies for their molecular diagnosis. The aim of this study was to develop and validate a massive parallel sequencing (MPS)-based strategy for the molecular diagnosis of NCFCS. A multiplex PCR-based strategy for the enrichment of the 13 genes and a variant prioritization pipeline was established. Two sets of genomic DNA samples were studied using the Ion PGM System: (1) training set (n =15) to optimize the strategy and (2) validation set (n = 20) to validate and evaluate the power of the new methodology. Sanger sequencing was performed to confirm all variants and low covered regions. All variants identified by Sanger sequencing were detected with our MPS approach. The methodology resulted in an experimental approach with a specificity of 99.0% and a maximum analytical sensitivity of ≥ 98.2% with a confidence of 99%. Importantly, two patients (out of 20) harbored described disease-causing variants in genes that are not routinely tested (RIT1 and SHOC2). The addition of less frequently altered genes increased in ≈ 10% the diagnostic yield of the strategy currently used. The presented workflow provides a comprehensive genetic screening strategy for patients with NCFCS in a fast and cost-efficient manner. This approach demonstrates the potential of a combined MPS-Sanger sequencing-based strategy as an effective diagnostic tool for heterogeneous diseases.

Keywords

Heart Defects, Congenital, Base Sequence, Molecular Sequence Data, Intracellular Signaling Peptides and Proteins, Facies, High-Throughput Nucleotide Sequencing, Reproducibility of Results, Failure to Thrive, Phenotype, Ectodermal Dysplasia, Humans, Abnormalities, Multiple, Exome, Genetic Testing, Sequence Alignment, Genetic Association Studies

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    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    18
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Average
Top 10%
Top 10%
bronze