Related Experiment Video
Updated: Mar 9, 2026
11:02
Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing
Published on: October 18, 2013
20.0K
Hybridization Capture-Based Next-Generation Sequencing to Evaluate Coding Sequence and Deep Intronic Mutations in the
Karin Soares Cunha1,2,3, Nathalia Silva Oliveira4, Anna Karoline Fausto5
1Graduate Program in Pathology, School of Medicine, Universidade Federal Fluminense, Niterói 24033-900, Brazil. karingcunha@gmail.com.
Genes
|December 22, 2016
Summary
Next-generation sequencing effectively detects mutations in the large NF1 gene, including challenging deep intronic splicing variants. This approach achieves a high mutation detection rate for Neurofibromatosis 1 (NF1).
Area of Science:
- Genetics
- Molecular Biology
- Medical Diagnostics
Background:
- Neurofibromatosis 1 (NF1) is a common genetic disorder caused by NF1 gene mutations.
- NF1 gene analysis is complex due to its size, pseudogenes, and diverse mutation types, including deep intronic splicing mutations.
Purpose of the Study:
- To evaluate hybridization capture-based next-generation sequencing (NGS) for screening coding and noncoding NF1 regions.
- To assess the efficacy of NGS in detecting various pathogenic variations within the entire NF1 gene.
Main Methods:
- Whole NF1 gene sequencing (exons and introns) using hybridization capture-based NGS on genomic DNA from 12 individuals with NF1.
- Confirmation of identified mutations using Sanger sequencing.
- Analysis of mutation types, including splicing alterations, frameshift, and missense mutations.
Main Results:
- A high mutation detection rate of 91% (10 out of 11 individuals) was achieved.
- Eight recurrent and two novel mutations were identified and confirmed.
- Splicing alterations constituted 50% of the detected mutations, including a deep intronic variant (c.1260 + 1604A > G).
Conclusions:
- Hybridization capture-based NGS provides a simple, fast, and effective method for comprehensive NF1 gene screening.
- This approach successfully identifies diverse pathogenic variations, including challenging deep intronic splicing mutations, aiding in NF1 diagnosis.
