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Rare Event Detection Using Error-corrected DNA and RNA Sequencing
Published on: August 3, 2018
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Single nucleotide variant sequencing errors in whole exome sequencing using the Ion Proton System.
Shiro Fujita1, Katsuhiro Masago1, Chiyuki Okuda1
1Division of Integrated Oncology, Institute of Biomedical Research and Innovation, Chuo-ku, Kobe 650-0047, Japan.
Biomedical Reports
|July 8, 2017
Summary
Sequencing errors in next-generation sequencing (NGS) are a significant challenge. This study found most single nucleotide variant (SNV) errors from Ion Proton exome sequencing were homopolymer indel errors, impacting human germline DNA analysis.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Next-generation sequencing (NGS) is crucial for genomic analysis.
- Interpreting NGS results is hindered by sequencing errors.
- Single nucleotide variants (SNVs) are key genetic variations.
Purpose of the Study:
- To investigate the types and origins of sequencing errors in human germline exome sequencing.
- To identify common sources of false positive SNVs using the Ion Proton system.
Main Methods:
- Exome sequencing of human germline DNA from two consanguineous cases using the Thermo Fisher Ion Proton System and AmpliSeq Exome capture kit.
- Analysis of single nucleotide variants (SNVs).
- Validation of NGS-detected SNVs using Sanger sequencing.
Main Results:
- A total of 98 SNVs detected by NGS were randomly selected for validation.
- Nine of the analyzed SNVs (9.2%) were identified as false positives.
- The majority of false positive SNVs were attributed to homopolymer insertion/deletion errors.
- One error was linked to primer-related issues.
Conclusions:
- Homopolymer insertion/deletion errors are the primary source of SNV sequencing errors in Ion Torrent-based exome sequencing.
- These findings are critical for accurate interpretation of human germline DNA sequencing data.
- Understanding error profiles improves the reliability of NGS applications.
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