Author
Listed:
- Huiran Yeom
(Seoul National University)
- Yonghee Lee
(Seoul National University)
- Taehoon Ryu
(Celemics Inc.)
- Jinsung Noh
(Seoul National University)
- Amos Chungwon Lee
(Seoul National University)
- Han-Byoel Lee
(Seoul National University Hospital Biomedical Research Institute)
- Eunji Kang
(Seoul National University)
- Seo Woo Song
(Seoul National University)
- Sunghoon Kwon
(Seoul National University
Celemics Inc.
Seoul National University
Seoul National University)
Abstract
The advent of next-generation sequencing (NGS) has accelerated biomedical research by enabling the high-throughput analysis of DNA sequences at a very low cost. However, NGS has limitations in detecting rare-frequency variants ( 0.1~1%). NGS errors could be filtered out using molecular barcodes, by comparing read replicates among those with the same barcodes. Accordingly, these barcoding methods require redundant reads of non-target sequences, resulting in high sequencing cost. Here, we present a cost-effective NGS error validation method in a barcode-free manner. By physically extracting and individually amplifying the DNA clones of erroneous reads, we distinguish true variants of frequency > 0.003% from the systematic NGS error and selectively validate NGS error after NGS. We achieve a PCR-induced error rate of 2.5×10−6 per base per doubling event, using 10 times less sequencing reads compared to those from previous studies.
Suggested Citation
Huiran Yeom & Yonghee Lee & Taehoon Ryu & Jinsung Noh & Amos Chungwon Lee & Han-Byoel Lee & Eunji Kang & Seo Woo Song & Sunghoon Kwon, 2019.
"Barcode-free next-generation sequencing error validation for ultra-rare variant detection,"
Nature Communications, Nature, vol. 10(1), pages 1-8, December.
Handle:
RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-08941-4
DOI: 10.1038/s41467-019-08941-4
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