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Barcode-free next-generation sequencing error validation for ultra-rare variant detection

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 (< 1%) because of high sequencing errors (> 0.1~1%). NGS errors cou...

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Detalles Bibliográficos
Autores principales: Yeom, Huiran, Lee, Yonghee, Ryu, Taehoon, Noh, Jinsung, Lee, Amos Chungwon, Lee, Han-Byoel, Kang, Eunji, Song, Seo Woo, Kwon, Sunghoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6395625/
https://www.ncbi.nlm.nih.gov/pubmed/30816127
http://dx.doi.org/10.1038/s41467-019-08941-4
Descripción
Sumario: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 (< 1%) because of high sequencing errors (> 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.