Calibration-free NGS quantitation of mutations below 0.01% VAF

Peng Dai; Lucia Ruojia Wu; Sherry Xi Chen; Michael Xiangjiang Wang; Lauren Yuxuan Cheng; Jinny Xuemeng Zhang; Pengying Hao; Weijie Yao; Jabra Zarka; Ghayas C. Issa; Lawrence Kwong; David Yu Zhang

doi:10.1038/s41467-021-26308-6

Nature Communications (Oct 2021)

Calibration-free NGS quantitation of mutations below 0.01% VAF

Peng Dai,
Lucia Ruojia Wu,
Sherry Xi Chen,
Michael Xiangjiang Wang,
Lauren Yuxuan Cheng,
Jinny Xuemeng Zhang,
Pengying Hao,
Weijie Yao,
Jabra Zarka,
Ghayas C. Issa,
Lawrence Kwong,
David Yu Zhang

Affiliations

Peng Dai: Department of Bioengineering, Rice University
Lucia Ruojia Wu: Department of Bioengineering, Rice University
Sherry Xi Chen: Department of Bioengineering, Rice University
Michael Xiangjiang Wang: Department of Bioengineering, Rice University
Lauren Yuxuan Cheng: Department of Bioengineering, Rice University
Jinny Xuemeng Zhang: NuProbe USA
Pengying Hao: NuProbe USA
Weijie Yao: NuProbe USA
Jabra Zarka: Department of Leukemia, The University of Texas MD Anderson Cancer Center
Ghayas C. Issa: Department of Leukemia, The University of Texas MD Anderson Cancer Center
Lawrence Kwong: Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center
David Yu Zhang: Department of Bioengineering, Rice University

DOI: https://doi.org/10.1038/s41467-021-26308-6
Journal volume & issue: Vol. 12, no. 1
pp. 1 – 9

Abstract

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Quantification of rare somatic mutations is essential for basic research and translational applications. Here the authors present Quantitative Blocker Displacement Amplification allowing for accurate detection of mutations below 0.01% VAF.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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