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Calibration-free NGS quantitation of mutations below 0.01% VAF

Author

Listed:
  • Peng Dai

    (Rice University
    NuProbe USA)

  • Lucia Ruojia Wu

    (Rice University)

  • Sherry Xi Chen

    (Rice University
    NuProbe USA)

  • Michael Xiangjiang Wang

    (Rice University)

  • Lauren Yuxuan Cheng

    (Rice University)

  • Jinny Xuemeng Zhang

    (NuProbe USA)

  • Pengying Hao

    (NuProbe USA)

  • Weijie Yao

    (NuProbe USA)

  • Jabra Zarka

    (The University of Texas MD Anderson Cancer Center)

  • Ghayas C. Issa

    (The University of Texas MD Anderson Cancer Center)

  • Lawrence Kwong

    (The University of Texas MD Anderson Cancer Center)

  • David Yu Zhang

    (Rice University
    NuProbe USA)

Abstract

Quantitation of rare somatic mutations is essential for basic research and translational clinical applications including minimal residual disease (MRD) detection. Though unique molecular identifier (UMI) has suppressed errors for rare mutation detection, the sequencing depth requirement is high. Here, we present Quantitative Blocker Displacement Amplification (QBDA) which integrates sequence-selective variant enrichment into UMI quantitation for accurate quantitation of mutations below 0.01% VAF at only 23,000X depth. Using a panel of 20 genes recurrently altered in acute myeloid leukemia, we demonstrate quantitation of various mutations including single base substitutions and indels down to 0.001% VAF at a single locus with less than 4 million sequencing reads, allowing sensitive MRD detection in patients during complete remission. In a pan-cancer panel and a melanoma hotspot panel, we detect mutations down to 0.1% VAF using only 1 million reads. QBDA provides a convenient and versatile method for sensitive mutation quantitation using low-depth sequencing.

Suggested Citation

  • 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, 2021. "Calibration-free NGS quantitation of mutations below 0.01% VAF," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-26308-6
    DOI: 10.1038/s41467-021-26308-6
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    1. Kiyomi Morita & Feng Wang & Katharina Jahn & Tianyuan Hu & Tomoyuki Tanaka & Yuya Sasaki & Jack Kuipers & Sanam Loghavi & Sa A. Wang & Yuanqing Yan & Ken Furudate & Jairo Matthews & Latasha Little & C, 2020. "Clonal evolution of acute myeloid leukemia revealed by high-throughput single-cell genomics," Nature Communications, Nature, vol. 11(1), pages 1-17, December.
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    1. Lucia Ruojia Wu & Peng Dai & Michael Xiangjiang Wang & Sherry Xi Chen & Evan N. Cohen & Gitanjali Jayachandran & Jinny Xuemeng Zhang & Angela V. Serrano & Nina Guanyi Xie & Naoto T. Ueno & James M. Re, 2022. "Ensemble of nucleic acid absolute quantitation modules for copy number variation detection and RNA profiling," Nature Communications, Nature, vol. 13(1), pages 1-9, December.

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