4.4 Article

Junction Location Identifier (JuLI) Accurate Detection of DNA Fusions in Clinical Sequencing for Precision Oncology

Journal

JOURNAL OF MOLECULAR DIAGNOSTICS
Volume 22, Issue 3, Pages 304-318

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.jmoldx.2019.10.015

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Funding

  1. Korean Health Technology Research and Development Project, Ministry of Health and Welfare, Republic of Korea [HI13C2096]
  2. Korean Health Technology Research & Development Project via the Korea Health Industry Development Institute
  3. Ministry of Health and Welfare, Republic of Korea [HI15C3224]
  4. National Research Foundation of Korea
  5. Korean Government (Ministry of Science and ICT) [2018M3C9A6017315, 2019R1F1A1042379]
  6. VHS Medical Center Research grant, Republic of Korea [VHSMC 19042]
  7. National Research Foundation of Korea [2019R1F1A1042379, 2018M3C9A6017315] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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Accurate detection of genomic fusions by high-throughput sequencing in clinical samples with inadequate tumor purity and formalin-fixed, paraffin-embedded tissue is an essential task in precise oncology. We developed the fusion detection algorithm Junction Location Identifier (JuLI) for optimization of high-depth clinical sequencing. Novel filtering steps were implemented to minimize false positives in the clinical setting. The algorithm was comprehensively validated using high-depth sequencing data from cancer cell lines and clinical samples and genome sequencing data from NA12878. JuLI showed improved performance mainly in positive predictive value over state-of-the-art fusion callers in cases with high-depth clinical sequencing and rescued a driver fusion from false negative in plasma cell-free DNA using joint calling.

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