JuLI: accurate detection of DNA fusions in clinical sequencing for precision oncology

Publication date: Available online 25 December 2019Source: The Journal of Molecular DiagnosticsAuthor(s): Hyun-Tae Shin, Nayoung K.D. Kim, Jae Won Yun, Boram Lee, Sungkyu Kyung, Ki-Wook Lee, Daeun Ryu, Jinho Kim, Joon Seol Bae, Donghyun Park, Yoon-La Choi, Se-Hoon Lee, Myung-Ju Ahn, Keunchil Park, Woong-Yang ParkAbstractAccurate 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 for optimization of high-depth clinical sequencing. Novel filtering steps were implemented to minimize false positives in 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. Junction Location Identifier 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.
Source: The Journal of Molecular Diagnostics - Category: Pathology Source Type: research