2014
DOI: 10.1016/j.jmoldx.2014.03.006
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Detection of Gene Rearrangements in Targeted Clinical Next-Generation Sequencing

Abstract: The identification of recurrent gene rearrangements in the clinical laboratory is the cornerstone for risk stratification and treatment decisions in many malignant tumors. Studies have reported that targeted next-generation sequencing assays have the potential to identify such rearrangements; however, their utility in the clinical laboratory is unknown. We examine the sensitivity and specificity of ALK and KMT2A (MLL) rearrangement detection by next-generation sequencing in the clinical laboratory. We analyzed… Show more

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Cited by 65 publications
(50 citation statements)
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“…The test focuses on nonsynonymous somatic mutations because validated predictive and prognostic variants at present fall into this category. In the test described herein, rearrangements were not detected by NGS, although this capability has now entered the clinical space in our laboratory and others …”
Section: Discussionmentioning
confidence: 99%
“…The test focuses on nonsynonymous somatic mutations because validated predictive and prognostic variants at present fall into this category. In the test described herein, rearrangements were not detected by NGS, although this capability has now entered the clinical space in our laboratory and others …”
Section: Discussionmentioning
confidence: 99%
“…Sequence reads were mapped to the GRCh37 assembly of the reference human genome using the default parameters of the Burrows‐Wheeler Aligner (bio‐bwa.sourceforge.net). Then, structural variants (SV) were identified from discordant read pairs and/or split reads using Phrap (http://www.phrap.org/), BreakDancer (http://breakdancer.sourceforge.net/), and ClusterFAST . If the mapping read crossed the breakpoint with 20 or greater extra high‐quality unaligned bases or a contrary orientation, it was considered to be a potential output as a SV data set.…”
Section: Methodsmentioning
confidence: 99%
“…These strategies have shown to be accurate for targeted gene panel‐based next‐generation sequencing (Abel et al. ).…”
Section: Methodsmentioning
confidence: 99%