ArticleThe Journal of molecular diagnostics : JMD2025
Evaluation of Long-Read Genome Sequencing for Genomic Profiling of Myeloid Cancers.
Article in The Journal of molecular diagnostics : JMD, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
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Authors and funding
16 authors.
Funding
Abstract
Whole-genome sequencing (WGS) is a comprehensive approach for the genomic evaluation of acute myeloid leukemia (AML) and myelodysplastic syndromes (MDS). We recently described a streamlined tumor-only WGS assay (ChromoSeq) that uses Illumina short-read sequencing with targeted analysis to detect the full range of clinically relevant somatic mutations. Here we sought to determine the performance of this targeted analysis approach using long-read sequencing data from Oxford Nanopore Technologies and Pacific Biosciences. Samples from 26 patients with AML and MDS were sequenced to a mean of 52× coverage. Head-to-head comparison of reportable somatic variants to standard WGS revealed more than 96% recall and 91% precision for single nucleotide variants for both long-read platforms. Performance was lower for insertion/deletions (66% recall and 42% precision), especially in regions with few phased reads that facilitate accurate variant detection. The long-read platforms were 95% accurate for copy number calls, and they detected all recurrent structural variants with no false-positive findings. In addition, long reads properly identified intronic insertions near repetitive elements that were incorrectly identified as interchromosomal structural rearrangements by standard WGS. These results indicate that targeted, tumor-only analysis of long-read sequence data is a feasible approach for the genomic evaluation of myeloid cancers, and they show the utility of incorporating variants discovered via long-read sequencing to improve variant interpretation in short-read WGS.
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