TY - JOUR
T1 - Evaluation of Long-Read Genome Sequencing for Genomic Profiling of Myeloid Cancers
AU - Abel, Haley J.
AU - Mahgoub, Mohamed
AU - Davarapalli, Nidhi
AU - Kodgule, Rohan
AU - Miller, Christopher A.
AU - Fulton, Robert S.
AU - Fronick, Catrina
AU - Markovic, Christopher
AU - Heath, Sharon
AU - Payton, Jacqueline E.
AU - Jacoby, Meagan A.
AU - Link, Daniel C.
AU - Walter, Matthew J.
AU - Duncavage, Eric J.
AU - Ley, Timothy J.
AU - Spencer, David H.
N1 - Publisher Copyright:
© 2025 Association for Molecular Pathology and American Society for Investigative Pathology.
PY - 2025/12
Y1 - 2025/12
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/105021573934
U2 - 10.1016/j.jmoldx.2025.09.001
DO - 10.1016/j.jmoldx.2025.09.001
M3 - Article
C2 - 41016628
AN - SCOPUS:105021573934
SN - 1525-1578
VL - 27
SP - 1242
EP - 1254
JO - Journal of Molecular Diagnostics
JF - Journal of Molecular Diagnostics
IS - 12
ER -