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Bionano Announces Publication Showing That OGM Detects Over 1250 Structural Variants, Including 56 Gene Fusions, In Pediatric Leukemia That Were Missed By Whole Genome Sequencing

Author: Benzinga Newsdesk | April 11, 2024 08:16am

Bionano Genomics, Inc. (NASDAQ:BNGO) today announced the publication of a study from Penn State College of Medicine that used optical genome mapping (OGM) to search for clinically and biologically relevant genomic variations in pediatric B-cell acute lymphoblastic leukemia (B-ALL). The study also used whole genome sequencing (WGS) for variant detection and evaluated the two approaches side-by-side and the potential benefit of integrating WGS and OGM to obtain a comprehensive analysis of genetic variation. The study concluded that OGM together with WGS can potentially identify new therapeutic targets and improve personalized medicine in pediatric leukemia and other cancers by providing a more complete view of genome variation, including structural variation.

 

The study findings showed that, of the 3,075 total SVs detected in the B-ALL samples, 1,255 were uniquely detected by OGM. The study also found that WGS detected 66 gene fusions, and that OGM was able to detect an additional 56 fusions that were missed by WGS. Several of the gene fusions detected by OGM were also not previously found by other methods of analysis, and their expression was confirmed by RNA sequencing, indicating their potential to be used as prognostic biomarkers or possible therapeutic targets. These study findings highlight the potential benefit of using OGM for SV detection in B-ALL, as many SVs went undetected with WGS alone.

Erik Holmlin, PhD, president and chief executive officer of Bionano, commented, "We believe OGM's ability to interrogate genome-wide SVs in an important size range makes OGM a viable alternative to traditional cytogenetic methods, and potentially a strong complement to sequencing. These study results highlight the potential benefit of adding OGM to a WGS workflow for a more comprehensive analysis of genetic variation in blood cancers, which may improve clinical diagnostics in future research, as better resolution of SVs can help illuminate the genetic drivers in cancer."

Posted In: BNGO

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