The promise of personalized medicine depends on discovering critical insights into tumor biology that can uncover new therapeutic targets and biomarker signatures that inform care. Structural variants (SVs) are a hallmark of cancer, yet current cytogenetic and molecular methods fail to detect all classes and sizes of SVs, missing a significant amount of information critical to understanding cancer biology.1-16 Studies have shown that a significant portion of SVs detected by optical genome mapping (OGM) are being missed by traditional cytogenetic and next-generation sequencing (NGS) approaches.2,16,17
Leverage OGM to maximize SV detection, so you can build comprehensive genomic profiles of hematological malignancies and solid tumors, deepening your understanding of cancer biology and unlocking new precision medicine possibilities.
Leverage OGM’s unbiased, genome-wide, and high-resolution capabilities to detect all classes of SVs, maximize pathogenic findings and increase the number of informed cases in hematological malignancies and solid tumor samples.
Unveil new meaningful events with OGM, from single SVs to complex events such as chromothripsis, or even genome-wide signatures such as homologous recombination deficiency.
Combine findings from OGM and NGS to uncover more pathogenic insights and generate comprehensive genomic profiles of tumor samples that deepen the understanding of underlying pathology.
Detect chromosomal aberrations commonly found with traditional cytogenetics while revealing incremental pathogenic findings using a single, easy-to-implement OGM workflow.
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Use OGM to uncover meaningful SVs in solid tumor genomes that can’t be seen with NGS approaches.
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Check out expert presentations on the utility of OGM for evaluating hematological malignancies.
Watch VideosExplore the growing evidence for OGM performance in heme in this downloadable publication summary.
Read MoreLearn how researchers are using OGM to better characterize and discover SVs across multiple solid tumor types.
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| title | Source | Authors |
|---|---|---|
| Optical Genome Mapping Identifies Novel Recurrent Structural Alterations in Childhood ETV6::RUNX1+ and High Hyperdiploid Acute Lymphoblastic Leukemia | September 21, 2023 | Brandes, Danielle; Yasin, Layal; Nebral, Karin; Ebler, Jana; Schinnerl, Dagmar; Picard, Daniel; Bergmann, Anke; Alam, Jubayer; Köhrer, Stefan; Haas, Oskar A.; Attarbaschi, Andishe; Marschall, Tobias; Stanulla, Martin; Borkhardt, Arndt; Brozou, Triantafyllia; Fischer, Ute; Wagener, Rabea |
| Assembly of 43 diverse human Y chromosomes reveals extensive complexity and variation | June 12, 2023 | Pille Hallast, Peter Ebert, Mark Loftus, Feyza Yilmaz, Peter A. Audano, Glennis A. Logsdon, Marc Jan Bonder, Weichen Zhou, Wolfram Hoeps, Kwondo Kim, Chong Li, Philip C Dishuck, David Porubsky, Fotios Tsetsos, Jee Young Kwon, Qihui Zhu, Katherine M. Munson, Patrick Hasenfeld, William T. Harvey, Alexandra P. Lewis, Jennifer Kordosky, Kendra Hoekzema, The Human Genome Structural Variation Consortium (HGSVC), Jan O. Korbel, Chris Tyler-Smith, Evan E. Eichler, Xinghua Shi, Christine R Beck, Tobias Marschall, Miriam K. Konkel, Charles Lee |
| Babesia duncani multi-omics identifies virulence factors and drug targets | April 13, 2023 | Pallavi Singh, Stefano Lonardi, Qihua Liang, Pratap Vydyam, Eleonora Khabirova, Tiffany Fang, Shalev Gihaz, Jose Thekkiniath, Muhammad Munshi, Steven Abel, Loic Ciampossin, Gayani Batugedara, Mohit Gupta, Xueqing Maggie Lu, Todd Lenz, Sakshar Chakravarty, Emmanuel Cornillot, Yangyang Hu, Wenxiu Ma, Luis Miguel Gonzalez, Sergio Sánchez, Karel Estrada, Alejandro Sánchez-Flores, Estrella Montero, Omar S. Harb, Karine G. Le Roch, Choukri Ben Mamoun |
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