bioRxivGenomicsPreprint
Revealing the impact of recurrent and rare structural variants in multiple myeloma
Even Holth Rustad, Venkata D. YellapantulaiD, Dominik GłodzikiD, Kylee H. MaclachlaniD, Benjamin T. DiamondiD, Eileen Mary BoyleiD, Cody AshbyiD, Patrick BlaneyiD, Gunes GundemiD, Malin L. HultcrantziD, Daniel A. LeongamornlertiD, Nicos AngelopoulosiD, Daniel AuclairiD, Yanming ZhangiD, Ahmet DoǧaniD, Niccolò BolliiD, Elli PapaemmanuiliD, Kenneth Carl AndersoniD, Philippe MoreauiD, Hervé Avet‐LoiseauiD, Nikhil C. MunshiiD, Jonathan J. KeatsiD, Peter J. CampbelliD, Gareth John MorganiD, Ola LandgreniD, Francesco MauraiD
Abstract
The landscape of structural variants (SVs) in multiple myeloma remains poorly understood. Here, we performed comprehensive classification and analysis of SVs in multiple myeloma, interrogating a large cohort of 762 patients with whole genome and RNA sequencing. We identified 100 SV hotspots involving 31 new candidate driver genes, including drug targets BCMA (TNFRSF17) and SLAMF7. Complex SVs, including chromothripsis and templated insertions, were present in 61 % of patients and frequently resulted in the simultaneous acquisition of multiple drivers. After accounting for all recurrent events, 63 % of SVs remained unexplained. Intriguingly, these rare SVs were associated with up to 7-fold enrichment for outlier gene expression, indicating that many rare driver SVs remain unrecognized and are likely important in the biology of individual tumors.
- organism: human
- assay: whole-genome sequencing
- research focus: variant calling
- approach: statistical model
- Citations
- 5
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