Author

Even Holth Rustad

Memorial Sloan Kettering Cancer Center

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genomics· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Research Focus:differential expression· 1 Research Focus:protein structure prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Ahmet DoǧaniD· 2 shared Benjamin T. DiamondiD· 2 shared Eileen Mary BoyleiD· 2 shared Francesco MauraiD· 2 shared Gareth John MorganiD· 2 shared Kylee H. MaclachlaniD· 2 shared Malin L. HultcrantziD· 2 shared Niccolò BolliiD· 2 shared

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2019-2021 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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2 shared papersGenomics

Ahmet DoǧanORCID

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2 papers

Recent·Most cited

Copy number signatures predict chromothripsis and associate with poor clinical outcomes in patients with newly diagnosed multiple myeloma

Kylee H. Maclachlan, Even Holth Rustad, Andriy Derkach, Binbin Zheng-Lin, Venkata D. Yellapantula, Benjamin T. Diamond, Malin L. Hultcrantz, Bachisio Ziccheddu, Eileen Mary Boyle, Patrick Blaney, Niccolò Bolli, Yanming Zhang, Ahmet Doǧan, Alexander M. Lesokhin, Gareth John Morgan, , Francesco Maura

This study shows copy number signatures predict chromothripsis in multiple myeloma and link to poor clinical outcomes using whole genome and exome sequencing data.

Nature Communications · Aug 27, 2021Peer-reviewedGenomics

Revealing the impact of recurrent and rare structural variants in multiple myeloma

Even Holth Rustad, Venkata D. Yellapantula, Dominik Głodzik, Kylee H. Maclachlan, Benjamin T. Diamond, Eileen Mary Boyle, Cody Ashby, Patrick Blaney, Gunes Gundem, Malin L. Hultcrantz, Daniel A. Leongamornlert, Nicos Angelopoulos, Daniel Auclair, Yanming Zhang, Ahmet Doǧan, , Francesco Maura

This study identifies 100 SV hotspots and 31 new candidate driver genes in multiple myeloma, revealing that 63% of SVs remain unexplained and are associated with outlier gene expression.

bioRxiv · Dec 18, 2019 · PreprintGenomics