Author

Steffan D. Bos

Oslo University HospitalORCID 0000-0002-2975-7520Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Assay:imaging· 1 Assay:multiome· 1

Frequent Co-Authors

Friedemann PauliD· 2 shared Adam SantanielloiD· 1 shared Albert SaiziD· 1 shared Alexander Ulrich BrandtiD· 1 shared An GorisiD· 1 shared Anne Haney CrossiD· 1 shared Anne SpurklandiD· 1 shared Antonio UccelliiD· 1 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersSystems Biology

Friedemann PaulORCID

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2 papers

Recent·Most cited

Multiscale networks in multiple sclerosis

Keith Kennedy, Nicole Kerlero de Rosbo, Antonio Uccelli, Maria Cellerino, Federico Ivaldi, Paola Contini, Raffaele De Palma, Hanne Flinstad Harbo, Tone Berge, Steffan D. Bos, Einar August Høgestøl, Synne Brune, Sigrid A. de Rodez Benavent, Friedemann Paul, Alexander Ulrich Brandt, , Pablo Villoslada

The paper uses multilayer network analysis and multi-omics data to identify biological pathways in MS that explain disease severity and central nervous system damage.

PLoS Computational Biology · Feb 8, 2024Peer-reviewedSystems Biology

Low frequency and rare coding variation contributes to multiple sclerosis risk

Mitja Mitrovič, Nikolaos A. Patsopoulos, Ashley Harris Beecham, Theresa Dankowski, An Goris, Bénédicte Dubois, Marie Beatrice D'hooghe, Robin Lemmens, Philip Van Damme, Helle Bach Søndergaard, Finn Thorup Sellebjerg, Per Soelberg Sørensen, Henrik Ullum, Lise Wegner Thørner, Thomas Mears Werge, , Hakon H. Hakonarson

The paper identifies low-frequency coding variants contributing to multiple sclerosis risk using a large case-control study.

Cell · Oct 18, 2018Peer-reviewedGenetics