Organisational unit: Research group

Research areas and keywords

UKÄ subject classification

  • Cancer and Oncology
  • Immunology in the medical area
  • Immunology
  • Bioinformatics (Computational Biology)
  • Medical Genetics
  • Hematology
  • Cell and Molecular Biology
  • Clinical Laboratory Medicine


  • Multiple myeloma, leukemia, ALL, AML, CRISPR/Cas9, shRNA, Flow cytometry, blood cell formation, population genetics, hematology, genomics, computional biology, bioinformatics



Our research group combines mathematics and genomics to address clinically important problems in hematology and immunology. Current projects focus on blood cell formation and blood disorders, e.g. multiple myeloma and childhood leukemia. The team of computer scientists, clinicians, and molecular biologists work closely together. Computational models are combined with genetic approaches to identify risk genes for blood- and immunological disorders, as well as regulators of the cell functions. Our network of international collaborations include deCODE Genetics and the Broad Institute. Our research has contributed to the understanding of inherited susceptibility to multiple myeloma, the identification of the gene behind the Vel-blood group and a diagnostic tool for the blood group used in clinical practice. Sources of funding include e.g. the Swedish foundation for Strategic Research, the Knut and Alice Wallenberg Foundation, The Swedish Childhood Cancer Foundation and Swedish Research Council.

Recent research outputs

Laura Duran-Lozano, Gudmar Thorleifsson, Aitzkoa Lopez de Lapuente Portilla, Abhishek Niroula, Molly Went, Malte Thodberg, Maroulio Pertesi, Ram Ajore, Caterina Cafaro, Pall I Olason, Lilja Stefansdottir, G Bragi Walters, Gisli H Halldorsson, Ingemar Turesson, Martin F Kaiser, Niels Weinhold, Niels Abildgaard, Niels Frost Andersen, Ulf-Henrik Mellqvist, Anders Waage & 7 others, Annette Juul-Vangsted, Unnur Thorsteinsdottir, Markus Hansson, Richard Houlston, Thorunn Rafnar, Kari Stefansson & Björn Nilsson, 2021 Apr 19, In: Blood Cancer Journal. 11, 4, 76.

Research output: Contribution to journalArticle

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