We study how genetic variation influences blood cell formation and blood cancer risk. We work in the interface between human genetics, bioinformatics, and hematology/immunology. Methodologically, we combine large-scale genomics and high-throughput phenotyping with advanced computational and experimental approaches.

In our genome-wide association studies (GWAS) we combine unique sample materials with sets of advanced phenotypes. We make use of high-resolution, high-throughput flow cytometry, advanced imaging techniques, gene expression data as well as crosslinking data from population based registries. Our data analysis work involves mathematical modeling, and high-performance computing and we develop computational methods for large scale genetic data. To characterize identified variants and genes functionally, we rely on a broad repertoire of functional genomics methods, including CRISPR-Cas9, synthetic oligonucleotide libraries, and massively parallel reporter assays (MPRA).