Bengt Sennblad
Recent advances in sequencing technology provides access to large scale omics data relating to complex diseases. My main research is aimed at developing methods integrating such information in genetic analysis, thereby providing improved power to detect associations with disease, both in detection of new associations and verification and fine-mapping of known associations. Current approaches is mainly aimed at intergrating regulation and expression data in association studies of coronary artery disease and is directly applied in collaboration within CMM. I also has an affiliation with the Stockholm Bioinformatics Center, where my reseaech has been aimed at the development of novel tools for comparative genomics studies.
