Population and Statistical genetics at the Bioinformatic Center at UCPH
We are meta group of labs that work with various parts of population, medical and statistical genetics at the Biocenter at University of Copenhagen. The meta group consists of 5 labs that works with focus on different organisms and systems. We apply and develop methods for analyzing large scale next generation sequencing data.
My group uses computational tools to study molecular evolution in a variety of organisms: birds, cephalopods, mussels, crop plants and thermophilic bacteria. My recent work involves exploring large-scale genomic information on both modern and ancient DNA data sets. I am particularly interested in protein function evolution and how this impacts phenotypes.
We develop and apply statistical methods to genomic data with the purpose of gaining insights into human disease, history and evolution. For instance, by studying DNA from the Greenlandic population we recently identified a genetic variant that explains 10-15% of all cases of type 2 diabetes in Greenland. We have also looked into the migration history of the Artic and are currently investigating how the Greenlanders have genetically adapted the Arctic cold and their very fat-rich diet consisting mainly of seal and fish.