Bioinformatics and biostatistics
The bioinformatics and biostatistics group
The group focuses on the application and development of methods for handling and analyzing large amounts of register and molecular data, primarily in relation to epidemiology and personalized medicine. Our work is conducted in close collaboration with clinical and molecular biology experts.
Patient stratification
We develop methods for stratification of patients based on molecular data. We work with supervised methods to diagnose patients, or predict drug response based on e.g., gene or protein expression data, and unsupervised methods to identify new molecular subtypes of cancer.
Epidemiology and biostatistics
By using the Danish nationwide registries and/or independently collected data from clinical systems, we conduct research on e.g., patterns in medicine use, inequality in the healthcare system, or geographical differences in disease incidence.
Population genetics
A research field in the intersection between clinical and genetic data is the study of population genetics. We conduct genome-wide association studies (GWAS) within several diseases to understand biological mechanisms, estimate genetic correlations, and develop polygenic risk scores (PRS) for inclusion in prediction models for e.g., screening.