Research Group Medical Genomics
Our ultimate goal is to unravel the pathomechanisms of psychiatric disorders and transform large-scale data into applicable biomedical knowledge that can inform diagnostic tools. Thereby, we can contribute towards closing the gap between clinical data and computational applications by applying medical genomics.
- Method development to address challenges in biomedical research by:
- Integrating multi-level omics data from multiple tissues and cell types
- Functional enrichment in a data-driven manner, enabling detection of transcriptional effects or pinpoint putative drivers
- Identify functional multi-level transdiagnostic risk signatures to delineate vulnerability to stress exposure to assist diagnosis using multi-omics data
- Develop sub-diagnosis scores for stress-related psychiatric syndromes, which will be used in the clinic to compliment current questionnaire-based psychiatric diagnosing
- Analyze differential transcript usage, which may allow the development of new treatments or better patient stratification
We are also integrated at the Computational Health Center of Helmholtz Zentrum Munich, which puts us at the unique interface between psychiatric research and computational biology.
We not only have access to laboratories, physicians and a large number of study cohorts that enable us to test our hypotheses and predictions, but also to state-of-the-art analytic tools and methods.
Our multidisciplinary group with knowledge in bioinformatics, biostatistics and computer science stimulates ideas and new design for effective data transformations.