Tim Hasenbein

This project collects summary information and (visual) characterizations of lung health related polygenic scores and underlying GWAS, based on publicly available data.

Mission: We perform cutting-edge research on data generated by novel biomolecular technologies to address questions in pneumology. Towards this, we use biological high-throughput data, i.e., OMICs data, to gain insights into molecular and phenotypic traits and diseases using computational methods. We combine data, methodology and their applications in pneumology through interdisciplinary collaboration with mathematicians, computer scientists, biologists and physicians.