Translational Genomics

At the Institute for Biomedicine we focus on translational genomics, an area of study that combines basic genomic research with clinical application. It focuses on the systematic analysis of genetic and genomic data to decode the complex molecular networks that govern human health and disease.

Using advanced technologies such as genome-wide association studies (GWAS), next-generation sequencing (NGS), and integrative multi-omics, translational genomics enables us to precisely map the genetic architecture of complex traits. We can thus identify variants, genes, regulatory elements and pathways with causal links to disease phenotypes.

Through the analysis of large-scale genomic datasets, supported by robust computational pipelines and rigorous statistical methodologies, we identify susceptibility loci, biomarkers, and molecular targets. Integrating genomic data with other biological layers, such as transcriptomics, epigenomics, proteomics, and metabolomics, we refine our understanding of the mechanisms of health and disease, and we can open new therapeutic avenues.

Our work in translational genomics plays a central role in advancing Precision Health. Its capacity to identify and validate actionable targets accelerates the translation of genomic insights into meaningful advances in targeted treatments, ultimately fostering improved outcomes for patients and populations alike.