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Regulatory Genomics

Our research focuses on the functional characterization of gene regulatory variants. Utilizing context-specific Quantitative Trait Locus (QTL) analyses, we dissect the impact of genomic variants on molecular phenotypes, including gene expression and RNA processing. By integrating QTL data with Genome-Wide Association Studies (GWAS), we aim to establish mechanistic links between regulatory variation and complex disease etiology.

Our lab applies a comprehensive set of experimental and computational approaches. Wet-lab techniques include cell culture systems, microarray profiling, and diverse Next Generation Sequencing (NGS) strategies. In parallel, our computational analyses leverage statistical genetics, network inference, and integrative multi-omics frameworks to model regulatory interactions.

At the Center for Human Genetics in Marburg, our interdisciplinary team unites expertise in molecular biology, bioinformatics and clinical genetics to provide a systems-level perspective on the genetic architecture of complex diseases.