DNA methylation profiling
At the Department of Clinical Genetics, we have extensive experience in genome-wide DNA methylation (DNAm) profiling and DNAm signature analysis. We apply state-of-the-art long-read sequencing technologies, including Nanopore- and PacBio-based methylation profiling, to detect and characterize disease-associated DNAm signatures. By integrating methylation data with clinical and genomic findings, we are able to support the interpretation of genetic variants and improve the diagnosis of rare genetic disorders. This approach enables the identification of distinct epigenetic patterns associated with specific molecular mechanisms and clinical phenotypes.
Researchers
Mathis Hildonen
Zeynep Tümer MD, PhD, DMSc, Professor
Our key publications
Hildonen, M., Ciolfi, A., Ferilli, M., Cappelletti, C., Al Alam, C., Amor. David, Barakat, T. S., Benoit, V., Birk, O., Callewaert, B., Cazurro-Gutierrez, A., De Wachter, M., Doco-Fenzy, M., Gómez-Puertas, P., Hammer, T., Jamra, R. A., Kaiyrzhanov, R., Kamemaya, S., Keren, B., … Tümer, Z., Tartaglia, M. (2025). Biallelic loss-of-function variants in ZNF142 are associated with a robust DNA methylation signature affecting a limited number of genomic loci. European Journal of Human Genetics.
Hildonen, M., Ferilli, M., Hjortshøj, T. D., Dunø, M., Risom, L., Bak, M., Ek, J., Møller, R. S., Ciolfi, A., Tartaglia, M., & Tümer, Z. (2023). DNA methylation signature classification of rare disorders us-ing publicly available methylation data. Clinical Genetics, 103(6), 688–692. https://doi.org/10.1111/cge.14304
Hildonen, M., Ferilli, M., Krey, I., Kohnen, O., Cappelletti, C., Platzer, K., Ciolfi, A., Jamra, R. A., Tartaglia, M., & Tümer, Z. (2025). Diagnosis of Angelman Syndrome, With 66 Years of Delay, Using Hypothesis-Free DNA Methylation Profiling. Clinical Genetics, 108(3), 369–370. https://doi.org/10.1111/cge.70000
Hildonen, M., Mariani, L., Dalsberg, J., Bak, M., Weksberg, R., Choufani, S., & Tümer, Z. (2026). Clinical Feasibility of Long-Read WGS for DNA Methylation Signature Analysis. Clinical Genetics, 109(4), 725–729. https://doi.org/10.1111/cge.70108