Hannah Klinkhammer

Research Interests

• Statistical genetics
• Polygenic scores
• Prediction modeling
• Statistical boosting
• Variable selection for high-dimensional data

Selected Publications

• Mak Christopher C.Y., Klinkhammer Hannah, […], Hsieh Tzung-Chien, Chung Brian H.Y. “Artificial intelligence-driven genotype–epigenotype–phenotype approaches to resolve challenges in syndrome diagnostics“. In: eBioMedicine 115 (2025), 105677. 

• Klinkhammer Hannah, Staerk Christian, Maj Carlo, Krawitz Peter M., Mayr Andreas. “Genetic Prediction Modeling in Large Cohort Studies via Boosting Targeted Loss Functions”. In: Statistics in Medicine 43 (2024), pp. 5412–5430

• Schmidt Axel, Danyel Magdalena, Grundmann Kathrin, Brunet Theresa, Klinkhammer Hannah, [...], Krawitz Peter M., Haack Tobias, Ehmke Nadja, Wagner Matias. “Next-generation phenotyping integrated in a national framework for patients with ultrarare disorders improves genetic diagnostics and yields new molecular findings”. In: Nature Genetics 56.8 (2024), pp. 1644–1653
• Staerk Christian, Klinkhammer Hannah, Wistuba Tobias, Maj Carlo, Mayr Andreas. “Generalizability of polygenic prediction models: how is the R2 defined on test data?” In: BMC Medical Genomics 17.1 (2024), p. 132.
• Dueñas Nuria, Klinkhammer Hannah, Bonifaci Nuria, Spier Isabel, Mayr Andreas, Hassanin Emadeldin, Diez-Villanueva Anna, Moreno Victor, Pineda Marta, Maj Carlo, Capellà Gabriel, Aretz Stefan, Brunet Joan. “Ability of a polygenic risk score to refine colorectal cancer risk in Lynch syndrome”. In: Journal of Medical Genetics 60.11 (2023), pp. 1044–1051.
• Klinkhammer Hannah, Staerk Christian, Maj Carlo, Krawitz Peter Michael, Mayr Andreas. “A statistical boosting framework for polygenic risk scores based on large-scale genotype data”. In: Frontiers in Genetics 13 (2023), p. 1076440.

Profiles

orcid.org/0000-0003-3752-1275

Google Scholar profile

ResearchGate profile