Elizabeth Loehrer

Elizabeth Loehrer is an Assistant Professor in the Department of Clinical Genetics at Erasmus MC, where she conducts advanced research in genetic epidemiology and complex disease genetics. Her work bridges clinical medicine and population-level genetic analysis, with a strong focus on cancer predisposition syndromes and neurological disorders.

Her research interests center on genetic risk prediction, Mendelian randomization, and the application of AI in medical screening. Key areas include breast cancer in Peutz-Jeghers syndrome, migraine genetics, and intracranial aneurysms. She leverages large-scale genomic datasets to explore causal relationships between risk factors and disease outcomes.

The trends in her recent publications reveal a consistent focus on precision medicine and genetic epidemiology. Her work spans oncology, neurology, and gastroenterology, often using Mendelian randomization to infer causality. She is also pioneering the integration of AI for risk-based medical screening, particularly in breast cancer. These studies are published in high-impact journals such as Stroke, Brain, and Radiology, and have received attention in news outlets and social media, indicating broad scientific and public relevance.

• Migraine, inflammatory bowel disease and celiac disease: A Mendelian randomization study
• Genetic Risk Score for Intracranial Aneurysms: Prediction of Subarachnoid Hemorrhage and Role in Clinical Heterogeneity
• Elucidating the relationship between migraine risk and brain structure using genetic data

Elizabeth Loehrer is actively involved in international research collaborations, including with the International Headache Genetics Consortium. While no formal advising or grant information is available in the text, her high publication output and collaborative network suggest significant research leadership. She has co-authored 25 research outputs, many of which are open access and widely disseminated.

She is associated with the Clinical Genetics department at Erasmus MC, a leading center in genetic research and diagnostics. Her work contributes to both clinical understanding and public health applications of genetic data, particularly in risk stratification and early disease detection.