Dorthe Almind Pedersen

Dorthe Almind Pedersen is a Data Analyst and Data Manager at the Danish Twin Research Center, Department of Public Health, University of Southern Denmark. She holds a PhD in Health Sciences (2017) and an M.Sc. in Applied Mathematics and Mathematics (2004), both from the University of Southern Denmark.

Education:

• PhD in Health Sciences, Epidemiology, Biostatistics and Biodemography, University of Southern Denmark, 2017
• M.Sc. in Applied Mathematics and Mathematics, University of Southern Denmark, Odense, 2004

Her research focuses on epidemiological and biostatistical analysis of twin and population-based cohorts. Key areas include genetic contributions to congenital anomalies (oral clefts, congenital heart defects), musculoskeletal disorders (Achilles tendon rupture), endocrine conditions (hyperthyroidism), and aging-related phenomena such as clonal hematopoiesis and immune-mediated diseases. She employs advanced statistical methods to analyze large-scale Danish health registries and twin datasets.

The recent articles highlight a strong trend in genetic epidemiology and cohort analysis, particularly using twin registries to assess heritability, disease risk, and long-term health outcomes. Topics span trauma effects, endocrine biomarkers, metabolic diseases, and cancer-related clonal expansion, reflecting a multidisciplinary approach grounded in biostatistics and public health.

Scientific Contributions:

• Active contributor to high-impact journals including JAMA Surgery, Blood, and Frontiers in Endocrinology.
• Presented research at international conferences such as the International Congress on Twin Studies and the European Craniofacial Congress.
• Engaged in collaborative research with leading experts in aging and epidemiology, including Kaare Christensen.

She advises on data analysis and contributes to methodological rigor in oral health and twin research. Her work is supported by access to national registries and long-term cohort data. She is involved in the Danish Twin Research Center, a key hub for biodemographic and genetic epidemiological research, where she manages and analyzes complex datasets to uncover genetic and environmental influences on health and disease.