PhD students will be working on: a) Analysis of large, high-quality data sets with conventional statistics and datamining methods to generate hypotheses on risk factors of common diseases; b) Interactions between environmental and lifestyle risk factors in the development of lifestyle diseases; c) The effect of psychological and social functioning on the course and outcomes of lifestyle diseases; d) Population studies as a valid basis for political decision making in social and health policies for prevention strategies; e) Detection of large-scale and rare variants associated with common clinical conditions with the use of genomics in population studies; f) Development of personalized genome-based medicine on the basis of population study analysis; g) Small RNA sequencing use for early disease diagnosis and prediction on the basis of population based research; h) Epigenetic analysis on the genome scale in the search for potential markers and disease modifiers in the population studies; i) Untargeted metabolomic approach to characterize the metabolic phenotype in common diseases as a basis for intervention; j) Verification of potential lifestyle disease biomarkers identified during basic research in large population-based study; k) The effect of diet on microbiome in patients with civilization diseases.
MUB Expert: professor Karol Kamiński