Population Genetic Analysis examines genetic variation within and between populations to understand evolutionary processes, disease susceptibility, and population structure. In public health, it helps identify genetic factors influencing disease risk, response to treatment, and health disparities among populations. This analysis uses genetic markers to study inheritance patterns, migration, selection, and gene–environment interactions. Population genetic data support research in infectious disease susceptibility, inherited disorders, and adaptation to environmental exposures. Public health applications include risk prediction, screening strategies, and precision prevention approaches. Ethical considerations such as privacy, consent, and equity are essential when applying population genetics. By linking genetic diversity with health outcomes, population genetic analysis provides valuable insights into disease mechanisms and supports more targeted, effective, and equitable public health interventions.
Title : Artificial radionuclides and evolutionary mismatch: Vulnerability of the colon, pancreas, diabetes, and arteries
Sebastiano Venturi, Department of Public Health of Rimini, Italy
Title : Specific strategies over the life course for early identification, prevention, treatment, and long-term support
Christopher Ashton, Center for Recovery, Canada
Title : Population health, public health and the social determinants of health: The state of the science
Adele Ann Webb, Strategic Education, Inc., United States
Title : The nutritional management of healthy menu plans
Iuliana Vintila, Dunărea de Jos University of Galați, Romania
Title : Healthcare system profiles and pandemic outcomes: A cross-country multi-dimensional scaling analysis of Cuba, Spain, Italy, and Germany
Giuseppe Orlando, University of Bari Aldo Moro, Italy
Title : Change your genes – change your life: Epigenetics of longevity
Kenneth R Pelletier, USCF School of Medicine, United States