Genetic Epidemiology and Statistical Genetics

The program of Genetic Epidemiology and Statistical Genetics (PGSG) studies the genetic causes of complex human diseases. By uncovering the molecular mechanisms behind diseases, the program aims to improve its diagnosis, treatment, and prevention.

Genetic epidemiology is the study of how genetic factors, along with environmental influences like lifestyle or exposures, affect patterns of health and disease in populations, aiming to understand why certain diseases run in families and how genes interact with the environment. Statistical genetics is closely related and focuses on developing and applying statistical methods to analyze genetic data, such as identifying genes linked to diseases and interpreting large-scale genetic information. Together, these fields help scientists uncover how genes contribute to disease risk and provide important tools and insights for understanding human health.

The program in Genetic Epidemiology and Statistical Genetics (PGSG) investigates the genetic basis of complex human diseases, with a special emphasis on uncovering the molecular mechanisms behind cancer to advance its diagnosis, treatment, and prevention. The program also explores other chronic diseases and develops new statistical genetics methods in partnership with leading research institutions.

Highlights from the program include:

• Broad Research Interests: Faculty expertise includes nutrition, pharmacoepidemiology, aging, women’s health, basic science, policy and risk analysis, environmental and social epidemiology, global health, pediatrics, and methodology
• High-Throughput Polymorphism Detection Core Facility: Rapid identification of genetic variation
• Biostatistical Analysis and Bioinformatics: Advanced data interpretation and computational analysis
• Teaching and Research: Training and research opportunities in genetic epidemiology and statistical genetics, with a focus on cardiovascular epidemiology and collaborative studies
• Collaborative Environment: Partnerships with Harvard Chan School, Harvard Medical School, The Broad Institute, and others.

Learn more about our faculty below: