Genetic Epidemiology: Analyzing Genetic Association Studies

Understanding how genetic variations influence human health is a cornerstone of modern medicine and public health. This course introduces you to the essential principles of genetic epidemiology, guiding you through the concepts and statistical methods used to link genes to complex diseases and traits. You will build a solid foundation in the design and analysis of genetic association studies. By studying written explanations, structured data scenarios, and step-by-step methodologies, you will learn how to prepare genetic data, perform vital quality control, and interpret statistical findings with confidence. What you'll learn: - Understand the foundational principles of human genetics, inheritance patterns, and population genetics. - Design genetic association studies, including candidate gene and genome-wide association study (GWAS) approaches. - Apply essential quality control workflows to filter and clean genetic data before analysis. - Perform basic statistical association tests to identify links between genetic variants and clinical phenotypes. - Interpret findings from polygenic risk scores (PRS) and evaluate their relevance to personalized medicine. - Address ethical, legal, and privacy considerations in modern genetic research. The course begins with core terminology and genetic inheritance concepts, moves through study design and statistical testing, and concludes with modern applications like polygenic risk scores and data privacy. This text-based course is designed for beginners in public health, biology, or data science who want to understand the statistical side of genetics, with no prior genetic epidemiology experience required. Start your journey into genetic data analysis today.