Genetic Epidemiology Foundations

In this module you will better understand genetic epidemiology from its origins to how modern 'omics is integrated into genetic epidemiology of complex traits. Coverage includes introduction of liability and threshold models, genetic regulation of gene expression, and transcriptome imputation.

Methods and designs using genetic data are built upon the foundation of population genetics. In this module, you will learn these foundations, including the Hardy Weinberg principle, genetic drift, population structure, inbreeding, and linkage disequilibrium.

Building from the introduction to population genetics, you will learn processes that lead to genetic differences between populations, methods to characterize these differences, and how to conduct association studies in structured populations.

Quality control is an important step for high throughput genotype data. In this module, you will learn a range of different approaches to identify and to deal with quality problems at different stages of the analysis.

Population based association studies have played an important role in mapping genes and genomic regions for complex traits by detecting association between alleles and a trait.

In this module, you will learn about the various ways in which family-based collections of genetic data are utilized in Genetic Epidemiology, including methods for identifying modes of inheritance and genetic factors affecting traits.