Genetic Epidemiology Foundations

What is Genetic Epidemiology? Historical Perspective and Introduction

Taught by Dr Nancy Cox, Vanderbilt University Medical Center 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

Introduction to Population Genetics: Models and Assumptions

Taught by Dr Bruce Weir, University of Washington 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 These principles will be essential to subsequent modules in this course

Population Structure and Genetic Association Studies

Taught by Dr Todd Edwards, Vanderbilt University Medical Center Building from the introduction to population genetics, in this module 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 In addition, you will be able to describe how admixture methods can be applied for association mapping

Basic Quality Control in Genetic Data: Data Structure

Taught by Dr Gonçalo Abecasis, University of Michigan and Regeneron, Inc 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 In addition, genotype imputation is introduced to infer genotypes at markers that were not typed in the study samples

Population-Based Association Studies

Taught by Dr. Celia Greenwood, McGill University 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 basic measures of association, common modeling strategies, how to adjust for multiple testing and why, how to evaluate association results, and how to increase reproducibility of study results, including the use of meta-analysis and genetic imputation

Family-Based Designs

Taught by Dr Joan Bailey Wilson, National Human Genome Research Institute, National Institutes of Health In this module, you will learn about the various ways in which family-based collections of genetic data are utilized in Genetic Epidemiology This includes methods that provide support that a genetic component to a trait exists as well as to identify modes of inheritance consistent with a set of data In addition, linkage methods, which identify large regions of the genome, and association methods, which identify a smaller set of variants, are covered to understand genetic factors affecting a trait