4.3
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33 ratings

Todd Edwards +1 more instructor

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Genetic Epidemiology Foundations

University of Colorado System

About this Course

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This course is presented by the University of Colorado Denver in collaboration with the Vanderbilt Genetics Institute at Vanderbilt University Medical Center and the International Genetic Epidemiology Society. It is designed to provide students with the background and knowledge foundations necessary to conduct statistical analysis of genetic association study data. This course includes multiple lectures and evaluations on each of the topics: the history of genetics research presented by Dr. Nancy Cox, foundational concepts in population genetics presented by Dr. Bruce Weir, population structure in genetic association studies presented by Dr. Todd Edwards, quality control in genetic studies presented by Dr. Goncalo Abecasis, analysis of population-based case-control association studies presented by Dr. Celia Greenwood, and analysis of family-based studies presented by Dr. Joan Bailey-Wilson. Examples of concepts and reference literature are also provided in this 6-module course.

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Intermediate Level

Approx. 16 hours to complete

English

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Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Intermediate Level

Approx. 16 hours to complete

English

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Instructors

Instructor rating

4.57/5 (17 Ratings)

Todd Edwards

Ph.D.

3,489 Learners

1 Course

Stephanie A. Santorico

Ph.D.

3,489 Learners

1 Course

Offered by

University of Colorado System

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Syllabus - What you will learn from this course

Week1

Week 1

3 hours to complete

What is Genetic Epidemiology? Historical Perspective and Introduction

3 hours to complete

11 videos (Total 69 min), 3 readings, 1 quiz

11 videos

Course Introduction2mModule 1 Introduction: What is Genetic Epidemiology?53sOrigins of Genetic Epidemiology8mLegacies of these Origins and Scientific Rigor7mLiability and Threshold Models: Introduction6mTesting and an Example2mGenetic Regulation of Gene Expression9mIntroduction3mMethods8mMethods Continued and Extension8mPleiotropy9m

3 readings

Acknowledgements and Instructors10mGlossary10mReferences and Links10m

1 practice exercise

Module 1 Summative Assessment45m

Week2

Week 2

3 hours to complete

Introduction to Population Genetics: Models and Assumptions

3 hours to complete

16 videos (Total 115 min), 1 reading, 1 quiz

16 videos

Introduction to Population Genetics44sHardy-Weinberg Equilibrium Definition and Implications9mHWE Testing and P-Values9mHWE Testing Power, QQ Plots, and Multiple Tests5mHW Departures and Population Structure8mGenetic Drift I7mGenetic Drift II7mPopulation Structure I9mPopulation Structure II7mInbreeding and Relatedness I9mInbreeding and Relatedness II8mInbreeding and Relatedness III7mLinkage Disquilibrium I6mLinkage Disquilibrium II6mLinkage Disquilibrium III6mLinkage Disquilibrium IV5m

1 reading

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.

3 hours to complete

12 videos (Total 66 min), 2 readings, 1 quiz

12 videos

Population Structure1mDefinition of Population Structure and Brief Overview of Human History6mFactors the Influence Population Structure and Genetic Drift7mNatural Selection8mExamples of Population Structure in Modern Humans8mPima Example4mStatistical Methods I: Structured Association and Genomic Control5mStatistical Methods II: Principal Components Analysis5mStatistical Methods III: LD Score Regression3mStatistical Methods IV: Principal Components4mStatistical Methods V: Mixed Models3mStatistical Methods VI: Admixture Mapping6m

2 readings

Resources Part 110mResources Part 210m

1 practice exercise

Module 3 Summative Assessment1h

Week4

Week 4

2 hours to complete

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.

2 hours to complete

11 videos (Total 60 min), 1 reading, 1 quiz

11 videos

Basic Quality Control in Genetic Data1mMotivation and Background6mIntroduction to Quality Control6mQQplots: Part 14mQQplots: Part 25mMendelian Inconsistency Checks7mPopulation Structure: Part 14mPopulation Structure: Part 25mGenotype Imputation: Introduction5mGenotype Imputation: The Details, Part 14mGenotype Imputation: The Details, Part 27m

1 reading

Optional Readings10m

1 practice exercise

Module 4 Summative Assessment1h

Week5

Week 5

3 hours to complete

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.

3 hours to complete

14 videos (Total 71 min), 1 reading, 1 quiz

14 videos

Population-Based Association Studies1m Basic Measures: Part 14m Basic Measures: Part 27mCommon Modeling Strategies: Part 15mCommon Modeling Strategies: Part 25mIntroduction to Multiple Testing: Part 15mIntroduction to Multiple Testing: Part 26mReproducibility: Part 15mReproducibility: Part 26mIntroduction to Genotype Imputation: Part 15mIntroduction to Genotype Imputation: Part 23mIntroduction to Meta-Analysis and Consortia: Part 14mIntroduction to Meta-Analysis and Consortia: Part 24mIntroduction to Meta-Analysis and Consortia: Part 34m

1 reading

Resources10m

1 practice exercise

Module 5 Summative Assessment1h

Week6

Week 6

3 hours to complete

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.

3 hours to complete

18 videos (Total 107 min), 1 reading, 1 quiz

Reviews

4.3

6 reviews

5 stars
60.60%
4 stars
27.27%
3 stars
3.03%
2 stars
3.03%
1 star
6.06%

TOP REVIEWS FROM GENETIC EPIDEMIOLOGY FOUNDATIONS

by JBNov 27, 2022

Excellent introductory lectures. I learned alternative ways of presenting this material and corrected some details from self study.

by NNJun 26, 2022

Perfect course, full of all the necessary information. Thanks a lot to all instructors.

View all reviews

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Genetic Epidemiology Foundations

Genetic Epidemiology Foundations

About this Course