|
所在平台: Coursera |
课程主页: https://www.coursera.org/learn/genetic-epidemiology
课程评论：没有评论
课程名称：遗传流行病学基础 概述：本课程由科罗拉多大学丹佛分校与范德比尔特大学医学中心遗传学研究所及国际遗传流行病学学会合作开发，旨在为学生提供进行遗传关联研究数据统计分析所需的基础知识与背景。课程包括多个主题的讲座与评估，内容涵盖了遗传研究的历史（由南希·考克斯博士主讲）、人口遗传学的基础概念（由布鲁斯·威尔博士主讲）、遗传关联研究中的人口结构（由托德·爱德华兹博士主讲）、遗传研究的质量控制（由冈萨洛·阿贝卡西斯博士主讲）、基于人群的病例对照关联研究分析（由塞莉亚·格林伍德博士主讲）以及基于家庭的研究分析（由琼·贝利-威尔逊博士主讲）。该课程包含6个模块，提供示例概念和参考文献。 课程大纲： 1. **遗传流行病学是什么？历史视角与介绍** - 讲师：南希·考克斯博士 - 描述：你将了解遗传流行病学的起源及现代“组学”如何融入复杂性状的遗传流行病学，包括负担与阈值模型、基因表达的遗传调控及转录组推测。 2. **人口遗传学入门：模型与假设** - 讲师：布鲁斯·威尔博士 - 描述：本模块将介绍人口遗传学的基础，包括哈迪-温伯格原理、遗传漂变、人口结构、近亲繁殖与连锁不平衡，这些原则将为后续模块打下基础。 3. **人口结构与遗传关联研究** - 讲师：托德·爱德华兹博士 - 描述：在此模块中，您将学习导致不同人群遗传差异的过程、如何表征这些差异及在结构性人群中如何进行关联研究，以及如何应用混合方法进行关联绘图。 4. **遗传数据的基本质量控制：数据结构** - 讲师：冈萨洛·阿贝卡西斯博士 - 描述：质量控制是高通量基因型数据的重要步骤，本模块将介绍识别和处理分析过程中质量问题的不同方法，并介绍基因型推测以推断在研究样本中未测定的标记基因型。 5. **基于人群的关联研究** - 讲师：塞莉亚·格林伍德博士 - 描述：本模块重点介绍了基于人群的关联研究在复杂性状基因及基因组区域描绘中的重要作用，涵盖基本的关联度量、常见建模策略、多重检验的调整，以及评估关联结果和提高研究结果重现性的技巧。 6. **基于家庭的设计** - 讲师：琼·贝利-威尔逊博士 - 描述：您将学习如何在遗传流行病学中利用基于家庭的遗传数据集合，包括支持某个性状具有遗传成分的方法和识别与数据集一致的遗传方式，同时涵盖大范围基因组识别的连锁方法与小范围变种识别的关联方法。 本课程为希望在遗传流行病学领域深入学习的学生提供了全面的知识基础与实践技能。
Name:What is Genetic Epidemiology? Historical Perspective and Introduction
Description: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.
Name:Introduction to Population Genetics: Models and Assumptions
Description: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.
Name:Population Structure and Genetic Association Studies
Description: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.
Name: Basic Quality Control in Genetic Data: Data Structure
Description: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.
Name:Population-Based Association Studies
Description: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.
Name:Family-Based Designs
Description: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.
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.
