Introduction to Statistical Methods for Gene Mapping (edX)

Introduction to Statistical Methods for Gene Mapping (edX)
Course Auditing
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Undergraduate molecular genetics knowledge. Basic concepts of statistical tests and estimation.
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Introduction to Statistical Methods for Gene Mapping (edX)
Learn about statistical methods used to identify genetic variants responsible for phenotypes. This data course is a primer to statistical genetics and covers an approach called linkage disequilibrium mapping, which analyzes non-familial data and has been successfully used to identify genetic variants associated with common and complex genetic traits.

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We hope many students find this introductory course interesting and are motivated to study further topics in statistical genetics to understand biological variation from statistical standpoints.

Previous knowledge of molecular genetics and basic statistical concepts, such as statistical tests and estimation, is required. Basic knowledge on genetic variations is offered at the start of the course.




What you'll learn:

- Basic terms for genetic variations and gene mapping

- Linkage disequilibrium mapping and genome-wide association studies (GWAS)

- Common and rare variants and their effects on phenotypes


Course Syllabus


Section 1: Basic Knowledge for Gene Mapping

Section 2: Linkage Disequilibrium

Section 3: GWAS and Multiple Testing

Section 4: Common Variants and Rare Variants



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Course Auditing
41.00 EUR
Undergraduate molecular genetics knowledge. Basic concepts of statistical tests and estimation.

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.