Introduction to Statistical Methods for Gene Mapping
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.
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.
Upcoming start dates
- Self-paced Online
Who should attend?
- Undergraduate molecular genetics knowledge
- Basic concepts of statistical tests and estimation
- Section1: Basic Knowledge for Gene Mapping
- Section2: Linkage Disequilibrium
- Section3: GWAS and Multiple Testing
- Section4: Common Variants and Rare Variants
Course delivery details
This course is offered through Kyoto University, a partner institute of EdX.
2-3 hours per week
- Verified Track -$49
- Audit Track - Free
Certification / Credits
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
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