Introduction to Statistical Methods for Gene Mapping

Learn about statistical methods used to identify genetic variants responsible for phenotypes.

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Estimated 4 weeks
2–3 hours per week
Self-paced
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About this course

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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.

At a glance

  • Institution: KyotoUx
  • Subject: Data Analysis & Statistics
  • Level: Advanced
  • Prerequisites:
    • Undergraduate molecular genetics knowledge
    • Basic concepts of statistical tests and estimation
  • Language: English

What you'll learn

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  • 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

Section1: Basic Knowledge for Gene Mapping
Section2: Linkage Disequilibrium
Section3: GWAS and Multiple Testing
Section4: Common Variants and Rare Variants

About the instructors