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Introduction to Statistical Methods for Gene Mapping

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

There is one session available:

16,149 already enrolled! After a course session ends, it will be archived.
Starts Sep 17
Estimated 4 weeks
2–3 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available

About this course

Skip About this course

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
  • Video Transcript: English

What you'll learn

Skip 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

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

About the instructors

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