Introduction to Statistical Methods of Gene Mapping

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

Course Description

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.

Course Outcomes:
  • 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 Details:

Prerequisites

  • Undergraduate molecular genetics knowledge
  • Basic concepts of statistical tests and estimation
About Instructor:

Ryo Yamada - Professor of Statistical Genetics

Ryo Yamada is Professor of Statistical Genetics at Department of Medicine, Kyoto University.


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