Introduction to Statistical Methods for Gene Mapping - Kyoto University

edX
Online

Free

Important information

  • Course
  • Online
  • Duration:
    4 Weeks
  • When:
    Flexible
Description

Learn about statistical methods used to identify genetic variants responsible for phenotypes. With an apprenticeship you earn while you learn, you gain recognized qualifications, job specific skills and knowledge and this helps you stand out in the job market.With this course you earn while you learn, you gain recognized qualifications, job specific skills and knowledge and this helps you stand out in the job market.

Important information

Requirements: Undergraduate molecular genetics knowledge Basic concepts of statistical tests and estimation

Venues

Where and when

Starts Location
Flexible
Online

What you'll learn on the course

Data analysis
Statistics
Genetics
Gene Mapping
Phenotypes

Course programme

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.

Additional information

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