Introduction to Statistical Methods for Gene Mapping

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Free Online Course: Introduction to Statistical Methods for Gene Mapping provided by edX is a comprehensive online course, which lasts for 4 weeks long, 2-3 hours a week. The course is taught in English and is free of charge. Introduction to Statistical Methods for Gene Mapping is taught by Ryo Yamada.

Overview
  • 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.

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