基因图谱的统计方法入门

Introduction to Statistical Methods for Gene Mapping

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

927 次查看
京都大学
edX
  • 完成时间大约为 4
  • 高级
  • 英语
注:因开课平台的各种因素变化,以上开课日期仅供参考

你将学到什么

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

课程概况

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.

课程大纲

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

预备知识

Undergraduate molecular genetics knowledge
Basic concepts of statistical tests and estimation

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