Introduction to Genome-Wide Association Studies (GWAS) for complex diseases

: Training; 12 December 2017; Hits: 11399

Training

Course Overview
The African Institute for Mathematical Sciences (AIMS) Ghana and the H3ABioNet Node of the Noguchi Memorial Institute for Medical Research (NMIMR) University of Ghana, are organizing a five-day intensive workshop on GWAS for complex diseases.

Intended Audience
Graduate students, research assistants, postdocs and established and young investigators entering the field of complex trait genetics from a variety of backgrounds such as biological, bioinformatics, statistics, mathematics and computer science.

Keywords: GWAS, Complex Diseases, Population Genetics

Skill level of training: Intermediate

Language: English

Credential awarded: No credential awarded

Type of training: Face-to-face

Venue of the course: Conference Room - Noguchi Memorial Institute for Medical Research, Ghana

Dates for the course: 12th to 16th June 2017

Course organisers: The African Institute for Mathematical Sciences (AIMS) Ghana and the H3ABioNet Node of the Noguchi Memorial Institute for Medical Research (NMIMR) University of Ghana

Participation: The course is open to anyone entering the field of complex trait genetics from a variety of backgrounds such as biological, bioinformatics, statistics, mathematics and computer science.

Course Sponsors: The African Institute for Mathematical Sciences (AIMS) Ghana H3ABioNet

Course objectives

This workshop is aimed at introducing an interdisciplinary audience to important concepts in genetics and population genetics that are relevant to complex disease association studies and data analysis. Participants will also be introduced to the potential of GWAS and to key strategic considerations in designing and performing association studies for mapping disease genes. It will cover the fundamental assumptions, showcase recent successes and discuss limitations of current GWAS approaches in the field of complex diseases, and particularly in the case of African populations known for low linkage disequilibrium. It will also provide ‘hands-on’ experience of data analysis.

Classroom applications

Registration for classrooms opens: Thu, 01/01/1970

Registration for classrooms closes: Thu, 01/01/1970

Link to classroom application form:

Notification date for successful classrooms: Thu, 01/01/1970

Maximum number of participants that may be accepted per classroom will be capped at

Participant applications

Registration for participants opens: Fri, 28/04/2017

Registration for participants closes: Fri, 19/05/2017

Participant registration link: https://docs.google.com/forms/d/e/1FAIpQLSccskI0-Hbm-pbGRNRtCfGHUU3ItxRASQWSS9M4BrbY0qIWzg/viewform

Syllabus and Tools

Participants will learn basic genetics and population genetics that is applicable to GWAS analysis, the design and analyses of population data and genome-wide association testing. Hands on data processing, analysis and the interpretation of result
Intended Audience: The target audience includes graduate students, research assistants, postdocs and established and young investigators entering the field of complex trait genetics from a variety of backgrounds such as biological, bioinformatics, statistics, mathematics and computer science.
Prerequisites: Selected participants will need to work through the following resources to enable them to gain the most from the workshop:
http://www.ee.surrey.ac.uk/Teaching/Unix/
http://www.r-tutor.com/r-introduction
https://www.python.org/

Prerequisites

Course limitations

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Training material availability

Training materials for this course are not currently available.

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