Introduction to Biostatistics for Genome Wide Association Testing

     

    Workshop Title: Introduction to Biostatistics for Genome Wide Association Testing

    Venue of workshop: Institut Pasteur de Tunis, Tunis, Tunisia

    Dates for the workshop: 16th March to 26th March 2015

    Workshop organisers: H3ABioNet and the Institut Pasteur de Tunis H3ABioNet Node

     Trainers and support staff:  Dr. Jean-Baka Domelevo Entfellner,  Prof. Ahmed Rebai, Dr Najla Kharrat, Dr Amel Ghouila, Dr Kais Ghedira, Prof. Alia Benkahla, Mohamed Alibi

    Participation: Open application for H3Africa consortium members and partners with selection, giving priority to those with demonstrated need for this training. A total of 18 participants from all the applications received will be selected.

    Course Overview:  The “Introduction to Biostatistics for Genome Wide Association testing” workshop provides an introduction to the basic concepts in biostatistics required for genome wide association studies, e.g. data types, experimental design, statistical tests, probabilities, R, etc.  During the second week, basic statistical concepts relevant to population genetics and genome wide association tests will be introduced to build foundational knowledge for genome wide association studies. The workshop will consist of a series of theory and lectures during the morning sessions and “hands on” practical lab sessions during the afternoon periods.

    Intended Audience: This workshop is aimed at H3Africa project members who will be involved in the design and analyses of population data and genome wide association testing, and those who need statistical skills for their research.

    Syllabus and Tools: Participants will learn about Biostatistics and R, population genetics

    Prerequisites: 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

     Objectives: After this workshop participants should be able to:

    • Determine which statistical tests are appropriate given their data types
    • Conduct hypothesis testing and correct for multiple hypothesis testing
    • Determine what types of sampling there are and the effective sample size required
    • Have a good familiarity with R and conducting statistical tests within R
    • Have a good background on the theory behind population genetics
    • Be able to conduct a variety of population genetics statistical tests

    Workshop limitations: This workshop will only provide a foundation for continued learning in biostatistics and population genetics and will not make you an expert in biostatistics, population genetics and genome wide association testing and studies.

    Exit Workshop Survey: Please click here and fill in the form.

    Workshop Materials: https://training.h3abionet.org/biostats_pop_gen_2015/

     

     

     


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