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Event

Workshop: Genetic Meta-Analysis

Wednesday, March 13, 2024 10:00to12:00
Education Building 3700 rue McTavish, Montreal, QC, H3A 1Y2, CA

°¿±¹±ð°ù±¹¾±±ð·É:ÌýGenome-wide association studies (GWAS) have led to the identification of thousands of genetic variants associated with diseases such as type-2 diabetes and hypertension.Ìý However, discoveries were made only after very large samples were collected and analyzed.Ìý Because of confidentiality restrictions on individual-level data sharing, such large samples were often reached by combining GWAS summary results from multiple cohorts using meta-analysis approaches.Ìý In this workshop, we will introduce statistical meta-analysis approaches for combining GWAS results.Ìý This will be followed by a hands-on tutorial on how to perform meta-analyses of genetic association results.

Learning Goals: At the end of this workshop, students should be able to perform a meta-analysis of results form genome-wide association studies using commonly used meta-analysis software such as METAL and GWAMA.

Prerequisites:

  • Before registering for the workshop, students must first follow the software installation instructions found in the attached PDF document found in the green box . At the end of the document, there is a quiz question and the student must provide the answer in the Registration Form.
  • Students should already have experience with Linux and/or Cluster Computing. If you do not have experience, please contact CDSI's admin. assistant, Nadime Rahimian, at cdsi.science [at] mcgill.ca for recordings of our workshops Intro to Linux ²¹²Ô»åÌýIntro to Cluster Computing.Ìý
  • Students must bring their own laptop to this workshop.


Location: HYBRID. Online via Zoom, or in-person at the  room 113.
±õ²Ô²õ³Ù°ù³Ü³¦³Ù´Ç°ù:ÌýJosee Dupuis, Ph.D., Professor and Chair of the Department of Epidemiology, Biostatistics and Occupational Health

Registration:

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