Events

Past Event

Mendelian Randomization Boot Camp: A Practical Guide to Study Design and Implementation

August 5, 2019 - August 6, 2019
9:00 AM - 5:30 PM
America/New_York
Allan Rosenfield Building, 722 W. 168 St., New York, NY 10032 8th Floor Auditorium
The Mendelian Randomization Boot Camp is a two-day intensive combination of seminars and hands-on analytical sessions to provide an overview of the concepts, techniques, packages, data sources, and data analysis methods needed to conduct Mendelian Randomization studies. This boot camp integrates motivation for Mendelian randomization studies, statistical concepts, genetic considerations, and practical examples to design, implement and interpret a Mendelian randomization analysis. The workshop will integrate seminar lectures with hands-on computer sessions to put concepts into practice. Emphasis will be given to leveraging existing publicly available resources (data, tools and packages) as well as indicating the scope for new studies. The afternoon lab sessions will provide an opportunity to work hands-on with real data. Participants will learn and practice all the steps required for a successful Mendelian randomization analysis using publicly available data, including identifying suitable data sources, data extraction, data alignment, assumption checking and sensitivity analysis. There is a limited capacity for the Boot Camp. Investigators at all career stages are welcome to attend, and we particularly encourage trainees and early-stage investigators to participate. Basic familiarity with R is recommended to get the most out of the Boot Camp, with tutorials on our website. Paid registration required through RegFox: https://columbia-workshops.regfox.com/2019-mendelian-randomization More information about registration deadlines, fees, and logistics can be found on our website at https://www.mailman.columbia.edu/mendelianrandomization Email us at [email protected] Registration Deadline: 7/29/19

Contact Information

Columbia University Environmental Health Sciences