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Analysis of GWAS Data with a Focus on Prediction of Complex Phenotypes

Details

Date & time Jul 4
Ends on Jul 8
Location
Aarhus, Denmark
Creator thepostdoctoral
Category seminar
Registration Link

Who's attending

thepostdoctoral Premium

Description

Analysis of GWAS Data with a Focus on Prediction of Complex Phenotypes

Prior to the course, students will be sent preliminary material that includes basics of statistics and the programming language R.



Here is a preliminary schedule for the five days of teaching:



Session 1A – Introduction and recap of preliminary material.


Session 1B – Basics of GWAS



Session 2A – Bayesian analysis

Session 2B – Traditional heritability analysis



Session 3A – Introduction to polygenic risk scores


Session 3B – SNP-based heritability analysis



Session 4A – Journal club (reading)

Session 4B – Journal club (presenting)



Session 5A – Advanced polygenic risk scores


Session 5B – Practical on material from whole week



After the teaching, students will spend two weeks revising the notes and completing an assignment


 

Instructor

Doug Speed


Peter Sørensen


Course coordinatorDoug Speed, [email protected] prerequisitesThere are no necessary prerequisites. However, ideally students will have a basic knowledge of statistics and experience with the programming language R.Forms of instructionClassroom instruction, Practical, Independent studyComments on form of instruction

In total, this course lasts approximately four weeks. At the start of July 2022, students will attend a five-day teaching component (Monday to Friday, 8.15-4pm). Students will then spend two weeks revising the course material and completing an assignment. Approximately three weeks after the course, students will have an oral exam.


Student are only required to be in Aarhus for the five-day teaching component (they can perform the remainder of the course, including the oral exam, remotely).


In addition to the five-day course (35 hours instruction), students are expected to spend 20 hours reading preliminary material, 40 hours revising the course material and 40 hours completing the project.


Total hours: 135 hours


Weeks: 20 hours preparation prior to the course; 35 hours classroom instruction during the course; 80 hours revising the material and completing the assignment after the course.

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