Workshop: The Michigan Imputation Server: Data Preparation, Genotype Imputation, & Data Analysis

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    • Regular Member - $10
    • Early Career Member - $5
    • Resident/Clinical Fellow Member - $5
    • Postdoctoral Fellow Member - $5
    • Graduate Student Member - $5
    • Undergraduate Student Member - $5
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    • Nonmember - $25

Genotype imputation is a key component of modern genetic association studies. The Michigan Imputation Server has thus far helped > 8,500 researchers from around the world to impute > 80M human genomes. This interactive workshop is intended for anyone interested in learning how to impute genotypes and to use the imputed genotypes, highlighting recent reference panels, including the multi-ancestry panel from the TOPMed program and a specialized HLA panel. 

A brief overview of imputation and the server will be followed by demonstrations and exercises, including: 

1) quality control and preparation of genetic data for use on the MIS with a special focus on diverse ancestries, chromosome X, and the HLA region; 

2) tracking runs and use of the application program interface for larger jobs; 

3) downloading data from the MIS and preparing data for genetic analysis; 

4) performing a GWAS using imputed data and interpreting results, taking into account imputation quality; 

5) using the additional features, such as the polygenic risk score calculation. 

We encourage participants to ask specific questions about their own projects. Workshop materials, including slides and example data sets, will be made available before the workshop and will remain online at the MIS website. We expect that this workshop will enable participants to generate high-quality imputed data sets and to effectively analyze them.

Christian Fuchsberger

Eurac Research

Sebastian Schönherr

Medical University of Innsbruck

Xueling Sim

National University of Singapore

Lukas Forer

Medical University of Innsbruck

Saori Sakaue

Broad Institute

Albert Smith

University of Michigan

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Workshop: The Michigan Imputation Server: Data Preparation, Genotype Imputation, & Data Analysis
11/15/2022 at 8:30 AM (EST)  |  Recorded On: 11/18/2022
11/15/2022 at 8:30 AM (EST)  |  Recorded On: 11/18/2022