Affymetrix is committed to creating educational resources for the genetic community and facilitating the sharing of best practices and workflows. If you would like to contribute or learn more about additional topics for association studies, please email your suggestions and ideas to marcus_hausch@affymetrix.com.
Best Practices Data Analysis Workshop
On May 19, 2009 in Chicago, Affymetrix held its Best Practices in Genome-Wide Association Studies Data Analysis Workshop. At this event, experts in the field participated in panel discussions and seminars focusing on best practices and data analysis workflows for genome-wide association studies.
For your convenience, we've posted selected presentations from the workshop. We will update this page as new material becomes available, so please check back frequently.
Workshop Presentations
Joshua Korn
Broad Institute of MIT and Harvard
Discovery and Genotyping of Copy Number Variants Across the Frequency Spectrum
View presentation:
Christian Marshall
The Hospital for Sick Children
Assessment of Copy Number Variation in Autism Spectrum Disorder using the Affymetrix SNP Array 6.0
View presentation:
Part 1 (8:45) >
Part 2 (7:53) >
Part 3 (8:42) >
Part 4 (10:13) >
Kai Wang
Children's Hospital of Philadelphia
Pathway-based Approaches for Genome-wide Association Studies: Methodological and Practical Considerations
View presentation:
Benjamin Voight
Broad Institute of MIT and Harvard
Practical Aspects of Imputation-driven Meta-analysis of Association Studies
View presentation:
Nancy Cox
University of Chicago
Quality Control in Genome-wide Association Studies
View presentation:
Simon Cawley
Algorithms & Data Analysis, Affymetrix, Inc
Development of the SNP Array 6.0 and Considerations for Downstream Analysis
View presentation:
Part 1 (9:37) >
Part 2 (10:01) >
Part 3 (8:48) >
Part 4 (6:13) >
Support materials
- Data Sheet, Automated Genotyping Using the SNP Array 6.0 (pdf, 259 KB) >
- Data Sheet, Genome-Wide Human SNP Array 6.0 (pdf, 473 KB)
- Technical Note, Associating Copy Number and SNP Variation with Human Disease (pdf, 1.63 MB) >
- Technical Note, Linking Whole-genome Amplification to SNP Genotyping (pdf, 346 KB) >
- Application Note, A New Paradigm for Two-stage Association Studies (pdf, 144 KB) >
- Key Publications on the SNP Array 5.0/6.0 for Whole-genome Association Studies >

