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1 King's College Circle, MS4171
  • April 16, 2024 from 3:10pm to 4:00pm

The Biostatistics Seminar Series presents:

Assessing Heteroscedasticity and Model Misspecification in GWAS for Gene-Environment Interaction” by Dr. Konstantin Shestopaloff, University of Aberdeen, UK

Abstract: This presentation will go over techniques to account for heteroscedasticity when evaluating the significance of gene-environment interactions in GWAS studies. The presented work was done as part of an analysis for a recently published paper assessing the role of genetics on treatment efficacy for autoimmune diseases. As part of the analysis, the inference model used to assess gene-environment interactions in a set of clinical trial data was assessed for misspecification and heteroscedasticity using a simulation study. Results indicated sparsity as the main cause of inflated type 1 error when using heteroscedasticity adjusted variances. A number of adjustments were made to minimize false positive rate while retaining model power.

Dr. Shestopaloff’s biosketch