A novel application of data-consistent inversion to overcome spurious inference in genome-wide association studies.

Abstract excerpt

The genome-wide association studies (GWAS) typically use linear or logistic regression models to identify associations between phenotypes (traits) and genotypes (genetic variants) of interest. However, the use of regression with the additive assumption has potential limitations. First, the normality assumption of residuals is the one that is rarely seen in practice, and deviation from normality increases the...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Computer Simulation
• Share to Genetic Variation