Bivariate Gaussian Mixture Model for GWAS summary statistics

Abstract

Bivariate Gaussian Mixture Model (GMM) is a novel statistical technique that jointly models GWAS summary statistics from two phenotypes as a mixture of causal, pleiotropic and null components. The model can be used as an... [ view full abstract ]

Authors

  1. Oleksandr Frei (University of Oslo/NORMENT)

Topic Area

Statistical Methods

Session

9B-SY » Polygenic Architecture of Mental Illness (13:15 - Saturday, 1st July, Sal D)

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