Identifying latent genetic interactions in genome-wide association studies using multiple traits

Identifying latent genetic interactions in genome-wide association studies using multiple traits

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Abstract The "missing" heritability of complex traits may be partly explained by genetic variants interacting with other genes or environments that are difficult to specify, observe, and detect.We propose a new kernel-based method wella color charm 050 cooling violet called Latent Interaction Testing (LIT) to screen for genetic interactions that leverages pleiotropy from multiple related traits without requiring the interacting variable to be specified or observed.Using simulated data, we demonstrate that LIT increases power to operation igloo white detect latent genetic interactions compared to univariate methods.We then apply LIT to obesity-related traits in the UK Biobank and detect variants with interactive effects near known obesity-related genes (URL: https://CRAN.R-project.

org/package=lit ).