An Information-Based Approach for Mediation Analysis on High-Dimensional Metagenomic Data.

ABSTRACT: The human microbiome plays a critical role in the development of gut-related illnesses such as inflammatory bowel disease and clinical pouchitis. A mediation model can be used to describe the interaction between host gene expression, the gut microbiome, and clinical/health situation (e.g., diseased or not, inflammation level) and may provide insights into underlying disease mechanisms. Current mediation regression methodology cannot adequately model high-dimensional exposures and mediators or mixed data types. Additionally, regression based mediation models require some assumptions for the model parameters, and the relationships are usually assumed to be linear and additive. With the microbiome being the mediators, these assumptions are violated. We propose two novel nonparametric procedur

SUBMITTER: Carter KM 

PROVIDER: S-EPMC7083016 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature