Mediation Analysis of High-Dimensional Microbiome and Host Genome Data
Recent studies have shown that human microbiota has a strong impact on human health and disease. However, they mainly focus on the association between human microbiota and the related diseases/health. In this research, we are interested in understanding how the microbiome and host genome jointly impact human health and disease by integrating multiple –omics data through mediation analysis. Host genes are treated as mediators, which transmit the effect of microbiota on host health. Currently, there is a lack of analytic approaches to dealing with high-dimensional correlated mediators and high dimensional microbiome. We propose a statistical procedure to investigate the mediation relationship between human microbiome, host genome and disease status under a high dimensional setting.