Fig. 4
From: Opportunities and limits of combining microbiome and genome data for complex trait prediction
Predictive accuracy with \({\text{r}}^{2}\) = 0.25, computed as correlation between predicted and observed phenotypes across causal scenarios (Fig. 1), for each of the RKHS (Bayes C) models. Rgb (Cgb) considers microbiome and genome data; Rgbx includes genome and microbiome data and their interaction; Rg (Cg) includes genome data only; Rb (Cb) includes microbiome data only. a Complete models; b Partial models. Details of scenarios are in Tables 1 and 2: G: Genome scenario; M: Microbiome; I: Indirect; J: Joint; R: Recursive. G500, J500 and R500 means 500 causative SNPs. Results are an average of 30 replicates per case