Fig. 5
From: Opportunities and limits of combining microbiome and genome data for complex trait prediction
Parameter estimates for \(r^{2}\) = 0.50. Estimates of heritability (\(h^{2}\)), microbiability (\(b^{2}\)), and the correlation between the genome and microbiome (\(gb\)) for each of the RKHS (Bayes C) analysis models: model Rgbx includes microbiome and genome data and their interaction; Cgb includes genome and microbiome data; Rg (Cg) includes genome data only, and Rb (Cb) includes microbiome data only. Details of simulation scenarios are in Tables 1 and 2: G, Genome scenario; M, Microbiome; I, Indirect; J, Joint; R, Recursive; G500, J500 and R500 mean 500 causative SNPs; J10 and R10, 10 causative OTU; J100 and R100, 100 causative OTU; J250 and R250, 250 causative OTU. The horizontal dashed lines indicate simulated \(h^{2}\) or \(b^{2}\) parameter values (0.25, 0.5 depending on the scenario). Results are an average of 30 replicates