Fig. 3
From: Opportunities and limits of combining microbiome and genome data for complex trait prediction
Predictive accuracy with r2 = 0.50, 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, c Effect of varying the number of causative OTU. Details of scenarios are in Tables 1 and 2: G: Genome; M: Microbiome; I: Indirect; J: Joint; R: Recursive. G500, J500 and R500 means 500 causative SNPs; J10 and R10, 10 causative OTU; J100 and R100, 100 causative OTU; J250 and R250, 250 causative OTU. Results are an average of 30 replicates per case