Fig. 5
From: Multi-omic interactions in the gut of children at the onset of islet autoimmunity
Multi-omic factor analysis model identifies latent factors associated with immunoglobulins, mastadenovirus and islet autoimmunity. This model was developed after cubic spline regression on age. A The total variance explained for each omic. B The association of the latent factors (LFs) with other variables with q-values from a linear mixed model adjusted for age. C Hierarchical clustering of the weights for each LF for those with an absolute weight > 1 for any factor. Taxonomic and functional characteristics of the variables in C are indicated by the color in the legend, and clusters of variables with common features are apparent in the annotated dendrogram. D Scatterplots of LF1 versus LF2 and E LF1 versus LF3 according to the presence of mastadenovirus in subjects or samples. D LF6 according to case-control designation and timepoint. Cases vs control q = 0.09, case-time interaction q = 0.062