Fig. 6. Host genetic variation can influence the composition of the tumor microbiome.
a Genetic dissimilarity defined by Jaccard distance between patients is correlated with microbial beta-diversity (Bray–Curtis metric distance). Linear regression was used to evaluate the significance and coefficient of determination. The 95% confidence interval is shown. b Manhattan plot illustrating QTLs for microbial genus abundance. Each dot denotes an association pair between genetic variation and a microbial genus. The number labeled beside denotes the significance rank of QTLs. The red line corresponds to a significance threshold of 5 × 10−8 (FDR < 0.01) c Gene ontology enrichment for genes identified from loci associated with the abundance of genera. d KEGG pathway enrichment for genes identified from loci associated with the abundance of genera. The color and size of each bubble denote enrichment significance and the number of genes enriched in the functional category, respectively. e Correlation network showing the association between selected enriched GO terms or KEGG pathways and microbial genera. The functional terms were manually classified into 3 types. Lines denote the association, and colors represent the types of functions.