Figure 3—figure supplement 1. | Social networks predict gut microbiome composition in wild baboons

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Social networks predict gut microbiome composition in wild baboons

Figure 3—figure supplement 1.

Affiliation details

Duke University, United States; National Museums of Kenya, Kenya; University of Montreal, Canada; University of Minnesota, United States; University of Notre Dame, United States; Princeton University, United States
Figure 3—figure supplement 1.
Download figureOpen in new tabFigure 3—figure supplement 1. Enrichment of low p-values in the data vs an empirical null: between group analyses.

To confirm that our modeling approach (quantile normalization of species relative abundances, followed by mixed effects modeling in GEMMA) did not bias us towards detecting false positives, we compared the signal in our true data set against an empirically derived null. The histogram distribution of p-values for the true data (gold) is plotted against the distribution of p-values from 10 permutations (blue). In each permutation, group membership was scrambled across the data set while keeping the modeling approach, kinship structure, and all other covariates constant. The inset shows a quantile–quantile plot of the same data, with clear enrichment of differentially abundant species in the actual data vs the empirical null. No differentially abundant species are detected at a 10% FDR in the permuted data sets, while 64 are discovered in the true data set.