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. 2021 Jun 9;20(2):304–321. doi: 10.1016/j.gpb.2021.01.005

Figure 4.

Figure 4

Global view of factors influencing the vagino-cervical microbiome in the initial study cohort

A. Predicting the vagino-cervical microbiome from each omic dataset and vice versa using stepwise redundancy analysis. Numbers on the straight arrows indicate adjusted R-squared from vagino-cervical microbiome to multi-omic data; numbers on the curved arrows indicate adjusted R-squared from multi-omic data to vagino-cervical microbiome. B. Top 8 factors in each type of multi-omic data that are predicted by the vagino-cervical microbiome. Each covariate from the multi-omic data is detailed in Table S1. X-axis (length of the bar) is the model performance measured as the Spearman’s correlation coefficient between the prediction and measurement.  In the parentheses after Y-axis labels, the first column symbols are P values with 999 permutations, and the second column symbols are Q values for BH method (32 comparisons). “−” denotes value ≥ 0.1, “+” denotes 0.05 ≤ value < 0.1, “*” denotes value < 0.05, “**” denotes value < 0.01, and “***” denotes value < 0.001.