Fig. 2
From: Meta-analysis of gut microbiome studies identifies disease-specific and shared responses

Comparing results from multiple studies of the same disease reveals patterns in disease-associated microbiome alterations. Heat maps showing log10(q values) for each disease (KW test, Benjamini–Hochberg FDR correction). Rows include all genera which were significant in at least one data set within each disease, columns are data sets. q values are colored by direction of the effect, where red indicates higher mean abundance in disease patients and blue indicates higher mean abundance in controls. Opacity ranges from q = 0.05–1, where q values less than 0.05 are the most opaque and q values close to 1 are gray. White indicates that the genus was not present in that data set. Within each heat map, rows are ordered from most disease-associated (top) to most health-associated (bottom) (i.e., by the sum across rows of the log10(q values), signed according to directionality of the effect). The extent of a disease-associated microbiome shift can be visualized by the number of rows in each disease heat map; the directionality of a shift can be seen in the ratio of red rows to blue rows within each disease. See Supplementary Fig. 2 for genus (row) labels