Improved detection of microbiome-disease associations via population structure-aware generalized linear mixed effects models (microSLAM)
Fig 2
MicroSLAM detects both strain and gene associations.
A) The GRM for Ruminococcus B gnavus with hosts sorted by their estimated b values and annotated by their disease status. B) PCoA from the R. gnavus gene presence/absence colored by host disease status (as in A). C) Histogram of permutation test statistics (-values) from the
test for R. gnavus. The line denotes the observed value of t. D) ROC plot for the microSLAM
test model for R. gnavus. The statistic τ quantifies population structure. E) Gene presence/absence plot for a subset of genes associated with the random effect b for R. gnavus. Samples are ordered by b and annotated by their disease status.