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. 2021 May 18;12:2907. doi: 10.1038/s41467-021-23029-8

Fig. 1. Pipeline overview.

Fig. 1

A Using publicly available metagenomic, shotgun sequencing datasets, we computed linear associations between microbiome features (gene family, pathway, or species abundances) and for each of seven different diseases separately. In cases where multiple cohorts were present for one disease, we meta-analyzed the association output. B We then computed Vibration of Effects (VoE), where, given the available individual-level metadata, we determined how model specification changes the association between each false-discovery rate significant feature and host phenotype.