Integrated multi-OMIC investigation of gut microbiota and metabolomics to identify gut-derived factors associated with cardiometabolic health

In this data driven investigation integrating datasets from multiple geographically distinct populations, we aim to identify the gut microbiome markers associated with serum biochemical markers and measurements associated with cardiometabolic disease risk. As described previously, we aim to apply a combination of cross-study meta-analysis and distributed machine-learning based approaches to identify the gut microbiome markers showing reproducible associations with either single or multiple cardiometabolic risk markers as well as look into their variability across populations. The study already utilizes a discovery cohort that contains datasets from as many as 10 different nationalities. We also aim to validate our findings on a few large population level datasets with matched gut microbiome profiles. We require the Lifelines-DEEP cohort as part of this investigation.