Among the most influential sets were those related to dipeptidyl peptidase activity, which includes DPP4, GLP1, and GIP and corresponds to established drug targets for diabetes, as well as fatty acid binding.19,20 For the protein nodes, the gradient saliency analysis also highlighted proteins, like SHBG, with potential associations with HbA1c (and its associated phenotypes).21,22 These results show that the model potentially captures disease-relevant structure. Here, GIP is linked to diabetes mellitus.