Biobank-scale exposome-wide risk factors in CAD and T2D: observational, predictive, and potentially causative evidence

Abstract Cardiovascular disease and diabetes are intricately related and influenced by factors within the “exposome”. The exposome refers to a broad assessment of cumulative environmental exposures, including physical-chemical, biological, behavior, ecosystem, and social influences, experienced from conception throughout life, along with their dynamic interactions with the genome (Vermeulen et al. 2020). Distinguishing between correlational and potentially causative risk associations is challenging, especially at exposome scale. Here, we triangulate observational Exposome-Wide Association Study ( ExWAS ) evidence with “randomized” evidence for the exposome using mendelian randomization (MR) for almost 500 exposures. First, the ExWAS identified 144 significant factors for coronary artery disease (CAD) and 237 for type 2 diabetes (T2D), with 120 shared between both. These factors had modest predictive ability (variance explained) for both phenotypes. However, a genetic-based potentially causative relationship was deduced for only 14 factors in CAD and 16 in T2D, with seven implicated in both. Additionally, we found strong concordance of MR-validated findings between prevalent and incident disease associations (85.7% [12/14] for CAD and 87.5% [14/16] for T2D). Most correlational findings pertain to lifestyle factors (particularly diet), but social educational factors are more prominently highlighted among those with potentially causative support.