We integrated genomic and proteomic data from over 10,000 individuals to characterize the genetic architecture of host proteins reported to interact with SARS-CoV-2 or to be related to virus entry, the host hyper-immune or procoagulant response, or severity of COVID-19. Explore our results here.
In our cross-platform, genome-wide meta-analyses of 174 blood metabolites across six cohorts and including over 80,000 participants we identified 362 genome-wide significant associations and provide examples of the influence of metabolite-associated variants on human health. Summary statistics (meta-analyses and individual studies) are available here.
Investigating the association of 1,014 blood metabolites with 27 incident diseases, all-cause mortality and disease multimorbidity in more than 11,000 participants, we identified shared and distinct pathways to non-communicable diseases and multimorbidity. We provide a comprehensive catalogue of risk factor - metabolite - disease associations by integrating data from over 50 modifiable clinical and other risk factors. Explore our results here.