We studied the genetic architecture of the human plasma metabolome using 913 metabolites assayed in 19,994 individuals. This study identified 2,599 variant–metabolite associations within 330 genomic regions, with rare variants (minor allele frequency ≤ 1%) explaining 9.4% of associations. Summary statistics and pathway visualizations can be explored here.
We performed genome-proteome-wide association analysis for 4,775 human plasma proteins assayed by the SomaScan v4 platform among over 10,000 individuals, identifying 2,584 genomic regions associated with at least one out of 3,892 protein targets. Explore our results here.
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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 pathw$ 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.
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.