Systematic discovery of gene-environment interactions underlying the human plasma proteome in UK Biobank

Robert F. Hillary, Danni A. Gadd, Zhana Kuncheva, Tasos Mangelis, Tinchi Lin, Kyle Ferber, Helen McLaughlin, Heiko Runz, Riccardo E. Marioni (), Christopher N. Foley () and Benjamin B. Sun ()
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Robert F. Hillary: Optima Partners
Danni A. Gadd: Optima Partners
Zhana Kuncheva: Optima Partners
Tasos Mangelis: Optima Partners
Tinchi Lin: Biogen Inc.
Kyle Ferber: Biogen Inc.
Helen McLaughlin: Biogen Inc.
Heiko Runz: Biogen Inc.
Riccardo E. Marioni: Optima Partners
Christopher N. Foley: Optima Partners
Benjamin B. Sun: Biogen Inc.

Nature Communications, 2024, vol. 15, issue 1, 1-13

Abstract: Abstract Understanding how gene-environment interactions (GEIs) influence the circulating proteome could aid in biomarker discovery and validation. The presence of GEIs can be inferred from single nucleotide polymorphisms that associate with phenotypic variability - termed variance quantitative trait loci (vQTLs). Here, vQTL association studies are performed on plasma levels of 1463 proteins in 52,363 UK Biobank participants. A set of 677 independent vQTLs are identified across 568 proteins. They include 67 variants that lack conventional additive main effects on protein levels. Over 1100 GEIs are identified between 101 proteins and 153 environmental exposures. GEI analyses uncover possible mechanisms that explain why 13/67 vQTL-only sites lack corresponding main effects. Additional analyses also highlight how age, sex, epistatic interactions and statistical artefacts may underscore associations between genetic variation and variance heterogeneity. This study establishes the most comprehensive database yet of vQTLs and GEIs for the human proteome.

Date: 2024
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DOI: 10.1038/s41467-024-51744-5

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