Human Genetics and Genomics AdvancesGenetic & Genomic MedicinePeer-reviewed journal article
Gene-environment interactions contribute to blood pressure variation across global populations
Khushi GodaiD, Noah Klimkowski Arango, Francesco TiezziiD, Trudy F. C. MackayiD, Fabio MorganteiD
Abstract
Understanding the interplay between genetic architecture and environmental exposures is essential for elucidating the biological basis of complex traits such as blood pressure (BP). Although gene-by-environment interactions (G x E) have been previously shown to contribute to BP variation, their role in multi-ancestry cohorts remains underexplored. We hypothesize that G x E effects may explain additional variance in BP traits across diverse populations, where environmental exposures and genetic backgrounds are more heterogeneous. Here, we present an evaluation of the importance of G x E on systolic (SP), diastolic (DP), and pulse pressure (PP) in a multi-ancestry subset of 25,000 individuals from the UK Biobank. We considered 23 lifestyle variables as the environmental exposures, and estimated variance components attributed to demographics, population structure, genetic effects, environmental effects and geneby-environment interactions. Our results revealed that G x E accounts for 7% of variance in DP, 4% in SP, and 3% in PP. Notably, these estimates exceed those previously reported (2% for all BP traits) in a UK Biobank analysis restricted to White British individuals using similar lifestyle variables and methodology. However, accounting for GxE did not improve prediction accuracy in two cross-validation schemes. We also tried to uncover individual interactions affecting each trait by conducting G x E-GWAS. Although no interaction surpassed genome-wide significance, we annotated suggestive hits and uncovered genes enriched in blood pressure-relevant pathways. Our study suggests that environmental heterogeneity and diverse genetic backgrounds in multi-ancestry cohorts may amplify the role of G x E, underscoring the importance of diverse populations in capturing the full spectrum of trait architecture.
- organism: human
- assay: GWAS summary statistics
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
- 1
- FWCI
- 0.00
- Field percentile
- 0th percentile
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Genetic analyses of blood pressure traits in 140,000 admixed adults from Mexico City
Michael Turner, Jaime Berumen-Campos, … Jason Torres·medRxiv·Sep 20, 2026
- Distinct explanations underlie gene-environment interactions in the UK Biobank
Arun Durvasula, Alkes L. Price·The American Journal of Human GeneticsPeer-reviewed·Feb 17, 2025
- Gene-environment interactions using a Bayesian whole genome regression model
Matthew Kerin, Jonathan Marchini·The American Journal of Human GeneticsPeer-reviewed·Sep 3, 2020
- An Evaluation of Age-varying Genetic Effects underlying Body-mass Index and Blood Pressure in the UK Biobank
Genevieve M Leyden, Panagiota Pagoni, … Eleanor C. M. Sanderson·medRxiv·Dec 17, 2025
- Causal relevance of different blood pressure traits on risk of cardiovascular diseases: GWAS and Mendelian randomisation in 100,000 Chinese adults
Alfred Pozarickij, Wei Gan, … China Kadoorie Biobank Collaborative Group·Nature CommunicationsPeer-reviewed·Jul 24, 2024
- A Large-Scale Genome-Wide Study of Gene-Sleep Duration Interactions for Blood Pressure in 811,405 Individuals from Diverse Populations
Pavithra Nagarajan, Thomas W. Winkler, … Stephen S. Rich·Molecular PsychiatryPeer-reviewed·Apr 4, 2025