Nature CommunicationsGenomicsPeer-reviewed journal article
Genomic and Environmental Contributions to Chronic Diseases in Urban Populations
Marie-Julie FavéiD, Fabien Claude LamazeiD, David M. SoaveiD, Alan HodgkinsoniD, Héloïse Gauvin, Vanessa BruatiD, Jean‐Christophe GrenieriD, Elias Gbeha, Kimberly SkeadiD, Audrey SmargiassiiD, Markey JohnsoniD, Youssef IdaghdouriD, Philip AwadallaiD
Abstract
Uncovering the interaction between genomes and the environment is a principal challenge of modern genomics and preventive medicine. While theoretical models are well defined, little is known of the GxE interactions in humans. We used a system biology approach to comprehensively assess the interactions between 1.6 million environmental exposure data, health, and expression phenotypes, together with whole genome genetic variation, for [~]1000 individuals from a founder-population in Quebec. We reveal a substantial impact of the urbanization gradient on the transcriptome and clinical endophenotypes, overpowering that of genetic ancestry. In detail, air pollution impacts gene expression and pathways affecting cardio-metabolic and respiratory traits when controlling for genetic ancestry. Finally, we capture 34 clinically associated expression quantitative trait loci that interact with the environment (air pollution). Our findings demonstrate how the local environment directly affects chronic disease development, and that genetic variation, including rare variants, can modulate individuals response to environmental challenges.\n\nHighlightsO_LIFine scale environmental effects overpower those of ancestry on gene expression\nC_LIO_LIAir pollution (geographic and temporal) is associated with transcriptional response\nC_LIO_LIGene-by-environment interactions with air pollution include asthma associated loci\nC_LIO_LIInflammatory pathways and cardio-respiratory clinical traits are among those affected\nC_LI
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 118
- FWCI
- 7.82
- Field percentile
- top 2%
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
- Diverse environmental perturbations reveal the evolution and context-dependency of genetic effects on gene expression levels
Amanda J. Lea, Julie Peng, Julien F. Ayroles·Genome ResearchPeer-reviewed·Oct 13, 2022
- The rural urban divide, insights from immuno-genetic profiles and implications for health
R. Hamad, N. A. Eid, … A. Elhassan·bioRxiv·Sep 8, 2023
- Genetic and environmental contributions to ancestry differences in gene expression in the human brain
Kynon JM Benjamin, Qiang Chen, … Daniel R. Weinberger·bioRxiv·Mar 28, 2023
- Large-scale multivariate multi-ancestry Interaction analyses point towards different genetic mechanisms by population and exposure.
Vincent Laville, Timothy D. Majarian, … on behalf of the CHARGE Gene-Lifestyle Interactions Working Group·bioRxiv·Jan 17, 2020
- Interpreting coronary artery disease risk through gene-environment interactions in gene regulation
Anthony S Findley, Allison L. Richards, … Francesca Luca·GeneticsPeer-reviewed·Sep 6, 2019
- Allele-specific expression reveals interactions between genetic variation and environment
David A Knowles, Joe R Davis, … Alexis Battle·Nature MethodsPeer-reviewed·May 22, 2017