Related Experiment Video
Updated: Jun 16, 2025

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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
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Disease-associated loci share properties with response eQTLs under common environmental exposures
Yoav Gilad1, Mingyuan Li2, Olivia Allen3
1Department of Human Genetics, The University of Chicago, Chicago, IL 60637, USA.
Research Square
|June 5, 2025
Summary
Environmental exposures reveal context-dependent gene regulation. This study identified hundreds of response expression quantitative loci (eQTLs) linked to environmental factors, offering new insights into disease genetics.
Area of Science:
- Genomics
- Molecular Biology
- Systems Biology
Background:
- Genetic loci associated with disease often exhibit context-dependent regulatory effects.
- These effects are underrepresented in transcriptomes from healthy, steady-state adult tissues.
Purpose of the Study:
- To investigate gene regulation across diverse environmental conditions and cellular contexts.
- To identify genetic loci that influence regulatory changes in response to environmental exposures.
Main Methods:
- Treatment of diverse human cell types with nicotine, caffeine, and ethanol in vitro.
- Generation of single-cell RNA-sequencing data from 1.4 million cells across 51 individuals.
- Identification of response expression quantitative loci (eQTLs) and dynamic regulatory effects.
Main Results:
- Hundreds of response eQTLs were identified, associated with inter-individual differences in regulatory changes.
- Dynamic regulatory effects were observed across differentiation trajectories in response to exposure.
- Response eQTLs are enriched in distal enhancers and regulate genes with complex regulatory landscapes and diverse functions, similar to disease risk loci.
Conclusions:
- Genetic regulatory effects are complex and context-dependent.
- Understanding gene-by-environment interactions in diverse biological contexts is crucial for interpreting disease-associated loci.
- Response eQTLs provide a new layer of genetic variation influencing disease risk.
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