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Updated: Feb 11, 2026

Cryosectioning of Contiguous Regions of a Single Mouse Skeletal Muscle for Gene Expression and Histological Analyses
Published on: December 12, 2016
Interactions between genetic variation and cellular environment in skeletal muscle gene expression
D Leland Taylor1,2, David A Knowles3, Laura J Scott4
1National Human Genome Research Institute, National Institutes of Health, Bethesda, United States of America.
This study used allele-specific expression (ASE) to find genetic effects on gene expression influenced by environmental conditions. Researchers identified 10 candidate environmental response expression quantitative trait loci (reQTLs) in skeletal muscle tissue.
Area of Science:
- Genomics
- Molecular Biology
- Environmental Health
Background:
- Gene expression is influenced by both genetics and environmental factors.
- Understanding genotype-environment interactions (GxE) is crucial for comprehending trait variation.
- RNA-sequencing provides a molecular readout of genetic and environmental influences.
Purpose of the Study:
- To explore the use of allele-specific expression (ASE) for discovering cis-acting genotype-environment interactions (GxE).
- To identify genetic effects on gene expression that are contingent upon specific environmental conditions.
- To investigate GxE effects in human skeletal muscle tissue.
Main Methods:
- Utilized RNA-sequencing data from 267 skeletal muscle biopsies.
- Treated 17 common clinical traits as proxies for the cellular environment.
- Applied allele-specific expression (ASE) analysis to detect genotype-environment interactions (GxE).
Main Results:
- Identified 10 candidate environmental response expression quantitative trait loci (reQTLs).
- Detected signals across 6 different traits, representing 12 unique gene-environment trait pairs.
- Observed significant associations for traits including sex, systolic blood pressure, and LDL cholesterol at a 10% FDR.
Conclusions:
- Allele-specific expression (ASE) is a promising approach for detecting genotype-environment interactions (GxE).
- Replication of GxE signals requires harmonized environmental data and sufficient heterozygote sampling.
- Large-scale human transcriptome datasets and standardized phenotyping are essential for comprehensive discovery and validation.
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