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Related Concept Videos

Gene-Environment Interactions01:20

Gene-Environment Interactions

Gene expression is a dynamic process that is significantly influenced by environmental factors. This interaction underlies the complex nature of biological development and the phenotypic differences observed among individuals, even among those with identical genetic makeups. Factors such as radiation, temperature, behavior, nutrition, and stress play pivotal roles in determining how genes are expressed. The concept of the reaction range is central to understanding this interaction. It posits...
Background and Environment Affect Phenotype02:27

Background and Environment Affect Phenotype

Although the genetic makeup of an organism plays a major role in determining the phenotype, there are also several environmental factors, such as temperature, oxygen availability, presence of mutagens, that can alter an organism’s phenotype.
An example of how genetic background affects phenotype can be seen in horses. The Extension gene in horses is responsible for their coat color. A wild-type gene (EE) produces black pigment in the coat, while a mutant gene (ee) produces red pigment. A...
Genetic Screens02:46

Genetic Screens

Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
Epistasis Analysis01:09

Epistasis Analysis

Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...

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Related Experiment Video

Updated: May 10, 2026

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
10:17

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

Published on: November 3, 2010

Exploiting gene expression variation to capture gene-environment interactions for disease.

Youssef Idaghdour1, Philip Awadalla

  • 1Sainte-Justine Research Center, University of Montreal Montreal, QC, Canada.

Frontiers in Genetics
|June 12, 2013
PubMed
Summary

Investigating gene-environment interactions reveals how genetic and environmental factors influence gene expression. Understanding these transcriptional interactions is key to deciphering complex traits and diseases.

Keywords:
eQTLeSNPgene-environment interactionstranscriptome

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Area of Science:

  • Genetics
  • Genomics
  • Evolutionary Biology

Background:

  • Gene-environment interactions are crucial in genetics.
  • Understanding gene expression variation is vital for complex phenotypes.
  • Current research often overlooks interaction effects on transcriptional variation.

Purpose of the Study:

  • To survey the concept of transcriptional gene-environment interactions.
  • To discuss the utility of these interactions for disease mapping.
  • To integrate insights from genome-wide association studies of gene expression.

Main Methods:

  • Literature review and conceptual synthesis.
  • Analysis of existing genomic and gene expression data.
  • Discussion of implications for complex trait genetics.

Main Results:

  • Gene-environment interactions significantly impact gene expression.
  • Regulatory variants play a key role in transcriptional variation.
  • These interactions offer new avenues for understanding disease phenotypes.

Conclusions:

  • Transcriptional gene-environment interactions are essential for a comprehensive understanding of genetic architecture.
  • Further research is needed to fully elucidate their role in disease.
  • Integrating gene expression data with GWAS provides valuable insights.