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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...
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...
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...
Combinatorial Gene Control02:33

Combinatorial Gene Control

Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
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...

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Related Experiment Video

Updated: Jun 27, 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

Invited commentary: efficient testing of gene-environment interaction.

Nilanjan Chatterjee1, Sholom Wacholder

  • 1Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, Department of Health and Human Services, Bethesda, Maryland, USA. chattern@mail.nih.gov

American Journal of Epidemiology
|November 22, 2008
PubMed
Summary
This summary is machine-generated.

New methods for gene-environment interaction studies improve disease prediction. These approaches leverage genetic and environmental data to identify disease risks more effectively.

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Last Updated: Jun 27, 2026

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Area of Science:

  • Genetics
  • Epidemiology
  • Biostatistics

Background:

  • Genome-wide association studies (GWAS) typically analyze genetic variations independently.
  • Gene-environment (GxE) interactions are crucial for understanding complex diseases but are challenging to study genome-wide.
  • Existing methods for GxE interaction analysis often lack power or are susceptible to inflated Type I error rates.

Discussion:

  • This study introduces two novel agnostic methods for genome-wide GxE interaction analysis.
  • Method 1: A two-step procedure to test for multiplicative GxE interaction, enhancing power through a multiple testing workaround.
  • Method 2: An empirical-Bayes shrinkage estimation framework for GxE interactions, offering improved efficiency and robustness to violations of the G-E independence assumption.

Key Insights:

  • The proposed methods enable the interrogation of the human genome for GxE interactions using an agnostic approach similar to GWAS.
  • Method 1 effectively increases statistical power for detecting GxE interactions.
  • Method 2 provides a robust framework that maintains accuracy even when the independence assumption is not fully met, outperforming case-only methods.

Outlook:

  • These advancements represent significant methodological progress in the field of genetic epidemiology.
  • The developed methods offer practical advantages for identifying complex disease risk factors.
  • Future research can build upon these approaches to refine GxE interaction studies and enhance disease prediction models.