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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...
Complementation Tests00:49

Complementation Tests

A complementation test is a simple cross to identify whether the two mutations are located on the same gene or different genes. It was first performed by Edward Lewis in the 1940s while working on fruit flies. He developed the test to identify the location and arrangement of different mutations on chromosomes.
Organisms heterozygous for different mutations are crossed pairwise in all combinations. If present on different genes, the mutations can complement each other by providing the missing...
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...
Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...

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Related Experiment Video

Updated: Jun 25, 2026

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans
09:23

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans

Published on: August 16, 2017

Mutual information for testing gene-environment interaction.

Xuesen Wu1, Li Jin, Momiao Xiong

  • 1School of Life Science, Theoretic Systems Biology Laboratory and Center for Evolutionary Biology, Fudan University, Shanghai, China.

Plos One
|February 25, 2009
PubMed
Summary
This summary is machine-generated.

This study defines and measures gene-environment interactions using mutual information. The developed statistics are more powerful than logistic regression for detecting these interactions in populations.

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Area of Science:

  • Genetics
  • Biostatistics
  • Complex Systems Analysis

Background:

  • Defining and detecting gene-environment interactions remains a challenge.
  • Existing methods may not fully capture the complexity of these interactions.

Purpose of the Study:

  • To define gene-environment interactions as stochastic dependence.
  • To develop and validate mutual information-based statistics for detecting gene-environment interactions.

Main Methods:

  • Defined gene-environment interactions using stochastic dependence.
  • Utilized mutual information to measure gene-environment interactions.
  • Developed and simulated mutual information-based statistical tests.

Main Results:

  • Mutual information-based statistics showed higher power than logistic regression.
  • Simulations validated null distributions and controlled type 1 error rates.
  • Real-world examples demonstrated superior performance with smaller P-values.

Conclusions:

  • Mutual information provides a robust framework for defining and detecting gene-environment interactions.
  • The novel statistical methods offer improved sensitivity for identifying gene-environment interactions.
  • This approach has significant implications for understanding disease etiology and genetic risk.