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Related Concept Videos

Gene-Environment Interactions01:20

Gene-Environment Interactions

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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...
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Background and Environment Affect Phenotype02:27

Background and Environment Affect Phenotype

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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...
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Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

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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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Genetic Screens02:46

Genetic Screens

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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...
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Epistasis Analysis01:09

Epistasis Analysis

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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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Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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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: Apr 9, 2026

Gene-environment Interaction Models to Unmask Susceptibility Mechanisms in Parkinson's Disease
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Gene-environment Interaction Models to Unmask Susceptibility Mechanisms in Parkinson's Disease

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Powerful Set-Based Gene-Environment Interaction Testing Framework for Complex Diseases.

Shuo Jiao1, Ulrike Peters1, Sonja Berndt2

  • 1Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.

Genetic Epidemiology
|June 23, 2015
PubMed
Summary
This summary is machine-generated.

We developed enhanced set-based gene-environment interaction (G × E) testing (eSBERIA) and a case-only extension (coSBERIA) for improved complex disease research. These methods identified novel NSAID interactions with MINK1 and PTCHD3 in colorectal cancer.

Keywords:
G × E screening statisticsGWASeSBERUArare variants

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Area of Science:

  • Genetics and Genomics
  • Computational Biology
  • Epidemiology

Background:

  • Understanding complex disease etiology requires identifying gene-environment interactions (G × E).
  • Existing set-based methods face challenges in distinguishing true signals from noise during interaction analysis.

Purpose of the Study:

  • To introduce an enhanced set-based G × E testing framework (eSBERIA) and its case-only extension (coSBERIA).
  • To improve the power and accuracy of detecting G × E in complex diseases.

Main Methods:

  • eSBERIA adaptively aggregates interaction signals weighted by marginal and correlation screening strengths.
  • eSBERIA combines aggregate and variance component tests.
  • coSBERIA is a case-only extension leveraging G-E independence and avoiding main effect specification.

Main Results:

  • Extensive simulations demonstrate that eSBERIA and coSBERIA significantly outperform existing methods in both case-only and case-control scenarios.
  • Application to colorectal cancer data identified two novel G × E signals involving NSAIDs with MINK1 and PTCHD3.
  • The study analyzed data from 10,446 colorectal cancer cases and 10,191 controls.

Conclusions:

  • eSBERIA and coSBERIA offer powerful and robust frameworks for G × E analysis.
  • These methods enhance the ability to discover novel gene-environment interactions relevant to complex diseases like colorectal cancer.