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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...
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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...
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Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This phenomenon...
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Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
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Despite the strong genetic influence on traits like intelligence, environmental factors significantly shape outcomes. For example, while over 90% of height variation is due to genetic differences, environmental factors such as nutrition also have a notable impact. Similarly, for intelligence, changes in a child's surroundings can significantly alter their IQ. Research shows that enriched environments boost children's academic success and help them develop key cognitive skills. Children from...
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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.
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Gene-environment Interaction Models to Unmask Susceptibility Mechanisms in Parkinson's Disease
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Published on: January 7, 2014

Environmental confounding in gene-environment interaction studies.

Tyler J Vanderweele1, Yi-An Ko, Bhramar Mukherjee

  • 1tvanderw@hsph.harvard.edu

American Journal of Epidemiology
|July 4, 2013
PubMed
Summary
This summary is machine-generated.

Uncontrolled environmental confounding can bias genetic studies, leading to incorrect conclusions about gene-environment interactions. Ignoring environmental factors inflates false positive rates in genetic association tests, even without true effects.

Keywords:
case-controlcase-onlyconfoundinggene-environmentinteractionjoint testsmarginal genetic association

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Area of Science:

  • Genetics
  • Epidemiology
  • Biostatistics

Background:

  • Gene-environment interaction (GxE) studies are crucial for understanding complex diseases.
  • Uncontrolled environmental confounding can distort findings in genetic association studies.
  • The interplay between genetic factors, environmental exposures, and disease risk is complex.

Purpose of the Study:

  • To investigate the impact of uncontrolled environmental confounding on joint tests for genetic effects and GxE.
  • To assess bias in GxE parameter estimation under confounding and gene-environment independence.
  • To evaluate the performance of existing joint tests in the presence of confounding.

Main Methods:

  • Theoretical analysis of statistical tests under confounding.
  • Simulation studies to evaluate test performance and parameter bias.
  • Examination of conditions for biased GxE estimation.

Main Results:

  • Joint tests for genetic effects and GxE are biased when genetic and environmental factors are correlated and confounding is present.
  • Ignoring environmental confounding leads to inflated Type I error rates, approaching 1 with increasing sample size.
  • Bias in GxE parameter estimates persists even under gene-environment independence if confounding is not controlled.

Conclusions:

  • Uncontrolled environmental confounding poses a significant threat to the validity of GxE studies.
  • Researchers must carefully consider and control for potential environmental confounders in genetic association studies.
  • The findings have critical implications for the design and interpretation of gene-environment interaction research.