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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...
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...
Human Genetics01:28

Human Genetics

Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...

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In Vivo Modeling of the Morbid Human Genome using Danio rerio
12:31

In Vivo Modeling of the Morbid Human Genome using Danio rerio

Published on: August 24, 2013

Simulating gene-environment interactions in complex human diseases.

Bo Peng1

  • 1Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. bpeng@mdanderson.org.

Genome Medicine
|March 30, 2010
PubMed
Summary
This summary is machine-generated.

Simulating complex human diseases caused by gene-environment interactions is challenging. A new mathematical model and computer program offer a way to simulate these interactions for better disease research.

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Area of Science:

  • Genetics and Environmental Health
  • Computational Biology
  • Disease Modeling

Background:

  • Understanding gene-environment interactions is crucial for human disease research.
  • Simulating complex diseases involving multiple genetic and environmental factors presents significant challenges.
  • Existing simulation methods may not fully capture biological complexities.

Purpose of the Study:

  • To evaluate a novel mathematical model and computer program for simulating gene-environment interactions.
  • To assess the utility of this approach for real-world complex disease studies.
  • To identify the advantages and limitations of the proposed simulation method.

Main Methods:

  • Review and analysis of the mathematical model proposed by Amato et al.
  • Evaluation of the associated computer program for simulating gene-environment interactions.
  • Assessment of the model's applicability to complex human diseases.

Main Results:

  • The model provides a framework for characterizing gene-environment interactions.
  • The computer program allows for simulation using biologically relevant inputs.
  • The approach has potential benefits but also limitations for real-world applications.

Conclusions:

  • The reviewed model and program offer a valuable tool for simulating gene-environment interactions.
  • Further evaluation is needed to determine its full impact on complex disease research.
  • The approach aids in generating simulated genetic samples for disease studies.