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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...
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...
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...
Pedigree Analysis01:35

Pedigree Analysis

Overview
Pedigree Analysis01:35

Pedigree Analysis

Overview
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...

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Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
06:52

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

Published on: September 17, 2019

Two-stage analysis for gene-environment interaction utilizing both case-only and family-based analysis.

Yi-Hau Chen1, Hui-Wen Lin, Huimei Liu

  • 1Institute of Statistical Science, Academia Sinica, Taiwan, Republic of China. yhchen@stat.sinica.edu.tw

Genetic Epidemiology
|July 19, 2008
PubMed
Summary

This study introduces a novel two-stage design for gene-environment interaction studies. It combines efficient case-only analysis with robust family-based analysis for improved genetic research.

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Area of Science:

  • Genetics
  • Epidemiology
  • Biostatistics

Background:

  • Case-only studies are efficient for gene-environment interaction but assume gene-environment independence.
  • Family-based studies are robust to independence violations but less efficient.
  • Detecting gene-environment interactions requires robust and efficient study designs.

Purpose of the Study:

  • To propose a novel two-stage study design for detecting gene-environment interactions.
  • To develop statistical inference procedures for the proposed design.
  • To enhance estimation efficiency and testing power in genetic studies.

Main Methods:

  • A two-stage design combining case-only and family-based (case-parent/case-sibling) studies.
  • Utilizing a random subsample from the first stage for the second stage.
  • Developing statistical inference procedures for robustness and efficiency.

Main Results:

  • The proposed two-stage design maintains the robustness of family-based analyses.
  • It enhances estimation efficiency and testing power by incorporating case-only data.
  • Simulation results confirm the robustness and efficiency of the proposed strategies.

Conclusions:

  • The novel two-stage design offers a robust and efficient approach for gene-environment interaction studies.
  • This method improves upon traditional case-only and family-based designs.
  • It provides a powerful tool for genetic epidemiological research.