Related Experiment Video
Updated: Oct 1, 2025

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
Published on: February 3, 2023
Simulated nonlinear genetic and environmental dynamics of complex traits
Michael D Hunter1, Kevin L McKee2, Eric Turkheimer3
1Department of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, USA.
This study simulates complex trait development, revealing that genome-wide association studies miss gene-environment interactions. Including related individuals in genome-wide complex trait analysis (GCTA) recovers these interactions, explaining the "missing heritability" in genetic studies.
Area of Science:
- Quantitative genetics
- Genomics
- Complex trait analysis
Background:
- Discrepancies in heritability estimates arise from different genetic study methods (genomic association vs. twin/family studies).
- Understanding the interplay of genetic and environmental factors is crucial for complex traits.
- The 'missing heritability' problem highlights a gap between observed genetic effects and heritability estimates.
Purpose of the Study:
- To simulate individual genomes under dynamic environmental conditions to explore genetic and environmental influences on complex traits.
- To investigate how linear/nonlinear effects, gene-by-environment interactions, and gene-by-environment correlations impact heritability estimates.
- To reconcile differing heritability estimates from various genetic study methodologies.
Main Methods:
- Developed a simulation model incorporating individual genomes and dynamic environmental conditions.
- Assessed the efficacy of genome-wide association studies (GWAS) in capturing gene-by-environment interactions.
- Utilized genome-wide complex trait analysis (GCTA) with related individuals to recover gene-by-environment interactions.
Main Results:
- Genome-wide association studies (GWAS) in unrelated individuals are insufficient for characterizing gene-by-environment interactions.
- Including related individuals in genome-wide complex trait analysis (GCTA) successfully recovers gene-by-environment interactions within heritability estimates.
- The simulation provides a theoretical explanation for the 'missing heritability' phenomenon.
Conclusions:
- Gene-by-environment interactions are critical components of complex trait heritability that are often missed by traditional GWAS.
- Genome-wide complex trait analysis (GCTA) with related individuals offers a more comprehensive approach to estimating heritability.
- This simulation model can serve as a tool for future hypothesis testing in phenotypic complexity research.
More Related Videos
10:44Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
Published on: December 7, 2021
06:52Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
Published on: September 17, 2019
Related Concept Videos
Behavioral Genetics and Its Designs
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
Mutation, Gene Flow, and Genetic Drift
Incomplete Dominance
Polygenic Traits
Background and Environment Affect 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 Drift