Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Gene-Environment Interactions01:20

Gene-Environment Interactions

584
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...
584
Background and Environment Affect Phenotype02:27

Background and Environment Affect Phenotype

6.7K
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...
6.7K
Polygenic Traits01:18

Polygenic Traits

66.7K
When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
66.7K
Heritability01:06

Heritability

314
Heritability is a statistical concept that measures the degree to which genetic differences among individuals contribute to trait variations within a population. It is a fundamental idea in genetics, often prone to misinterpretation. Heritability is expressed as a percentage, reflecting the proportion of variation in a specific trait across a population that can be linked to genetic differences. However, it's important to understand that heritability does not determine how "genetic"...
314
Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

554
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...
554
Epistasis Analysis01:09

Epistasis Analysis

5.3K
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...
5.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Early-life nutritional environment is associated with late-life cognition in the Health and Retirement Study, a pellagra epidemic natural experiment.

medRxiv : the preprint server for health sciences·2026
Same author

Impact of Subretinal Drusenoid Deposits on Ellipsoid Zone-Related Thickness Metrics.

Investigative ophthalmology & visual science·2026
Same author

4-Octyl itaconate attenuates renal calculi formation by inhibiting ferroptosis and oxidative stress via the Nrf2-HO-1/SLC7A11 axis.

European journal of pharmacology·2026
Same author

From targeted delivery to inflammation suppression: engineering plant exosomes for heart failure therapy post-infarction.

Materials today. Bio·2026
Same author

Frailty Predicts Incident Osteoporotic Fractures in Veterans with Rheumatoid Arthritis.

Arthritis care & research·2026
Same author

Therapeutic hypothermia protects the ischemic penumbra via Xkr8.

Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics·2026
Same journal

Many conferences lack clear information about disability access.

Nature human behaviour·2026
Same journal

An effort recalibration framework for digital media use and cognition.

Nature human behaviour·2026
Same journal

Interoception in self-harm and suicide: a scoping review and meta-analysis.

Nature human behaviour·2026
Same journal

Trusting the body and self-harm.

Nature human behaviour·2026
Same journal

Building capacity for unity in diversity.

Nature human behaviour·2026
Same journal

Secondhand smoke exposure and human health: an umbrella review.

Nature human behaviour·2026
See all related articles

Related Experiment Video

Updated: Sep 20, 2025

Gene-environment Interaction Models to Unmask Susceptibility Mechanisms in Parkinson's Disease
08:09

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

Published on: January 7, 2014

7.6K

PIGEON: a statistical framework for estimating gene-environment interaction for polygenic traits.

Jiacheng Miao1, Gefei Song2, Yixuan Wu2

  • 1Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA.

Nature Human Behaviour
|May 23, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces PIGEON, a new framework for gene-environment interaction (GxE) analysis. PIGEON uses summary statistics to efficiently study complex traits and identify genetic influences on health outcomes.

More Related Videos

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

3.8K
Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
14:06

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

46.6K

Related Experiment Videos

Last Updated: Sep 20, 2025

Gene-environment Interaction Models to Unmask Susceptibility Mechanisms in Parkinson's Disease
08:09

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

Published on: January 7, 2014

7.6K
Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

3.8K
Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
14:06

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

46.6K

Area of Science:

  • Genetics
  • Biostatistics
  • Complex Trait Genetics

Background:

  • Gene-environment interaction (GxE) is vital for understanding complex human traits.
  • Current GxE inference methods struggle with scalability and interpretability.

Purpose of the Study:

  • Introduce PIGEON, a unified statistical framework for polygenic GxE quantification.
  • Enable GxE inference using only summary statistics data.

Main Methods:

  • Developed a variance component analytical approach for polygenic GxE.
  • Designed an estimation procedure utilizing summary statistics.

Main Results:

  • Demonstrated PIGEON's effectiveness via theoretical and empirical analyses.
  • Applied PIGEON to gene-by-education and gene-by-sex interactions in UK Biobank data.
  • Identified genetic interactors influencing smoking cessation treatment heterogeneity.

Conclusions:

  • PIGEON offers a scalable and interpretable framework for polygenic GxE studies.
  • Highlights a path towards summary statistics-based GxE inference.