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

Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

1.2K
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...
1.2K
Epistasis Analysis01:09

Epistasis Analysis

5.9K
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...
5.9K
Gene-Environment Interactions01:20

Gene-Environment Interactions

1.3K
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...
1.3K
Pedigree Analysis01:35

Pedigree Analysis

89.9K
Overview
89.9K
Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

274
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
274
Understanding Interpersonal Attraction01:25

Understanding Interpersonal Attraction

351
Interpersonal attraction is a fundamental psychological phenomenon influencing human relationships across various contexts. It refers to one person's positive feelings or interests toward another, serving as the foundation for friendships, romantic partnerships, familial bonds, and professional relationships. The nature of interpersonal attraction extends beyond romantic connections, shaping interactions in both short-term and long-term social engagements.Psychological Foundations of...
351

You might also read

Related Articles

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

Sort by
Same author

Tread lightly interpreting group differences in genetic risk.

ArXiv·2026
Same author

The Biobank Rare Variant consortium powers the discovery of rare genetic associations through global collaboration.

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

A versatile multi-components mixed model for bacterial-Genome Wide association studies.

Nature communications·2026
Same author

Multi-Ancestry Epigenome-Wide Meta-Analysis Identifies Novel Bulk and Cell-Type-Specific Epigenetic Markers of Asthma with Severe Exacerbations.

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

CCAFE: Estimating Case and Control Allele Frequencies from GWAS Summary Statistics.

HGG advances·2026
Same author

Multi-ancestry transcriptome prediction with functionally informed variants in TOPMed MESA improves performance of transcriptome-wide association studies.

American journal of human genetics·2026
Same journal

Applying Bayesian Multivariable Mendelian Randomisation to Prioritise Candidate Causal Traits From High-Dimensional Data: Illustration From Estimation of the Effect of Maternal Metabolites on Offspring Birthweight.

Genetic epidemiology·2026
Same journal

Individualized Bayesian Inference Identifies Novel Genetic Variants for Parkinson's Disease.

Genetic epidemiology·2026
Same journal

DRIVE v3: Command Line Application for Identity-by-Descent Haplotype Clustering in Large Biobank Scale Data.

Genetic epidemiology·2026
Same journal

Deep Unsupervised Domain Adaptation for Translating Cancer Dependency Maps From Cell Lines to Breast Cancer Tumor Genomics.

Genetic epidemiology·2026
Same journal

Polygenic Risk Scores for Incident Dementia in the Multi-Ethnic Study of Atherosclerosis.

Genetic epidemiology·2026
Same journal

Outcome and Exposure Polygenic Risk Scores Can Help Reduce Information Bias and Selection Bias in Regression Estimates From Biobank Data.

Genetic epidemiology·2026
See all related articles

Related Experiment Video

Updated: Feb 19, 2026

Assessment of Social Interaction Behaviors
06:41

Assessment of Social Interaction Behaviors

Published on: February 25, 2011

95.4K

An ancestry-based approach for detecting interactions.

Danny S Park1, Itamar Eskin2, Eun Yong Kang3

  • 1Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA.

Genetic Epidemiology
|November 9, 2017
PubMed
Summary
This summary is machine-generated.

Genetic ancestry aids in identifying gene interactions influencing complex traits. This novel approach uses ancestry proportions in admixed populations to find significant genetic associations, improving complex trait research.

Keywords:
admixturegene-environment interactiongene-gene interactions

More Related Videos

A Pipeline using Bilateral In Utero Electroporation to Interrogate Genetic Influences on Rodent Behavior
06:59

A Pipeline using Bilateral In Utero Electroporation to Interrogate Genetic Influences on Rodent Behavior

Published on: May 21, 2020

4.7K
Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease
09:38

Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease

Published on: November 14, 2017

15.8K

Related Experiment Videos

Last Updated: Feb 19, 2026

Assessment of Social Interaction Behaviors
06:41

Assessment of Social Interaction Behaviors

Published on: February 25, 2011

95.4K
A Pipeline using Bilateral In Utero Electroporation to Interrogate Genetic Influences on Rodent Behavior
06:59

A Pipeline using Bilateral In Utero Electroporation to Interrogate Genetic Influences on Rodent Behavior

Published on: May 21, 2020

4.7K
Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease
09:38

Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease

Published on: November 14, 2017

15.8K

Area of Science:

  • Population Genetics
  • Statistical Genomics
  • Complex Trait Genetics

Background:

  • Epistasis and gene-environment interactions are key to complex trait variation in model organisms.
  • Identifying these interactions in human studies is difficult due to computational challenges and unmeasured environmental factors.

Purpose of the Study:

  • To develop a novel statistical method for detecting gene interactions in human populations.
  • To leverage genetic ancestry as a proxy for unmeasured environmental covariates.

Main Methods:

  • Developed a statistical approach utilizing genetic ancestry proportions in admixed populations.
  • Applied the method to gene expression and methylation data from African American and Latino individuals.

Main Results:

  • Identified nine significant gene interactions (P<5×10-8) in admixed populations.
  • Two methylation interactions replicated, and six showed significant enrichment for low P-values (P<1.8×10-6).

Conclusions:

  • Genetic ancestry serves as an effective proxy for unknown or unmeasured covariates in interaction analyses.
  • This approach has significant implications for understanding the genetic architecture of complex human traits.