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

Epistasis Analysis01:09

Epistasis Analysis

6.0K
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...
6.0K
Epistasis01:39

Epistasis

50.7K
In addition to multiple alleles at the same locus influencing traits, numerous genes or alleles at different locations may interact and influence phenotypes in a phenomenon called epistasis. For example, rabbit fur can be black or brown depending on whether the animal is homozygous dominant or heterozygous at a TYRP1 locus. However, if the rabbit is also homozygous recessive at a locus on the tyrosinase gene (TYR), it will have an unshaded coat that appears white, regardless of its TYRP1...
50.7K
Multiple Allele Traits01:49

Multiple Allele Traits

38.5K
The Concept of Multiple Allelism
38.5K
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

16.3K
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...
16.3K
Genetic Lingo01:11

Genetic Lingo

116.5K
Overview
116.5K
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

You might also read

Related Articles

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

Sort by
Same author

Fermented foods and inflammation: a crossover intervention trial with fresh and pasteurized sauerkraut.

European journal of clinical nutrition·2026
Same author

Enhancer adoption by an LTR retrotransposon generates viral-like particles, causing developmental limb phenotypes.

Nature genetics·2025
Same author

A Simple Information Criterion for Variable Selection in High-Dimensional Regression.

Statistics in medicine·2024
Same author

A strategy for studying epigenetic diversity in natural populations: proof of concept in poplar and oak.

Journal of experimental botany·2024
Same author

Holistic view of the seascape dynamics and environment impact on macro-scale genetic connectivity of marine plankton populations.

BMC ecology and evolution·2023
Same author

How Do Prebiotics Affect Human Intestinal Bacteria?-Assessment of Bacterial Growth with Inulin and XOS In Vitro.

International journal of molecular sciences·2023
Same journal

OpenIMC: an open-source platform for analyzing single-cell and spatial proteomics by imaging mass cytometry.

BMC bioinformatics·2026
Same journal

NAP: an open source pipeline for cross-domain microbiome profiling using Nanopore sequencing-derived amplicon data.

BMC bioinformatics·2026
Same journal

SurvGME: an R package for survival analysis with graphical and measurement error models.

BMC bioinformatics·2026
Same journal

SimMapNet: a Bayesian framework for gene regulatory network inference using gene ontology similarities as external hint.

BMC bioinformatics·2026
Same journal

Dual channel drug-drug interactions extraction based on cross attention.

BMC bioinformatics·2026
Same journal

FeSseqdb: a curated sequence-level database and interpretable machine learning framework for identifying iron-sulfur proteins.

BMC bioinformatics·2026
See all related articles

Related Experiment Video

Updated: Mar 8, 2026

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
10:17

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

Published on: November 3, 2010

23.4K

Eigen-Epistasis for detecting gene-gene interactions.

Virginie Stanislas1, Cyril Dalmasso2, Christophe Ambroise2

  • 1Laboratoire de Mathématiques et Modélisation d'Evry (LaMME), Université d'Evry Val d'Essonne, UMR CNRS 8071, ENSIIE, USC INRA, 23 bvd de France, 91 037, Evry Cedex, Paris, France. virginie.stanislas@math.cnrs.fr.

BMC Bioinformatics
|January 25, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces a novel gene-level epistasis detection method for genome-wide association studies (GWASs). The approach effectively identifies gene-gene interactions without pre-filtering significant genes, enhancing discovery power.

Keywords:
EpistasisGene-gene interactionsGenome-wide association studyGroup Lasso

More Related Videos

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

47.1K
A Deep-sequencing-assisted, Spontaneous Suppressor Screen in the Fission Yeast Schizosaccharomyces pombe
07:55

A Deep-sequencing-assisted, Spontaneous Suppressor Screen in the Fission Yeast Schizosaccharomyces pombe

Published on: March 7, 2019

8.6K

Related Experiment Videos

Last Updated: Mar 8, 2026

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
10:17

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

Published on: November 3, 2010

23.4K
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

47.1K
A Deep-sequencing-assisted, Spontaneous Suppressor Screen in the Fission Yeast Schizosaccharomyces pombe
07:55

A Deep-sequencing-assisted, Spontaneous Suppressor Screen in the Fission Yeast Schizosaccharomyces pombe

Published on: March 7, 2019

8.6K

Area of Science:

  • Genetics
  • Bioinformatics
  • Statistical Genomics

Background:

  • Genome-wide association studies (GWASs) extensively research epistatic interactions.
  • Existing research often prioritizes low-order interactions between single-nucleotide polymorphisms (SNPs) with significant main effects.

Purpose of the Study:

  • To develop an innovative method for detecting gene-level epistasis in GWASs.
  • To identify gene-gene interactions without the need for pre-filtering significant genes.

Main Methods:

  • Compute gene-pair interaction variables using the Eigen-Epistasis component.
  • Employ Group Lasso penalized regression for effect selection.
  • Control the False Discovery Rate (FDR) for robust statistical inference.

Main Results:

  • The proposed method demonstrates strong performance across various settings when compared to existing approaches.
  • Successfully identified novel gene-gene interactions in three real-world GWAS datasets.

Conclusions:

  • The Eigen-Epistasis approach offers a powerful and effective strategy for gene-level epistasis detection.
  • This method advances the understanding of complex genetic architectures in GWASs.