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

1.2K
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...
1.2K
Gene Conversion02:08

Gene Conversion

10.7K
Other than maintaining genome stability via DNA repair, homologous recombination plays an important role in diversifying the genome. In fact, the recombination of sequences forms the molecular basis of genomic evolution. Random and non-random permutations of genomic sequences create a library of new amalgamated sequences. These newly formed genomes can determine the fitness and survival of cells. In bacteria, homologous and non-homologous types of recombination lead to the evolution of new...
10.7K
Gene Flow02:39

Gene Flow

38.0K
Gene flow is the transfer of genes among populations, resulting from either the dispersal of gametes or from the migration of individuals.
38.0K
Gene Families01:57

Gene Families

10.0K
Gene families consist of groups of genes proposed to have originated from a common ancestor. Typically these arise through events in which a gene or genes are mistakenly duplicated during cell division. Unlike their parent genes (which are subject to selection pressure to maintain function), these gene copies do not need to preserve their sequences and may evolve at a relatively faster rate.
Occasionally these regions can be adapted to take on new roles within the organism, becoming novel genes...
10.0K
Gene Therapy00:59

Gene Therapy

27.7K
Gene therapy is a technique where a gene is inserted into a person’s cells to prevent or treat a serious disease. The added gene may be a healthy version of the gene that is mutated in the patient, or it could be a different gene that inactivates or compensates for the patient’s disease-causing gene. For example, in patients with severe combined immunodeficiency (SCID) due to a mutation in the gene for the enzyme adenosine deaminase, a functioning version of the gene can be...
27.7K
What is Gene Expression?01:42

What is Gene Expression?

197.0K
Overview
Gene expression is the process in which DNA directs the synthesis of functional products, that is, proteins. Cells can regulate gene expression at various stages. It allows organisms to generate different cell types and enables cells to adapt to internal and external factors.
Genetic Information Flows from DNA to RNA to Protein
A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is made up of nucleotides and proteins consist of amino...
197.0K

You might also read

Related Articles

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

Sort by
Same author

Colliding Forces - The Aging of the Baby Boom Generation and Contracting Nursing-Home Supply.

The New England journal of medicine·2026
Same author

Exposure to Hurricane-Related Flooding and Outcomes of Home Health Care Patients.

JAMA health forum·2026
Same author

Trends in Prevalence of Moderate-To-Severe Obesity in US Nursing Homes, 2011-2023, and Characteristics of Facilities With High Obesity Prevalence.

Journal of the American Geriatrics Society·2026
Same author

Hematopoietic carcinogen assessment in bulk chemical products and air samples: focus on benzene exposure among subway maintenance workers.

Inhalation toxicology·2026
Same author

Parametric hypothesis testing for pathway based hierarchical structural component models.

Genes & genomics·2026
Same author

Analysis of severity in COVID-19 patients by using longitudinal immune profiles.

iScience·2026

Related Experiment Video

Updated: Feb 11, 2026

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research
09:35

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research

Published on: August 16, 2017

18.3K

Fuzzy set-based generalized multifactor dimensionality reduction analysis of gene-gene interactions.

Hye-Young Jung1, Sangseob Leem2, Taesung Park3

  • 1Faculty of Liberal Education, Seoul National University, Seoul, 08826, South Korea.

BMC Medical Genomics
|April 27, 2018
PubMed
Summary

We introduce fuzzy generalized multifactor dimensionality reduction (FGMDR) for detecting gene-gene interactions (GGIs). This new method improves the detection of causal SNPs and handles complex traits more effectively than existing approaches.

Keywords:
FGMDRFuzzy-set theoryGene-gene interactionMultifactor dimensionality reduction

More Related Videos

Using an Automated Cell Counter to Simplify Gene Expression Studies: siRNA Knockdown of IL-4 Dependent Gene Expression in Namalwa Cells
10:34

Using an Automated Cell Counter to Simplify Gene Expression Studies: siRNA Knockdown of IL-4 Dependent Gene Expression in Namalwa Cells

Published on: April 14, 2010

16.0K
Author Spotlight: Advancing Gene Editing in Bamboo Leaves for Sustainable Plastic Alternatives
06:57

Author Spotlight: Advancing Gene Editing in Bamboo Leaves for Sustainable Plastic Alternatives

Published on: August 18, 2023

2.3K

Related Experiment Videos

Last Updated: Feb 11, 2026

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research
09:35

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research

Published on: August 16, 2017

18.3K
Using an Automated Cell Counter to Simplify Gene Expression Studies: siRNA Knockdown of IL-4 Dependent Gene Expression in Namalwa Cells
10:34

Using an Automated Cell Counter to Simplify Gene Expression Studies: siRNA Knockdown of IL-4 Dependent Gene Expression in Namalwa Cells

Published on: April 14, 2010

16.0K
Author Spotlight: Advancing Gene Editing in Bamboo Leaves for Sustainable Plastic Alternatives
06:57

Author Spotlight: Advancing Gene Editing in Bamboo Leaves for Sustainable Plastic Alternatives

Published on: August 18, 2023

2.3K

Area of Science:

  • Genetics
  • Statistical Genetics
  • Bioinformatics

Background:

  • Gene-gene interactions (GGIs) contribute to missing heritability in genetic studies.
  • Multifactor dimensionality reduction (MDR) and its extension, generalized multifactor dimensionality reduction (GMDR), are common GGI detection methods.
  • Fuzzy MDR (FMDR) enhances GGI detection by using continuous membership values for improved power and interpretation.

Purpose of the Study:

  • To propose the fuzzy generalized multifactor dimensionality reduction (FGMDR) method.
  • To combine fuzzy set theory with GMDR for detecting GGIs associated with diseases.
  • To evaluate the performance of FGMDR in identifying causal SNPs and interactions.

Main Methods:

  • Developed the FGMDR method integrating fuzzy set theory and GMDR.
  • Conducted simulation studies across various trait types to assess detection ratios.
  • Applied FGMDR to real-world datasets, including Crohn's disease (binary phenotype) and HOMA-IR (continuous phenotype).

Main Results:

  • FGMDR demonstrated a higher detection ratio of causal SNPs compared to GMDR in simulations.
  • Analysis of real data identified known interactions associated with the studied phenotypes.
  • The method successfully handled both binary and continuous trait data.

Conclusions:

  • FGMDR is an effective method for GGI detection, incorporating covariate adjustments.
  • The FGMDR method shows promise for analyzing complex genetic traits and diseases.
  • An R software package for FGMDR is publicly available for research use.