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

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...
Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

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...
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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...
Gene-Environment Interactions01:20

Gene-Environment Interactions

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...
Genetic Screens02:46

Genetic Screens

Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...

You might also read

Related Articles

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

Sort by
Same author

Orchestrator multi-agent clinical decision support system for secondary headache diagnosis in primary care.

Journal of the American Medical Informatics Association : JAMIA·2026
Same author

The Effect of Enforcing Fairness on Reshaping Explanations in Machine Learning Models.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science·2026
Same author

A multimodal generative model for structured and unstructured electronic health records.

npj health systems·2026
Same author

Predicting the timing of first sustained cognitive worsening in Alzheimer's disease using real-world clinical data and machine learning.

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

Quantifying the Serum Magnesium Response and Predictors of Response Following Intravenous Magnesium Replacement in Critically Ill Patients.

Pharmacotherapy·2026
Same author

Long COVID Persistence and Surveillance Gaps Across 58 US Hospitals.

JAMA network open·2026
Same journal

Sensitivity Analyses of a Scoring System for a Contraception Decision Aid.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Improving electronic health record processing of large language models via retrieval-augmented generation: A case study on dietary supplements.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Developing a User-Centered Mobile Application Prototype: Bridging Lower-Limb Fracture Care from Skilled Nursing Facility and Back to the Community.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Automating Adjudication of Cardiovascular Events Using Large Language Models.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Predictive Factors and State-Level Barriers to Postpartum Birth Control Usage in the United States: Insights from PRAMS Phase 8.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
See all related articles

Related Experiment Video

Updated: Jun 14, 2026

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

A Bayesian method for identifying genetic interactions.

Shyam Visweswaran1, An-Kwok Ian Wong, M Michael Barmada

  • 1Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|March 31, 2010
PubMed
Summary
This summary is machine-generated.

Identifying interacting single nucleotide polymorphisms (SNPs) is crucial for understanding complex diseases. Our novel Bayesian combinatorial method (BCM) efficiently detects disease-predictive genetic variant combinations, outperforming existing methods.

More Related Videos

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
07:40

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions

Published on: May 27, 2021

Rapid Identification of Chemical Genetic Interactions in Saccharomyces cerevisiae
12:13

Rapid Identification of Chemical Genetic Interactions in Saccharomyces cerevisiae

Published on: April 5, 2015

Related Experiment Videos

Last Updated: Jun 14, 2026

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

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
07:40

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions

Published on: May 27, 2021

Rapid Identification of Chemical Genetic Interactions in Saccharomyces cerevisiae
12:13

Rapid Identification of Chemical Genetic Interactions in Saccharomyces cerevisiae

Published on: April 5, 2015

Area of Science:

  • Genetics
  • Bioinformatics
  • Computational Biology

Background:

  • Complex diseases are often influenced by epistatic interactions between multiple genetic variants.
  • Identifying these nonlinear interactions in single nucleotide polymorphism (SNP) data presents a significant analytical challenge.
  • Existing methods for detecting gene-gene interactions may lack sufficient power or computational efficiency.

Purpose of the Study:

  • To develop a novel computational method for detecting combinations of genetic variants associated with disease.
  • To specifically address the challenge of identifying nonlinear, epistatic interactions among SNPs.
  • To compare the performance of the new method against established techniques like multifactor dimensionality reduction (MDR).

Main Methods:

  • Introduction of the Bayesian combinatorial method (BCM), a novel approach for genetic interaction analysis.
  • Utilizing a Bayesian framework to model and detect combinations of genetic variants predictive of disease status.
  • Comparative analysis with multifactor dimensionality reduction (MDR) to evaluate BCM's performance.

Main Results:

  • The Bayesian combinatorial method (BCM) demonstrated significantly greater power in detecting epistatic interactions compared to multifactor dimensionality reduction (MDR).
  • BCM proved to be computationally more efficient than MDR, allowing for faster analysis of large SNP datasets.
  • The method successfully identified combinations of genetic variants associated with disease prediction.

Conclusions:

  • The Bayesian combinatorial method (BCM) is a powerful and computationally efficient tool for identifying epistatic interactions in SNP data.
  • BCM offers an advancement over existing methods for analyzing complex genetic architectures underlying common diseases.
  • This method has the potential to improve our understanding of the genetic basis of diseases by uncovering complex gene-gene relationships.