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

5.6K
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...
5.6K
Epistasis01:39

Epistasis

49.9K
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...
49.9K
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

1.3K
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.3K
Genetic Screens02:46

Genetic Screens

5.5K
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...
5.5K
Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

934
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...
934
Multiple Allele Traits01:49

Multiple Allele Traits

37.8K
The Concept of Multiple Allelism
37.8K

You might also read

Related Articles

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

Sort by
Same author

Genomic characterization of a large-scale chikungunya outbreak in China.

The Journal of infection·2026
Same author

Association between early SARS-CoV-2 viral rebound and post-COVID conditions among immunocompromised patients: cohort study.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases·2026
Same author

Interaction Patterns Among Risk Factors for Liver Cancer in Patients With Type 2 Diabetes in Primary Care: A Retrospective Cohort Study.

Health science reports·2026
Same author

Estimating the epidemic size of chikungunya virus infection in Guangzhou, China, from July to September 2025: a single-center cross-sectional study.

Emerging microbes & infections·2026
Same author

Effectiveness of nirmatrelvir/ritonavir and molnupiravir on post-COVID diabetes risk among an older adult cohort: a target trial emulation study.

BMC medicine·2026
Same author

Effectiveness of nirmatrelvir/ritonavir and molnupiravir in reducing the risk of short-term and long-term cardiovascular complications of COVID-19: a target trial emulation study.

Nature communications·2025

Related Experiment Video

Updated: Jan 1, 2026

Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine
10:40

Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine

Published on: December 22, 2017

10.9K

wtest: an integrated R package for genetic epistasis testing.

Rui Sun1,2, Xiaoxuan Xia1,2, Ka Chun Chong1,2

  • 1Division of Biostatistics and Centre for Clinical Research and Biostatistics(CCRB), JC School of Public Health and Primary Care, the Chinese University of Hong Kong, Sha Tin, Hong Kong SAR, China.

BMC Medical Genomics
|December 26, 2019
PubMed
Summary

The wtest R package provides a robust tool for analyzing genetic interactions in large genomic datasets. It efficiently tests for various interactions, aiding in understanding disease etiology.

Keywords:
Association studyEpistasis testingR package

More Related Videos

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.7K
A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
05:01

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

3.6K

Related Experiment Videos

Last Updated: Jan 1, 2026

Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine
10:40

Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine

Published on: December 22, 2017

10.9K
Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.7K
A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
05:01

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

3.6K

Area of Science:

  • Genomics
  • Statistical Genetics
  • Bioinformatics

Background:

  • High-throughput genomic sequencing generates vast datasets, necessitating advanced tools for interaction analysis.
  • Identifying single nucleotide polymorphism-single nucleotide polymorphism (SNP-SNP), SNP-CpG, and higher-order interactions is crucial for understanding human disease genetics.
  • Genome-wide interaction analysis faces challenges due to computational intensity and limited statistical power in typical datasets.

Purpose of the Study:

  • To introduce the wtest R package, a flexible and robust tool for comprehensive genetic interaction analysis.
  • To address the computational and statistical power limitations in genome-wide interaction studies.

Main Methods:

  • The wtest R package implements association testing for main effects and complex interactions (pairwise and higher-order).
  • It analyzes cis-regulation of SNP and CpG sites across genome-wide and epigenome-wide data.
  • The package incorporates diagnostic and analysis functions for genetic epistasis testing.

Main Results:

  • wtest enables efficient and powerful statistical testing for various genetic interactions.
  • It provides an integrated toolset for analyzing SNP-SNP, SNP-CpG, and higher-order interactions.
  • The software facilitates cis-regulation analysis in genomic and epigenomic data.

Conclusions:

  • wtest is an efficient and powerful statistical tool for integrated genetic epistasis testing.
  • The R package is readily available on CRAN, promoting its accessibility for researchers.
  • This tool aids in dissecting the genetic architecture of complex diseases through interaction analysis.