Jove
Visualize
Contact Us

Related Concept Videos

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

14.7K
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...
14.7K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

6.5K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
6.5K

You might also read

Related Articles

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

Sort by
Same author

Biosynthetic gene clusters in <i>Pseudomonas viridiflava</i> have a fitness cost during <i>Arabidopsis thaliana</i> infection.

mSystems·2026
Same author

Rapid adaptation and extinction in synchronized outdoor evolution experiments of <i>Arabidopsis</i>.

Science (New York, N.Y.)·2026
Same author

Beyond Mendel: a call to revisit the genotype-phenotype map through new experimental paradigms.

Genetics·2026
Same author

Cell-type-specific gating of gene regulatory modules as a hallmark of early immune responses in Arabidopsis leaves.

The New phytologist·2026
Same author

Complexity welcome: Pangenome graphs for comprehensive population genomics.

Quantitative plant biology·2025
Same author

A comparison of 27 Arabidopsis thaliana genomes and the path toward an unbiased characterization of genetic polymorphism.

Nature genetics·2025
Same journal

3DICE: Interpretable 3D Cross-Modal Learning for Drug-Target Interaction Prediction and Large-Scale Drug Discovery.

Bioinformatics (Oxford, England)·2026
Same journal

KASSPer: Kinase Active Site Structure Prediction using Protein and Ligand Language Models and Its Application to Virtual Screening.

Bioinformatics (Oxford, England)·2026
Same journal

IDR searcher: a search engine solution for public image resources.

Bioinformatics (Oxford, England)·2026
Same journal

KCFtools: Rapid alignment-free method for introgression screening and GWAS using k-mer profiles.

Bioinformatics (Oxford, England)·2026
Same journal

Meta2DB: Curated shotgun metagenomic feature sets and metadata for health state prediction.

Bioinformatics (Oxford, England)·2026
Same journal

conMItion: an R package adjusting confounding factors for associations in multi-omics.

Bioinformatics (Oxford, England)·2026
See all related articles
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 Experiment Video

Updated: Oct 17, 2025

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

3.4K

vcf2gwas: Python API for comprehensive GWAS analysis using GEMMA.

Frank Vogt1, Gautam Shirsekar1, Detlef Weigel1

  • 1Department of Molecular Biology, Max Planck Institute for Developmental Biology, Tuebingen 72076, Germany.

Bioinformatics (Oxford, England)
|October 12, 2021
PubMed
Summary
This summary is machine-generated.

vcf2gwas simplifies genome-wide association studies (GWAS) by consolidating complex analysis steps into a single command. This package streamlines genotype and phenotype data processing, making GWAS more accessible for researchers.

More Related Videos

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

4.4K
A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
09:10

A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes

Published on: May 22, 2018

9.4K

Related Experiment Videos

Last Updated: Oct 17, 2025

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

3.4K
Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

4.4K
A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
09:10

A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes

Published on: May 22, 2018

9.4K

Area of Science:

  • Genetics
  • Bioinformatics
  • Computational Biology

Background:

  • Genome-wide association studies (GWAS) involve complex, multi-step analyses.
  • Traditional GWAS workflows require significant command-line expertise, manual data manipulation, and programming knowledge.
  • Newcomers to GWAS face substantial challenges in navigating these intricate processes.

Purpose of the Study:

  • To develop a user-friendly pipeline for conducting genome-wide association studies.
  • To simplify the process of analyzing genotype and phenotype data for GWAS.
  • To enhance the reproducibility of GWAS analyses.

Main Methods:

  • Introduction of the vcf2gwas package, a convenient pipeline for GWAS.
  • Reduction of the entire GWAS workflow to a single command-line input.
  • Integration and automatic installation of all necessary analysis software.

Main Results:

  • vcf2gwas streamlines the entire GWAS workflow from data input to results.
  • The package accepts Variant Call Format (VCF) and phenotype data files as direct input.
  • Enhanced features improve the reproducibility of GWAS analyses.

Conclusions:

  • vcf2gwas significantly lowers the barrier to entry for conducting GWAS.
  • The package offers a simplified and more accessible approach to genetic association studies.
  • vcf2gwas enhances the efficiency and reproducibility of genetic research.