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

Dihybrid Crosses01:18

Dihybrid Crosses

82.8K
Overview
82.8K
Sex Linked Disorders01:43

Sex Linked Disorders

29.4K
29.4K
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

16.7K
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...
16.7K
Ligand Binding and Linkage00:49

Ligand Binding and Linkage

6.0K
Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked.  In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence...
6.0K
Ligand Binding and Linkage00:49

Ligand Binding and Linkage

4.3K
4.3K
Epistasis Analysis01:09

Epistasis Analysis

6.2K
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...
6.2K

You might also read

Related Articles

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

Sort by
Same author

diempy: fast and reference-free genome polarisation and chromosome painting.

G3 (Bethesda, Md.)·2026
Same author

The Shapes of Clines and Wavefronts.

Molecular ecology·2025
Same author

Comparative Genomic Analysis of Co-Occurring Hybrid Zones of House Mouse Parasites Pneumocystis murina and Syphacia obvelata Using Genome Polarisation.

Molecular ecology·2025
Same author

Genomic regions of current low hybridisation mark long-term barriers to gene flow in scarce swallowtail butterflies.

PLoS genetics·2025
Same author

Widespread Adaptive Introgression of Major Histocompatibility Complex Genes across Vertebrate Hybrid Zones.

Molecular biology and evolution·2024
Same author

Evidence of introgression, ecological divergence and adaptation in Asterias sea stars.

Molecular ecology·2023

Related Experiment Video

Updated: Apr 5, 2026

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

5.0K

Exploring linkage disequilibrium.

Stuart J E Baird1

  • 1Institute of Vertebrate Biology, The Academy of Sciences of the Czech Republic, External Research Facility Studenec, Studenec, Koněšín, 67502, Czech Republic.

Molecular Ecology Resources
|August 12, 2015
PubMed
Summary
This summary is machine-generated.

Linkage disequilibrium (LD) is crucial in evolutionary biology as high-density genomic data requires accounting for associations between loci. Understanding LD helps avoid overconfidence in analyses and reveals past evolutionary events.

Keywords:
bioinfomatics/phyloinfomaticsgenomics/proteomicspopulation genetics-empiricalpopulation genetics-theoretical

More Related Videos

Detection of Homologous Recombination Intermediates via Proximity Ligation and Quantitative PCR in Saccharomyces cerevisiae
07:55

Detection of Homologous Recombination Intermediates via Proximity Ligation and Quantitative PCR in Saccharomyces cerevisiae

Published on: September 11, 2022

2.4K
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

3.8K

Related Experiment Videos

Last Updated: Apr 5, 2026

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

5.0K
Detection of Homologous Recombination Intermediates via Proximity Ligation and Quantitative PCR in Saccharomyces cerevisiae
07:55

Detection of Homologous Recombination Intermediates via Proximity Ligation and Quantitative PCR in Saccharomyces cerevisiae

Published on: September 11, 2022

2.4K
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

3.8K

Area of Science:

  • Evolutionary biology
  • Population genetics
  • Genomics

Background:

  • Linkage disequilibrium (LD) describes the non-random association of alleles across genetic loci.
  • Advances in multilocus sampling technology increase marker density, necessitating a deeper understanding of LD.
  • Ignoring LD in high-density genomic analyses can lead to overconfidence in evolutionary conclusions.

Discussion:

  • As marker density increases, loci are often physically close on chromosomes, reducing their independence.
  • Slow decay of LD due to limited meiotic crossovers means ancient associations persist.
  • Classic analyses assuming independent loci are prone to overconfidence when LD is prevalent.

Key Insights:

  • Accounting for LD controls for overconfidence in evolutionary analyses.
  • LD patterns can provide insights into historical evolutionary events, such as admixture.
  • New software, LDna, aids in exploring LD patterns using network analysis.

Outlook:

  • Increased awareness of LD is essential for evolutionary biologists.
  • Network analysis tools offer a promising approach to understanding LD.
  • Further research is needed to fully leverage LD information for evolutionary insights.