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

You might also read

Related Articles

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

Sort by
Same author

Etiology and Epidemiology of Acute Lower Respiratory Infections Among Hospitalized Pediatric Patients in Northeastern China: A Retrospective Study from 2023 to 2025.

Infection and drug resistance·2026
Same author

Equine infectious anemia virus blocks interferon responses through Rev-mediated activation of the stress granule-PKR-eIF2α pathway.

PLoS pathogens·2026
Same author

<i>Asparagus</i> <i>officinalis</i> potentially supports cancer care: a systematic review of randomized and non-randomized clinical studies.

Frontiers in nutrition·2026
Same author

Construction and Immunogenicity Evaluation of a Recombinant Fowlpox Virus Expressing VP2 Gene of African Horse Sickness Virus Serotype 1.

Microorganisms·2025
Same author

Development and Application of an Antigen Capture ELISA for the Detection of Enzootic Nasal Tumor Virus-2.

Transboundary and emerging diseases·2025
Same author

Outcomes after therapeutic SBE-ERCP for choledochojejunal/hepaticojejunal anastomotic stenosis after bile duct injury.

Frontiers in surgery·2025
Same journal

Construction and implementation of an ICF-based integrated teaching model for genetic disease severity assessment.

Yi chuan = Hereditas·2026
Same journal

Identification and prenatal genetic testing of pathogenic variants in a case of myoclonus-dystonia syndrome.

Yi chuan = Hereditas·2026
Same journal

A novel strategy to enhance precise targeting of the RNA base editor mxABE.

Yi chuan = Hereditas·2026
Same journal

Functional study of the soybean rapid alkalinization factor <i>GmRALF34s</i> in response to saline-alkali stress.

Yi chuan = Hereditas·2026
Same journal

Role of <i>broad</i> in intestinal stem cells of adult <i>Drosophila</i>.

Yi chuan = Hereditas·2026
Same journal

The p53 R267W mutation intervenes p21-mediated cell cycle arrest and promotes proliferation and migration of lung cancer cells.

Yi chuan = Hereditas·2026
See all related articles

Related Experiment Video

Updated: Nov 21, 2025

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

4.6K

[Bayesian statistics-based method for genetic linkage analysis].

Zai-Xiang Tang1, Xue-Feng Wang, Wen-Wen Wu

  • 1Jiangsu Provincial Key Laboratory of Crop Genetics and Physiology, Yangzhou University, Yangzhou, China.

Yi Chuan = Hereditas
|September 12, 2006
PubMed
Summary
This summary is machine-generated.

Bayesian methods offer a powerful alternative to classical statistics for genetic linkage analysis. This study demonstrates their effectiveness in estimating recombination fractions, performing linkage tests, and constructing genetic maps.

More Related Videos

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

11.2K
A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

11.5K

Related Experiment Videos

Last Updated: Nov 21, 2025

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

4.6K
Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

11.2K
A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

11.5K

Area of Science:

  • Statistics
  • Genetics
  • Bioinformatics

Context:

  • Classical statistical methods are widely used, but Bayesian approaches offer distinct advantages.
  • Bayesian methods are increasingly adopted across various scientific disciplines.
  • Genetic linkage analysis is crucial for understanding gene organization and inheritance patterns.

Purpose:

  • To explore the application of Bayesian methods in genetic linkage analysis.
  • To demonstrate Bayesian estimation of recombination fraction.
  • To showcase linkage testing using Bayes Factor and Bayesian genetic map construction via Markov chain Monte Carlo (MCMC).

Summary:

  • This paper details the application of Bayesian methodology in genetic linkage analysis.
  • Key applications include Bayesian estimation of recombination fraction, linkage testing via Bayes Factor, and genetic map construction using MCMC algorithms.
  • The study validates the Bayesian approach through simulation and real data analysis using SAS/IML software.

Impact:

  • The findings verify the validity and practicality of Bayesian methods in genetic linkage analysis.
  • This work provides a foundation for applying advanced statistical techniques in genetic research.
  • The successful application highlights the potential of Bayesian inference for complex genetic problems.