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 Experiment Videos

Multipoint linkage analysis using affected relative pairs and partially informative markers

J Teng1, D Siegmund

  • 1Department of Statistics, Stanford University, California 94305, USA.

Biometrics
|January 12, 1999
PubMed
Summary

Linkage analysis identifies disease-risk genes by detecting shared genomic segments (identical by descent or IBD). This study evaluates multipoint methods, optimizing marker density and informativeness for accurate IBD detection in genetic disease research.

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

Integrating eQTL and genome-wide association studies to uncover additive and dominant regulatory circuits in pig uterine capacity.

Animal : an international journal of animal bioscience·2025
Same author

Mechanisms of resveratrol in alleviating diabetic nephropathy: focus on tumor necrosis factor receptor-related factor expression and toll-like reeptor 4/nuclear factor-kappaB signaling pathway.

Journal of physiology and pharmacology : an official journal of the Polish Physiological Society·2025
Same author

Melatonin: a potential therapeutic agent for alleviating renal tubular epithelial cell interstitial transformation.

Journal of physiology and pharmacology : an official journal of the Polish Physiological Society·2024
Same author

[The non-bacterial pathogenic and clinical characteristics of acute respiratory tract infection in children in a hospital of pediatric in Sichuan Province from 2019 to 2021].

Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine]·2024
Same author

Geriatric Services Hub - A Collaborative Frailty Management Model between The Hospital and Community Providers.

The Journal of frailty & aging·2023
Same author

Comment on "Dexmedetomidine sedation for a dental extraction in a patient with known difficult airway".

Anaesthesia reports·2023

Area of Science:

  • Genetics
  • Genomic Medicine
  • Statistical Genetics

Background:

  • Linkage analysis is crucial for identifying disease-associated genes in the human genome.
  • Accurate identification of genomic regions linked to diseases relies on determining chromosomal segments inherited identically by descent (IBD).
  • Challenges in linkage analysis include limited marker loci and low allele diversity, complicating unambiguous IBD determination.

Purpose of the Study:

  • To evaluate the effectiveness of multipoint methods in linkage analysis.
  • To assess the impact of marker informativeness and density on identifying disease-associated genomic regions.
  • To develop guidelines for optimizing marker selection in genetic studies.

Main Methods:

  • Utilized multipoint methods to jointly analyze marker arrays on each chromosome.

Related Experiment Videos

  • Employed a combination of analysis and simulation for pairs of half-siblings with typed parents.
  • Developed approximations for statistical power and established methods for controlling false-positive error rates.

    • Main Results:

    • Demonstrated the effectiveness of multipoint methods in linkage analysis.
    • Quantified the influence of marker density and informativeness on the accuracy of IBD detection.
    • Provided insights into setting appropriate thresholds for controlling false-positive rates in genetic studies.

    Conclusions:

    • Multipoint methods offer a robust approach for linkage analysis, enhancing the identification of disease-related genes.
    • Optimizing marker density and informativeness is essential for improving the power and accuracy of genetic association studies.
    • The study provides practical guidelines for researchers conducting genome-wide association studies and linkage analyses.