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

The covariance between relatives conditional on genetic markers.

Yuefu Liu1, Gerald B Jansen, Ching Y Lin

  • 1Department of Animal and Poultry Science, University of Guelph, Guelph, ON N1G 2W1, Canada. yuefuliu@uoguelph.ca

Genetics, Selection, Evolution : GSE
|December 18, 2002
PubMed
Summary
This summary is machine-generated.

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

Phytostabilization of arsenic, copper and iron by <i>Sphagneticola trilobata</i> (L.) Pruski in contaminated tungsten mine tailings.

PeerJ·2026
Same author

Improved computation of genomic and pedigree inbreeding and relationships accounting for the X chromosome.

Journal of dairy science·2025
Same author

Protonation state of F420H2 in the prodrug-activating deazaflavin dependent nitroreductase (Ddn) from Mycobacterium tuberculosis.

Molecular bioSystems·2016
Same author

Entropy-Driven Selectivity for Chain Scission: Where Macromolecules Cleave.

Angewandte Chemie (International ed. in English)·2015
Same author

Power of QTL detection by either fixed or random models in half-sib designs.

Genetics, selection, evolution : GSE·2005
Same author

A simulation study on the accuracy of position and effect estimates of linked QTL and their asymptotic standard deviations using multiple interval mapping in an F(2) scheme.

Genetics, selection, evolution : GSE·2004

This study introduces a new algorithm to improve genetic covariance estimation between relatives using molecular marker data. This method enhances accuracy by considering quantitative trait loci (QTL) and linked markers.

Area of Science:

  • Quantitative genetics
  • Molecular genetics
  • Statistical genetics

Background:

  • Molecular genotyping enables quantitative trait analysis at individual loci.
  • Marker information can refine classical genetic covariance estimation between relatives.

Purpose of the Study:

  • To develop an algorithm for computing conditional covariance between relatives given genetic markers.
  • To establish procedures for calculating conditional relationship coefficients for various genetic effects.
  • To demonstrate the method's applicability with linked markers and quantitative trait loci (QTL).

Main Methods:

  • Derived an algorithm for conditional covariance calculation based on marker data.
  • Developed procedures for conditional relationship coefficients (additive, dominance, etc.).

Related Experiment Videos

  • Inferred conditional QTL allelic transmission probabilities from marker data.

    • Main Results:

    • Successfully computed conditional relationship coefficients using marker-inferred transmission probabilities.
    • Demonstrated the method with an example dataset featuring pedigree and linked markers.
    • Showcased the principle's extensibility to multiple QTL and discussed handling missing marker data.

    Conclusions:

    • The developed algorithm improves the accuracy of estimating genetic covariance between relatives.
    • The method is adaptable for complex genetic analyses involving multiple QTL and linked markers.
    • The approach provides a robust framework for utilizing molecular marker data in genetic studies.