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

Using multivariate genetic modeling to detect pleiotropic quantitative trait loci

D I Boomsma1

  • 1Department of psychonomics, Vrije Universiteit, Amsterdam, The Netherlands. dorret@psy.vu.nl.

Behavior Genetics
|March 1, 1996
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

Insights from a methylome-wide association study of antidepressant exposure.

Nature communications·2025
Same author

Male microchimerism in females: a quantitative study of twin pedigrees to investigate mechanisms.

Human reproduction (Oxford, England)·2021
Same author

The trans-ancestral genomic architecture of glycemic traits.

Nature genetics·2021
Same author

Ketone body 3-hydroxybutyrate as a biomarker of aggression.

Scientific reports·2021
Same author

Multilevel Twin Models: Geographical Region as a Third Level Variable.

Behavior genetics·2021
Same author

[Psychopathology, risk factors and possible interventions in the early years: Dutch cohort research].

Tijdschrift voor psychiatrie·2021
Same journal

Was the Minnesota Transracial Adoption Study Abhorrent or Just Controversial?

Behavior genetics·2026
Same journal

Direct and Indirect Genetic Effects on Child ADHD Traits in Early and Mid-Childhood: Trio Genome-Wide Complex Trait Analyses in a Large Norwegian Birth Registry Cohort.

Behavior genetics·2026
Same journal

Behavioral Disinhibition Model of Addiction: A Review and New Findings from the Minnesota Twin Family Study.

Behavior genetics·2026
Same journal

Tracing the Right Path: Determination of Large Pedigree Segmentation and Relatedness.

Behavior genetics·2026
Same journal

Genetic and Environmental Associations Between Processing Speed and Executive Functions Across Adolescence and Established Adulthood.

Behavior genetics·2026
Same journal

Heritability of Functional Literacy: Evidence from a Classical Twin Design.

Behavior genetics·2026
See all related articles

Detecting quantitative trait loci (QTLs) is more powerful using estimated genotypic values instead of phenotypic observations. This method enhances linkage analysis, particularly for low-variance QTLs.

Area of Science:

  • Genetics
  • Statistical Genetics
  • Bioinformatics

Background:

  • Detecting linkage between quantitative trait loci (QTLs) and markers requires large sample sizes, especially for low-variance QTLs.
  • Environmental variance can obscure the genetic signal, reducing the power of linkage analysis.

Purpose of the Study:

  • To investigate a strategy for increasing the power to detect linkage for quantitative trait loci (QTLs).
  • To evaluate the effectiveness of using estimated individual genotypic values at a QTL in linkage analysis.

Main Methods:

  • Simulation studies were conducted using multivariate observations to estimate individual genotypic values at a pleiotropic QTL.
  • Linkage analysis was performed comparing the use of estimated genotypic values versus phenotypic observations.

Related Experiment Videos

Main Results:

  • The power to detect the QTL significantly increased when using estimated individual genotypic values compared to phenotypic observations.
  • This improvement was observed across different QTL allele frequencies with a completely informative marker.

Conclusions:

  • Estimating individual genotypic values at a QTL provides a more powerful approach for linkage detection than using phenotypic data.
  • This method offers an advantage by enabling selection of individuals with extreme genotypes for family ascertainment.