Jove
Visualize
Contact Us

Related Experiment Videos

Quantitative trait locus mapping using human pedigrees.

J Blangero1, J T Williams, L Almasy

  • 1Department of Genetics, Southwest Foundation for Biomedical Research, San Antonio, TX 78245-0549, USA.

Human Biology
|March 18, 2000
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

Pathways and Roadblocks: Navigating Family-Building for Sexual and Gender Minority People Assigned Male at Birth.

Perspectives on sexual and reproductive health·2026
Same author

Differential gene expression study in whole blood identifies candidate genes for psychosis in African American individuals.

Schizophrenia research·2025
Same author

Engaging Sexual and Gender Minority (SGM) Communities for Health Research: Building and Sustaining PRIDEnet.

Journal of community engagement and scholarship·2024
Same author

Publisher Correction: Brain charts for the human lifespan.

Nature·2022
Same author

Brain charts for the human lifespan.

Nature·2022
Same author

Genetic differentiation between baboon subspecies: Relevance for biomedical research.

American journal of primatology·2020
Same journal

Analysis of Posttraumatic Stress Disorder Gene Expression Profiles in a Prospective, Community-Based Cohort.

Human biology·2024
Same journal

Fine-Scale Genetic Profile and Admixture History of Two Hmong-Mien-Speaking Miao Tribes from Southwest China Inferred from Genome-Wide Data.

Human biology·2023
Same journal

A Distinctive Pattern of Diversity for the <i>TAS2R38</i> Gene in North Africa.

Human biology·2023
Same journal

Genotype Frequency of the Common TLR4 SNPs in a Kurdish Population: Global Reviews and Out-of-African Migrations.

Human biology·2023
Same journal

Juvenile Body Mass Estimation from the Femur Using Postmortem Computed Tomography Data.

Human biology·2023
Same journal

Navigating Identity: The Intersection of Social and Biological Identity from the World War II Battle of Tarawa.

Human biology·2023
See all related articles
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

Statistical genetic methods have advanced significantly for mapping quantitative trait loci (QTLs). This review details a variance component framework for QTL localization and effect size estimation in human quantitative genetics.

Area of Science:

  • Genetics
  • Statistical Genetics
  • Human Genetics

Background:

  • Phenomenal progress in molecular and statistical genetics over the past decade.
  • Anticipation of a long period of active genetic research for mapping human quantitative trait variability.

Purpose of the Study:

  • Review the current state of statistical genetic methods for quantitative trait linkage analysis.
  • Detail a variance component-based framework for quantitative trait loci (QTL) localization and effect size estimation.

Main Methods:

  • Variance component-based statistical framework.
  • Optimal design of human family studies for gene localization.
  • Methods for assessing genotype x environment interaction and epistasis.

Related Experiment Videos

Main Results:

  • Provides a framework for accurate QTL localization.
  • Enables precise estimation of relative effect sizes for identified genes.
  • Addresses key complexities in quantitative trait variation.

Conclusions:

  • The described methods facilitate accurate mapping and evaluation of genes influencing human quantitative variability.
  • Optimal study designs are crucial for detecting genes with small to moderate effects.
  • Strategies for handling genotype-environment interactions and epistasis are essential in quantitative genetics research.