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

Genetic epidemiologic analysis of quantitative phenotypes using Gibbs sampling

W J Gauderman1, J S Witte, C L Faucett

  • 1Department of Preventive Medicine, University of Southern California, Los Angeles 90033, USA.

Genetic Epidemiology
|January 1, 1995
PubMed
Summary

Researchers identified key genetic and environmental factors influencing quantitative traits (Q1, Q2). This study successfully detected major genes and associated environmental variables, improving understanding of trait determinants.

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

A disease-associated gene desert directs macrophage inflammation through ETS2.

Nature·2024
Same author

Richer than Gold: the fungal biodiversity of Reserva Los Cedros, a threatened Andean cloud forest.

Botanical studies·2023
Same author

Long-term effects of Covid-19 on the kidney.

QJM : monthly journal of the Association of Physicians·2021
Same author

Benefits of a Physician-Scientist-Tailored Curriculum at a Medical Student-Run Free Clinic.

Medical science educator·2021
Same author

Analysis of the B cell receptor repertoire in six immune-mediated diseases.

Nature·2019
Same author

Expression, purification and metal utilization of recombinant SodA from Borrelia burgdorferi.

Protein expression and purification·2019

Area of Science:

  • Genetics
  • Biostatistics
  • Quantitative Trait Analysis

Background:

  • Understanding the genetic and environmental underpinnings of quantitative traits is crucial for disease research.
  • Complex traits are influenced by multiple genes and environmental factors, posing analytical challenges.

Purpose of the Study:

  • To identify genetic and environmental determinants of two quantitative traits (Q1 and Q2).
  • To employ a multifaceted analytical approach for robust detection of trait influences.

Main Methods:

  • Linear regression was used for screening measured variables.
  • Maximum likelihood segregation and linkage analyses were performed to detect and localize unmeasured genes.
  • Gibbs sampling facilitated joint segregation and linkage analyses, incorporating gene-environment interaction and polygenic effects.

Related Experiment Videos

Main Results:

  • An unmeasured codominant major gene (MG), linked to candidate gene C2, was successfully detected for both Q1 and Q2.
  • All measured variables contributing to Q1 (age, Q3, candidate gene C5) and Q2 (EF) were identified.
  • Final models, while slightly deviating from true data generation models, effectively characterized trait determinants.

Conclusions:

  • A comprehensive analytical strategy can successfully identify major genes and environmental factors influencing quantitative traits.
  • The study highlights the importance of integrated genetic and environmental analyses in trait research.
  • The detected major gene (MG) and its linkage to C2 provide valuable insights for further investigation.