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

How can maximum likelihood methods reveal candidate gene effects on a quantitative trait?

M Martinez1, L Abel, F Demenais

  • 1INSERM U155, Paris, France.

Genetic Epidemiology
|January 1, 1995
PubMed
Summary

This study reveals a Mendelian gene effect on quantitative trait Q1 variability using segregation analysis. Complementary approaches suggest a complex role for the C5 gene, indicating a multi-allelic mechanism.

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 cluster-randomized trial of client and provider directed financial interventions to align incentives with appropriate case management in private medicine retailers: results of the TESTsmART Trial in Lagos, Nigeria.

medRxiv : the preprint server for health sciences·2024
Same author

A cluster-randomized trial of client and provider-directed financial interventions to align incentives with appropriate case management in retail medicine outlets: results of the TESTsmART Trial in western Kenya.

medRxiv : the preprint server for health sciences·2023
Same author

Effects of visual span on Chinese reading performance in normal peripheral vision.

Vision research·2022
Same author

Mycolactone toxin induces an inflammatory response by targeting the IL-1β pathway: Mechanistic insight into Buruli ulcer pathophysiology.

PLoS pathogens·2020
Same author

A price tag on clinical empathy? Factors influencing its cost-effectiveness.

Journal of the Royal Society of Medicine·2020
Same author

Associations of pigmentary and naevus phenotype with melanoma risk in two populations with comparable ancestry but contrasting levels of ambient sun exposure.

Journal of the European Academy of Dermatology and Venereology : JEADV·2019

Area of Science:

  • Genetics
  • Quantitative Trait Analysis
  • Statistical Genomics

Background:

  • Understanding the genetic basis of complex quantitative traits is crucial.
  • Candidate gene approaches are vital for dissecting trait variability.
  • Identifying specific genes influencing quantitative traits requires robust statistical methods.

Purpose of the Study:

  • To explore the role of candidate genes in quantitative trait Q1 variability.
  • To investigate the genetic architecture of Q1 using segregation and linkage analyses.
  • To determine the contribution of the C5 gene to Q1 variation.

Main Methods:

  • Maximum likelihood approaches for gene effect exploration.
  • Segregation analysis under a class D regressive model.

Related Experiment Videos

  • Lod-score analyses for gene mapping and linkage detection.
  • Combined segregation and linkage analysis.

    • Main Results:

    • Segregation analysis provided evidence for a Mendelian gene effect on Q1.
    • Lod-score analyses initially yielded puzzling results regarding linkage to C5.
    • Combined analysis confirmed C5-linked gene involvement but suggested a complex, multi-allelic model.

    Conclusions:

    • Complementary genetic analyses are advantageous for complex traits.
    • A single di-allelic C5-linked gene does not fully explain Q1 variability.
    • A more complex genetic mechanism, potentially involving a multi-allelic C5 gene (MG1), is implicated in Q1 variation.