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 analysis workshop 9: development of problem 1

S E Hodge1

  • 1Columbia University and New York State Psychiatric Institute, NY 10032, USA.

Genetic Epidemiology
|January 1, 1995
PubMed
Summary

This study explored an oligogenic model for disease susceptibility. It found that while some disease loci were detectable through association analysis, others remained virtually undetectable in the dataset.

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

The "Circular" Problems of Calculating Risk: Dealing with Consanguinity.

Journal of genetic counseling·2015
Same author

A Simple, Unified Approach to Bayesian Risk Calculations.

Journal of genetic counseling·2015
Same author

Letters to the editor.

Journal of genetic counseling·2013
Same author

Measurement of statistical evidence on an absolute scale following thermodynamic principles.

Theory in biosciences = Theorie in den Biowissenschaften·2013
Same author

Panic disorder is associated with the serotonin transporter gene (SLC6A4) but not the promoter region (5-HTTLPR).

Molecular psychiatry·2008
Same author

The quantitative genetic basis of polyandry in the parasitoid wasp, Nasonia vitripennis.

Heredity·2006

Area of Science:

  • Genetics
  • Statistical Genetics
  • Disease Modeling

Background:

  • Oligogenic models involve a small number of genes influencing a trait.
  • Understanding disease susceptibility loci is crucial for genetic research.
  • Association analysis and linkage disequilibrium are key methods in genetic studies.

Purpose of the Study:

  • To evaluate the detectability of different disease susceptibility loci within an oligogenic model.
  • To assess the effectiveness of association analysis for identifying disease-related genetic variations.
  • To investigate the impact of locus location relative to markers on detectability.

Main Methods:

  • Utilized an oligogenic model with four disease susceptibility loci.
  • Simulated genetic data from 200 affected nuclear families and 100 control families.
  • Incorporated loci with varying relationships to marker loci (identical vs. between markers).
  • Employed association analysis to detect disease-marker associations.

Main Results:

  • Two disease susceptibility loci, identical to marker loci, showed weak but detectable associations.
  • Two other loci, located between marker loci without linkage disequilibrium, were virtually undetectable.
  • The study highlights challenges in detecting all disease-related loci using standard methods.

Conclusions:

  • The detectability of disease susceptibility loci is influenced by their genetic architecture and relationship to markers.
  • Association analysis may fail to identify loci not in linkage disequilibrium with available markers.
  • Further methodological development is needed for comprehensive genetic risk factor identification.

Related Experiment Videos