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

Two-locus models of disease.

R J Neuman1, J P Rice

  • 1Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri 63110.

Genetic Epidemiology
|January 1, 1992
PubMed
Summary

Complex diseases often defy simple genetic models. This study explores oligogenic (few-gene) models, finding limited genetic parameter ranges fit observed disease risks, suggesting complex inheritance patterns.

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

Generalized Electrical Substitution Methods and Detectors for Absolute Optical Power Measurements.

Metrologia·2023
Same author

Development of electrical substitution Fourier transform spectrometry for absolute optical power measurements.

Optics express·2021
Same author

Genome-wide association study identifies a novel locus for cannabis dependence.

Molecular psychiatry·2017
Same author

Largest GWAS of PTSD (N=20 070) yields genetic overlap with schizophrenia and sex differences in heritability.

Molecular psychiatry·2017
Same author

Genetic effects influencing risk for major depressive disorder in China and Europe.

Translational psychiatry·2017
Same author

Spectrally Tunable Sources for Advanced Radiometric Applications.

Journal of research of the National Institute of Standards and Technology·2016

Area of Science:

  • Genetics
  • Medical Genetics
  • Disease Modeling

Background:

  • Complex diseases challenge traditional single-locus and multifactorial genetic models.
  • Oligogenic models, involving a small number of genes, offer an alternative framework for genetic analysis.

Purpose of the Study:

  • To investigate nine two-locus genetic models (epistatic and heterogeneous) for complex diseases.
  • To derive formulas for recurrence risks and components of variance.
  • To determine the range of genetic parameters compatible with population prevalence and familial risks.

Main Methods:

  • Derived recurrence risk formulas based on penetrances and gene frequencies for various relatives.
  • Developed formulas for components of variance for epistatic models.
  • Calculated penetrance and gene frequency ranges for specific population prevalence and sibling recurrence risks.
  • Applied estimated disease parameters for bipolar disorder and schizophrenia to test model compatibility.

Main Results:

  • Formulas for recurrence risks and variance components were derived for nine two-locus models.
  • A very limited range of penetrances often fits specific assumed disease risks.
  • Compatibility testing using bipolar disorder and schizophrenia data revealed constraints on model applicability.

Conclusions:

  • Oligogenic models provide a framework for understanding complex disease genetics.
  • The study highlights the narrow genetic parameter spaces that can explain observed disease recurrence.
  • Findings suggest limitations in applying simple oligogenic models to certain complex diseases like bipolar disorder and schizophrenia.

Related Experiment Videos