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

Combining the transmission disequilibrium test and case-control methodology using generalized logistic regression.

Nico J D Nagelkerke1, Barbara Hoebee, Peter Teunis

  • 1Computerization and Methodological Consultancy Unit, National Institute of Public Health and the Environment (RIVM), Bilthoven, The Netherlands. nico.nagelkerke@rivm.nl

European Journal of Human Genetics : EJHG
|September 2, 2004
PubMed
Summary

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

Quantifying the waning of humoral immunity.

Immunity·2025
Same author

serocalculator, an R package for estimating seroincidence from cross-sectional serological data.

medRxiv : the preprint server for health sciences·2025
Same author

Quantifying the waning of humoral immunity.

medRxiv : the preprint server for health sciences·2025
Same author

Prevalence and Risk Factors of Peripheral Artery Disease in Diabetic Patients: Insights from a Retrospective Cross-Sectional and Cohort Study in Abu Dhabi.

Vascular health and risk management·2025
Same author

Estimating the Seroincidence of Scrub Typhus using Antibody Dynamics after Infection.

The American journal of tropical medicine and hygiene·2024
Same author

Emirates Heart Health Project (EHHP): A protocol for a stepped-wedge family-cluster randomized-controlled trial of a health-coach guided diet and exercise intervention to reduce weight and cardiovascular risk in overweight and obese UAE nationals.

PloS one·2023

This study explores genetic risk factors for disease using transmission disequilibrium tests and case-control studies. Combining these methods increases statistical power to identify disease-associated alleles.

Area of Science:

  • Genetics
  • Epidemiology
  • Biostatistics

Background:

  • Genetic factors play a crucial role in disease etiology, susceptibility, and severity.
  • Established methods like transmission disequilibrium tests (TDT) and case-control studies analyze genetic associations.
  • TDT compares case genotypes to parental genotypes for allele transmission patterns.
  • Case-control studies compare case and control genotypes to identify disease-associated alleles.

Purpose of the Study:

  • To investigate the integration of transmission disequilibrium tests and case-control studies.
  • To enhance statistical power by combining information from both genetic analysis methods.
  • To discuss the statistical considerations for combining these approaches.

Main Methods:

Related Experiment Videos

  • Utilizing transmission disequilibrium tests (TDT) by comparing case genotypes to parental genotypes.
  • Employing case-control study designs to compare case and control genotypes.
  • Integrating TDT and case-control data, acknowledging their dependence due to shared cases.
  • Applying generalized logistic regression for estimating relative risks under a multiplicative model.

    • Main Results:

    • The study discusses the challenges and benefits of combining TDT and case-control analyses.
    • It highlights that while cases are shared, parental data offers independent comparisons.
    • The integration aims to improve the detection of genetic effects and risk estimation.

    Conclusions:

    • Combining transmission disequilibrium tests and case-control studies can increase statistical power for genetic association analysis.
    • This integrated approach allows for a more comprehensive evaluation of genetic risk factors.
    • Generalized logistic regression provides a framework for robust estimation of relative risks.