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

An expectation-maximization-likelihood-ratio test for handling missing data: application in experimental crosses.

Tianhua Niu1, Adam A Ding, Reinhold Kreutz

  • 1Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02215, USA. tniu@rics.bwh.harvard.edu

Genetics
|February 26, 2005
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

Beyond Awareness and Diagnosis: From Knowledge to Action for Blood Pressure Control in Coronary Artery Disease.

European journal of preventive cardiology·2026
Same author

Long-term intake of statins or renin-angiotensin system inhibitors: associations with sarcopenia-related parameters in older people.

GeroScience·2026
Same author

Anthelmintic medication with focus on first-trimester exposure: an evaluation of pregnancy outcomes based on the Embryotox cohort.

Scientific reports·2026
Same author

Long-term follow-up after successful multi-stage intravascular repair of acute aortic dissection associated with cocaine exposure.

Polish archives of internal medicine·2026
Same author

Discrepancies in office blood pressure measurement protocols across international guidelines: "Houston, we've got a problem."

Journal of hypertension·2026
Same author

Hypertension in autoimmune rheumatic diseases: a position paper from the European Society of Hypertension working group on small arteries. Part A: pathophysiology, prevalence and cardiovascular risk estimation.

Journal of hypertension·2026

This study introduces an expectation-maximization (EM)-likelihood-ratio test (LRT) for quantitative trait loci (QTL) mapping. The EM-LRT improves statistical power by effectively handling missing data, outperforming traditional methods.

Area of Science:

  • Genetics
  • Statistical genetics
  • Bioinformatics

Background:

  • Missing data are prevalent in quantitative trait loci (QTL) mapping studies.
  • Ignoring missing data can lead to biased genotypic effect estimates and incorrect inferences.
  • Accurate QTL mapping is crucial for animal and human genetic studies.

Purpose of the Study:

  • To develop and evaluate a statistical method for QTL mapping that effectively addresses missing genotypic data.
  • To compare the performance of the proposed method against traditional approaches in the presence of missing data.

Main Methods:

  • Development of an expectation-maximization (EM)-likelihood-ratio test (LRT) for QTL analysis.
  • Simulation studies using phylogenetic models to assess statistical power.

Related Experiment Videos

  • Application of the EM-LRT and analysis-of-variance (ANOVA)-based test to a real mouse genetic dataset.

    • Main Results:

    • The EM-LRT demonstrated greater statistical power compared to the ANOVA-based test, particularly when missing data were abundant.
    • The EM-LRT optimally utilizes available data, offering advantages over methods that discard incomplete observations.
    • Real data analysis confirmed the superior performance of the EM-LRT in F2 intercross studies.

    Conclusions:

    • The EM-LRT is a robust statistical technique for QTL mapping in the presence of missing data.
    • This method enhances the accuracy and power of genetic analyses in experimental crosses.
    • The EM-LRT has significant implications for advancing QTL mapping in diverse genetic studies.