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

On locating multiple interacting quantitative trait loci in intercross designs.

Andreas Baierl1, Małgorzata Bogdan, Florian Frommlet

  • 1Institute of Statistics and Decision Support Systems, University of Vienna, Austria. andreas.baierl@univie.ac.at

Genetics
|April 21, 2006
PubMed
Summary
This summary is machine-generated.

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

Joint likelihood-free inference of the number of selected single nucleotide polymorphisms and their selection coefficients in an evolving population.

Journal of theoretical biology·2026
Same author

Work satisfaction as a component of social sustainability on dairy farms with cow-calf contact or early separation in Austria.

Journal of dairy science·2026
Same author

Choriocapillaris Flow-Enriched Prediction of Retinal Sensitivity Using OCT-Derived Biomarkers in Intermediate Age-Related Macular Degeneration.

Journal of clinical medicine·2026
Same author

Effect of alendronate on survival and bone properties in Nothobranchius furzeri: insights from a model of accelerated aging.

Experimental gerontology·2026
Same author

Targeting P2RY2 reprograms tumor immunity and inhibits tumor growth in non-small cell lung cancer.

Cancer letters·2026
Same author

Exploring Trial Endpoints in Geographic Atrophy Based on Localized Functional Changes in Microperimetry and AI-Quantified OCT Biomarkers.

Investigative ophthalmology & visual science·2026
Same journal

Inherited long telomeres induce a genome-wide transcriptional response in budding yeast.

Genetics·2026
Same journal

Adaptive Dynamics of Quantitative Traits in a Steadily Changing Environment.

Genetics·2026
Same journal

Functional Landscape of Zebrafish Gonadotropins and Receptors: A Comprehensive Genetic Analysis.

Genetics·2026
Same journal

Synergistic actions of Nup43 and Myosin VI drive actin cone assembly during Drosophila spermiogenesis.

Genetics·2026
Same journal

Identification of two Cryptococcus neoformans heme transporters involved in Fhb1-mediated nitrosative stress protection in a fission yeast model.

Genetics·2026
Same journal

Analysis of a hypomorphic mei-P26 mutation reveals coordination between developmental programming of germ cells and meiotic chromosome dynamics.

Genetics·2026
See all related articles

This study extends the modified Bayesian Information Criterion (mBIC) for quantitative trait loci (QTL) detection in intercross designs. The enhanced method improves the power to detect epistasis, especially in complex genetic models.

Area of Science:

  • Genetics
  • Statistical Genetics
  • Bioinformatics

Background:

  • The modified Bayesian Information Criterion (mBIC) is effective for quantitative trait loci (QTL) detection in backcross designs.
  • Extending QTL detection methods to intercross designs is crucial for complex genetic analyses.

Purpose of the Study:

  • To extend the modified Bayesian Information Criterion (mBIC) for quantitative trait loci (QTL) detection to intercross designs.
  • To propose and evaluate two modifications of the mBIC to enhance epistasis detection power.

Main Methods:

  • Extension of the mBIC to intercross designs.
  • Development of a two-stage empirical Bayes procedure with adaptive penalty selection.
  • Incorporation of a modification to boost epistasis detection at loci with detected main effects.

Related Experiment Videos

  • Utilizing Haley and Knott regression for imputation of missing data and handling large intermarker distances.

    • Main Results:

    • The proposed mBIC modifications demonstrate good performance in detecting QTL and epistasis.
    • The methods are robust under various genetic models, including those with nonequidistant markers and missing data.
    • Computer simulations and real data analyses validate the effectiveness of the extended mBIC.

    Conclusions:

    • The extended mBIC provides a powerful and flexible approach for QTL detection in intercross designs.
    • The proposed modifications enhance the ability to identify complex genetic interactions, including epistasis.
    • This method offers improved accuracy for genetic mapping in diverse populations.