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

Robust LOD scores for variance component-based linkage analysis.

J Blangero1, J T Williams, L Almasy

  • 1Department of Genetics, Southwest Foundation for Biomedical Research, San Antonio, Texas 78245-0549, USA. john@darwin.sfbr.org

Genetic Epidemiology
|October 31, 2000
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

Pathways and Roadblocks: Navigating Family-Building for Sexual and Gender Minority People Assigned Male at Birth.

Perspectives on sexual and reproductive health·2026
Same author

Differential gene expression study in whole blood identifies candidate genes for psychosis in African American individuals.

Schizophrenia research·2025
Same author

Engaging Sexual and Gender Minority (SGM) Communities for Health Research: Building and Sustaining PRIDEnet.

Journal of community engagement and scholarship·2024
Same author

Publisher Correction: Brain charts for the human lifespan.

Nature·2022
Same author

Brain charts for the human lifespan.

Nature·2022
Same author

Genetic differentiation between baboon subspecies: Relevance for biomedical research.

American journal of primatology·2020
Same journal

Applying Bayesian Multivariable Mendelian Randomisation to Prioritise Candidate Causal Traits From High-Dimensional Data: Illustration From Estimation of the Effect of Maternal Metabolites on Offspring Birthweight.

Genetic epidemiology·2026
Same journal

Individualized Bayesian Inference Identifies Novel Genetic Variants for Parkinson's Disease.

Genetic epidemiology·2026
Same journal

DRIVE v3: Command Line Application for Identity-by-Descent Haplotype Clustering in Large Biobank Scale Data.

Genetic epidemiology·2026
Same journal

Deep Unsupervised Domain Adaptation for Translating Cancer Dependency Maps From Cell Lines to Breast Cancer Tumor Genomics.

Genetic epidemiology·2026
Same journal

Polygenic Risk Scores for Incident Dementia in the Multi-Ethnic Study of Atherosclerosis.

Genetic epidemiology·2026
Same journal

Outcome and Exposure Polygenic Risk Scores Can Help Reduce Information Bias and Selection Bias in Regression Estimates From Biobank Data.

Genetic epidemiology·2026
See all related articles

The variance component method for quantitative trait linkage analysis can produce inflated Type I errors with non-normal trait distributions. A simple correction constant for kurtosis and heritability ensures a robust lod score, eliminating errors from model misspecification.

Area of Science:

  • Quantitative genetics
  • Statistical genetics
  • Bioinformatics

Background:

  • The variance component method is standard for quantitative trait linkage analysis.
  • Multivariate normality assumption for trait distribution within pedigrees is critical but understudied.
  • Leptokurtic trait distributions can lead to excessive Type I errors in naive linkage analysis.

Purpose of the Study:

  • To investigate the impact of non-normality on variance component linkage analysis.
  • To derive analytical formulae for lod score deviation based on trait kurtosis and heritability.
  • To develop a robust lod score correction for non-normal trait distributions.

Main Methods:

  • Derivation of analytical formulae connecting lod score distribution deviation to kurtosis and heritability.

Related Experiment Videos

  • Development of a correction constant for the lod score.
  • Evaluation of the correction's effectiveness across various pedigree structures and deviations from normality.
  • Main Results:

    • Analytical formulae quantify the relationship between trait kurtosis, heritability, and lod score asymptotic distribution deviation.
    • A simple correction constant effectively adjusts the lod score for non-normality.
    • The corrected lod score eliminates inflated Type I errors caused by misspecified probability models.

    Conclusions:

    • The assumption of multivariate normality is crucial for accurate variance component linkage analysis.
    • A robust lod score correction method can be applied to mitigate Type I errors arising from non-normal trait distributions.
    • This correction enhances the reliability of linkage analysis for quantitative traits with diverse distributional properties.