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

A comprehensive method for genome scans.

James D Malley1, Daniel Q Naiman, Joan E Bailey-Wilson

  • 1Center for Information Technology, NIH, Bethesda, Md., USA.

Human Heredity
|May 29, 2003
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

Addressing Disparities: A Pragmatic Comparative Effectiveness Trial of School-Based Executive Functioning Interventions.

Evidence-based practice in child and adolescent mental health·2026
Same author

Are NHANES Data Representative of the US Population for Chemicals with Seasonal and Regional Use?

Environmental health perspectives·2025
Same author

Lung Cancer in Ever- and Never-Smokers: Findings from Multi-Population GWAS Studies.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology·2024
Same author

Transmission disequilibrium analysis of whole genome data in childhood-onset systemic lupus erythematosus.

Genes and immunity·2023
Same author

CellCover Defines Marker Gene Panels Capturing Developmental Progression in Neocortical Neural Stem Cell Identity.

bioRxiv : the preprint server for biology·2023
Same author

Gene-level association analysis of bivariate ordinal traits with functional regressions.

Genetic epidemiology·2023
Same journal

Comparative profiles of pediatric Mendeliome: A Single-Centre 572-Whole-Exome Sequencing Study in Xinjiang.

Human heredity·2026
Same journal

Erratum.

Human heredity·2026
Same journal

Exploratory Analysis of HMGB1 Genetic Variants and Their Potential Association with Lung Cancer Susceptibility and Chemotherapy Response in a Chinese Population.

Human heredity·2025
Same journal

Weighted Burden Analysis of Rare Genetic Variants Identifies Novel Genes with Effects on BMI.

Human heredity·2025
Same journal

Generalized Stable Population and Agent-Based Models of Phenotypic Transmission in Human Populations, with an Application to Body Size.

Human heredity·2025
Same journal

Proteinase-activated receptor 2 (PAR-2) expression and F2RL1 genetic variants are associated with asthma: a case-control study in the Chinese population.

Human heredity·2025
See all related articles

This study introduces importance sampling to accurately correct for multiple testing in genome scans, offering a more efficient alternative to the conservative Bonferroni adjustment for genetic analyses.

Area of Science:

  • Genetics
  • Statistical Genetics
  • Bioinformatics

Background:

  • Genome scans require correction for multiple testing.
  • The Bonferroni adjustment is a common but often overly conservative method.
  • Accurate statistical methods are crucial for genetic association studies.

Purpose of the Study:

  • To present importance sampling as an accurate and efficient method for calculating exceedance probabilities.
  • To address the limitations of the Bonferroni adjustment in genome-wide association studies.
  • To provide a flexible approach applicable to various genetic test statistics.

Main Methods:

  • Utilizing importance sampling to estimate exceedance probabilities.
  • Applying the method to affected sib pair tests with numerous genetic markers.

Related Experiment Videos

  • Demonstrating calculations for arbitrary marker spacings.

    • Main Results:

    • Importance sampling provides accurate and efficient exceedance probabilities.
    • The method is adaptable for different genetic test statistics and marker configurations.
    • Comparison with large deviation methods highlights advantages in handling unequal marker spacing.

    Conclusions:

    • Importance sampling offers a superior alternative to the Bonferroni adjustment for multiple testing in genome scans.
    • This technique enhances the precision and efficiency of genetic data analysis.
    • The method's flexibility supports broader applications in statistical genetics.