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

Affected kin-pair IBD methods: genetic models.

U Motro1, G Thomson

  • 1Department of Integrative Biology, University of California, Berkeley 94720.

Genetic Epidemiology
|January 1, 1991
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

The impacts of Covid-19 on perinatal mental health - Part 2.

The practising midwife·2024
Same author

The impacts of Covid-19 on perinatal mental health - Part 1.

The practising midwife·2024
Same author

Differential lifespan impacts on veterans by war exposure in the First World War.

BMJ military health·2022
Same author

Delivering medicine in a cold weather environment.

BMJ military health·2022
Same author

Impact of war on veteran life span: natural experiment involving combat versus non-combat exposed military personnel.

BMJ military health·2021
Same author

'Never waste a crisis': a commentary on the COVID-19 pandemic as a driver for innovation in maternity care.

BJOG : an international journal of obstetrics and gynaecology·2021
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

Affected sib-pair analysis for disease-predisposing genes uses goodness-of-fit tests. Simulations show the chi-square test maintains significance levels even with small expected haplotype sharing, supporting its use in genetic studies.

Area of Science:

  • Genetics
  • Statistical genetics
  • Bioinformatics

Background:

  • Affected sib-pair (ASP) methods are crucial for identifying disease-predisposing genes.
  • Distinguishing inheritance modes (recessive vs. dominant) relies on goodness-of-fit tests.
  • Small expected counts in "share-zero parental haplotypes" and unknown allele frequencies pose analytical challenges.

Purpose of the Study:

  • To evaluate the performance of chi-square goodness-of-fit tests in ASP analysis.
  • To assess the validity of these tests when dealing with small expected frequencies and estimated parameters.
  • To determine the impact of including non-sib affected kin pairs on test power.

Main Methods:

  • Simulations were conducted to assess the chi-square test's significance level.

Related Experiment Videos

  • Analysis focused on identity-by-descent (IBD) values for haplotype sharing (2, 1, and 0).
  • The study considered scenarios with estimated allele frequencies and small "share-zero" categories.
  • Main Results:

    • The chi-square test's real significance level remained close to the nominal 0.05 level.
    • Haplotype-sharing classes did not require lumping, preserving degrees of freedom.
    • Including non-sib kin pairs reduced the power of chi-square goodness-of-fit tests for inheritance modes.

    Conclusions:

    • The chi-square test is robust for ASP analysis, even with small expected haplotype sharing.
    • The test remains valid despite small expected frequencies and estimated parameters in genetic linkage studies.
    • Non-sib kin pairs, while useful for linkage detection, diminish the power of mode-of-inheritance tests.