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

Statistically robust approaches for sib-pair linkage analysis

J Wang1, R Guerra, J Cohen

  • 1Center for Human Nutrition, University of Texas, Southwestern Medical Center at Dallas 75235-9052, USA. wang@crcdec.swmed.edu

Annals of Human Genetics
|January 30, 1999
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

AIDS vaccines: is older better?

Science (New York, N.Y.)·1992
Same author

AIDS vaccines. Trials set in high-risk populations.

Science (New York, N.Y.)·1992
Same author

Dingell rips Healy for 'obstructionism'.

Science (New York, N.Y.)·1992
Same author

Meningococcal septicaemia in a C6-deficient patient and effects of plasma transfusion on lipopolysaccharide release.

Lancet (London, England)·1992
Same author

Pediatric AIDS vaccine trials set.

Science (New York, N.Y.)·1992
Same author

A comparative study of imipenem versus piperacillin plus gentamicin in the initial management of febrile neutropenic patients with haematological malignancies.

The Journal of antimicrobial chemotherapy·1992

A new robust regression method improves linkage detection for quantitative traits using sibling pairs. This approach enhances accuracy by mitigating outlier effects, outperforming standard t-tests and rank-based methods.

Area of Science:

  • Genetics
  • Statistical genetics
  • Quantitative trait analysis

Background:

  • Quantitative traits, like height, show continuous variation due to multiple genes.
  • The Haseman & Elston (HE) method uses sib-pairs to detect linkage to quantitative trait loci.
  • Standard t-tests in the HE method are sensitive to outliers, potentially causing inaccurate linkage results.

Purpose of the Study:

  • To develop and evaluate a statistically robust procedure for the HE linkage analysis method.
  • To improve the accuracy of linkage detection for quantitative traits.

Main Methods:

  • Developed a robust regression procedure for the HE approach.
  • Evaluated the new method using simulation studies.
  • Compared the robust procedure against the standard t-test and rank-based approaches.

Related Experiment Videos

  • Reanalyzed real data from two lipoprotein systems.

    • Main Results:

    • The robust procedure demonstrated greater power than the standard t-test in the presence of outliers.
    • The robust procedure showed similar power to the standard t-test when outliers were absent.
    • The robust procedure outperformed rank-based approaches in both outlier and no-outlier scenarios.

    Conclusions:

    • A robust regression-based HE method offers improved power and accuracy for linkage analysis of quantitative traits.
    • This statistically robust approach is valuable for genetic studies dealing with potential data outliers.