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

Multilocus linkage analysis of the German asthma data.

P P Zandi1, A P Klein, A M Addington

  • 1Department of Mental Hygiene, Johns Hopkins School of Hygiene and Public Health, 615 North Wolfe Street, Baltimore, MD 21205, USA.

Genetic Epidemiology
|January 17, 2002
PubMed
Summary

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

A genome-wide investigation of insidious uveitis in Appaloosa horses.

BMC genomics·2025
Same author

The age-dependent association of risk factors with pancreatic cancer.

Annals of oncology : official journal of the European Society for Medical Oncology·2022
Same author

Increased Notching of the Corpus Callosum in Fetal Alcohol Spectrum Disorder: A Callosal Misunderstanding?

AJNR. American journal of neuroradiology·2020
Same author

Salivary dysbiosis and the clinical spectrum in anti-Ro positive mothers of children with neonatal lupus.

Journal of autoimmunity·2019
Same author

Fine-mapping the MHC locus in juvenile idiopathic arthritis (JIA) reveals genetic heterogeneity corresponding to distinct adult inflammatory arthritic diseases.

Annals of the rheumatic diseases·2016
Same author

In vitro and in vivo assessment of direct effects of simulated solar and galactic cosmic radiation on human hematopoietic stem/progenitor cells.

Leukemia·2016

Researchers identified key genetic regions associated with asthma susceptibility using advanced statistical methods. Evidence points to specific chromosomes, suggesting complex gene interactions and variations contributing to the disease.

Area of Science:

  • Genetics
  • Computational Biology
  • Epidemiology

Background:

  • Asthma is a complex respiratory disease with a significant genetic component.
  • Identifying susceptibility loci is crucial for understanding disease mechanisms and developing targeted therapies.
  • Previous genetic studies have identified numerous asthma-associated regions, but the role of gene-gene interactions and locus heterogeneity remains under investigation.

Purpose of the Study:

  • To identify multiple independent and interacting genetic susceptibility loci for asthma.
  • To compare the performance of different statistical methods in detecting these loci.
  • To investigate evidence for epistasis and locus heterogeneity in asthma genetics.

Main Methods:

  • Analysis of data from the German Asthma Genetics Group.

Related Experiment Videos

  • Application of three statistical methods: conditional analysis, logistic regression, and neural networks.
  • Utilizing pedigree-specific nonparametric linkage scores to assess genetic linkage.

    • Main Results:

    • Consistent evidence for susceptibility loci on chromosomes 1, 2, 6, 9, and 15 across methods.
    • Conditional and logistic regression analyses indicated an epistatic relationship between loci on chromosomes 2 and 9.
    • Logistic regression suggested locus heterogeneity between chromosomes 6 and 15.
    • Neural network analysis identified a novel potential locus on chromosome 17.

    Conclusions:

    • Multiple genetic loci contribute to asthma susceptibility, with significant evidence for interactions and heterogeneity.
    • The applied statistical methods, while differing, converged on several key chromosomal regions.
    • Further investigation of identified loci, particularly on chromosomes 1, 2, 6, 9, 15, and 17, is warranted to elucidate asthma pathogenesis.