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 general conditional-logistic model for affected-relative-pair linkage studies.

J M Olson1

  • 1Department of Epidemiology and Biostatistics, Rammelkamp Center for Education and Research, MetroHealth Campus, Case Western Reserve University, Cleveland, OH 44109, USA. olson@darwin.cwru.edu.

American Journal of Human Genetics
|December 1, 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

MRI Features of Histologically Diagnosed Supratentorial Primitive Neuroectodermal Tumors and Pineoblastomas in Correlation with Molecular Diagnoses and Outcomes: A Report from the Children's Oncology Group ACNS0332 Trial.

AJNR. American journal of neuroradiology·2019
Same author

Cross-species epigenetics identifies a critical role for VAV1 in SHH subgroup medulloblastoma maintenance.

Oncogene·2014
Same author

The effects of obesity classification method on select kinematic gait variables in adult females.

The Journal of sports medicine and physical fitness·2014
Same author

Photosynthesis 3.5 thousand million years ago.

Photosynthesis research·2014
Same author

Circular dichroism of green bacterial chlorosomes.

Photosynthesis research·2014
Same author

Fluorescence lifetimes of dimers and higher oligomers of bacteriochlorophyll c from Chlorobium limicola.

Photosynthesis research·2014
Same journal

Bi-allelic missense variants in human GPN2 result in Perrault syndrome.

American journal of human genetics·2026
Same journal

Integrative analysis of gastric tissue transcriptomes and gastric cancer GWAS implicates candidate susceptibility genes.

American journal of human genetics·2026
Same journal

A transparent and generalizable deep-learning framework for genomic ancestry prediction.

American journal of human genetics·2026
Same journal

Data-driven RNA phenotyping captures genetically regulated dimensions of the transcriptome.

American journal of human genetics·2026
Same journal

Linkage disequilibrium and allelic heterogeneity explain variation in coronary artery disease risk at 9p21 across populations and reduced effect in Africans.

American journal of human genetics·2026
Same journal

Genome-wide association study and predictors of neonatal blood cell traits in Hispanic newborns.

American journal of human genetics·2026
See all related articles

This study introduces a unified statistical framework for genetic linkage analysis in common diseases. The new conditional-logistic model efficiently integrates various family structures and covariates for improved disease-gene detection.

Area of Science:

  • Statistical genetics
  • Genetic epidemiology
  • Computational biology

Background:

  • Model-free LOD-score methods are standard for detecting linkage between marker loci and common diseases using affected sib pairs.
  • Existing extensions to basic models handle specific features (e.g., covariates, additional loci) but lack a unified framework.

Purpose of the Study:

  • To propose a generalized statistical framework for genetic linkage analysis.
  • To develop a unified model accommodating diverse family structures and covariates.

Main Methods:

  • Conditional-logistic parameterization is proposed as a flexible statistical approach.
  • The model is designed to integrate affected relative pairs, discordant relative pairs, covariates, and multiple disease loci.

Related Experiment Videos

Main Results:

  • The proposed conditional-logistic parameterization offers a unified approach to genetic linkage analysis.
  • Demonstrated applicability using simulated data and a real-world example of type 1 diabetes.

Conclusions:

  • The developed framework provides a versatile tool for genetic linkage studies.
  • Facilitates more comprehensive analysis by integrating multiple features into a single model.