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

Two-level Haseman-Elston regression for general pedigree data analysis.

Tao Wang1, Robert C Elston

  • 1Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, Ohio 44106, USA.

Genetic Epidemiology
|April 20, 2005
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

Novel breast cancer susceptibility loci under linkage peaks identified in African ancestry consortia.

Human molecular genetics·2024
Same author

Correction to: Patient Biochemistry and Treatment Need in Chronic Hepatitis B Virus Infection Across Three Continents: Retrospective Cross-Sectional Cohort Studies.

Infectious diseases and therapy·2023
Same author

Patient Biochemistry and Treatment Need in Chronic Hepatitis B Virus Infection Across Three Continents: Retrospective Cross-Sectional Cohort Studies.

Infectious diseases and therapy·2023
Same author

Familial Segregation of Venous Thromboembolism in Sweden: A Nationwide Family Study of Heritability and Complex Segregation Analysis.

Journal of the American Heart Association·2021
Same author

Newton E. Morton (1929-2018).

American journal of human genetics·2020
Same author

Local Ancestry Inference in Large Pedigrees.

Scientific reports·2020
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

A new two-level Haseman-Elston (tHE) regression model enhances genetic linkage studies for quantitative traits. This advanced method efficiently analyzes complex genetic data within general pedigrees, improving quantitative trait locus (QTL) detection.

Area of Science:

  • Genetics
  • Biostatistics
  • Quantitative Trait Analysis

Background:

  • The Haseman-Elston (HE) method is a standard in genetic linkage studies for quantitative traits.
  • Existing HE models have limitations in analyzing complex family data structures and incorporating diverse genetic information.

Purpose of the Study:

  • To introduce a novel two-level Haseman-Elston (tHE) regression model.
  • To enhance the analysis of genetic linkage for quantitative traits using complex pedigree data.

Main Methods:

  • Developed a two-level HE regression model (tHE) within a multiple-level regression framework.
  • Employed an iterative generalized least squares (IGLS) algorithm to manage varying variance-covariance structures across families.
  • Integrated individual and pedigree-level covariates, marker genotypes for linkage (alleles shared identically by descent [IBD]), and marker alleles for association.

Related Experiment Videos

Main Results:

  • The tHE model effectively utilizes all available trait information in general pedigrees.
  • It allows simultaneous incorporation of various genetic and covariate data types.
  • Under normality, the tHE method is asymptotically equivalent to variance component models for linkage detection.
  • A robust estimator for quantitative trait locus (QTL) variance is available for non-normal data.

Conclusions:

  • The tHE model offers a flexible and powerful approach for genetic linkage and association studies.
  • It can model complex genetic mechanisms like gene-gene and gene-environmental interactions, and imprinting.
  • This enhanced HE regression model improves the analysis of quantitative traits in diverse genetic architectures.