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

Contemporary model-free methods for linkage analysis.

Laura Almasy1, John Blangero

  • 1Department of Genetics, Southwest Foundation for Biomedical Research, San Antonio, TX 78245, USA.

Advances in Genetics
|March 25, 2008
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

Rare variants in long non-coding RNAs are associated with blood lipid levels in the TOPMed whole-genome sequencing study.

American journal of human genetics·2023
Same author

Genotype-by-socioeconomic status interaction influences heart disease risk scores and carotid artery thickness in Mexican Americans: the predominant role of education in comparison to household income and socioeconomic index.

Frontiers in genetics·2023
Same author

WHOLE GENOME SEQUENCING ANALYSIS OF BODY MASS INDEX IDENTIFIES NOVEL AFRICAN ANCESTRY-SPECIFIC RISK ALLELE.

medRxiv : the preprint server for health sciences·2023
Same author

Rare damaging <i>CCR2</i> variants are associated with lower lifetime cardiovascular risk.

medRxiv : the preprint server for health sciences·2023
Same author

Rare variants in long non-coding RNAs are associated with blood lipid levels in the TOPMed Whole Genome Sequencing Study.

medRxiv : the preprint server for health sciences·2023
Same author

Whole genome analysis of plasma fibrinogen reveals population-differentiated genetic regulators with putative liver roles.

medRxiv : the preprint server for health sciences·2023
Same journal

Shaping mammalian genomes: The regulation and co-option of transposable elements in early development and gametogenesis.

Advances in genetics·2026
Same journal

Transposable elements in aging: From biomarkers to effectors.

Advances in genetics·2026
Same journal

Transposable elements in human cancer: Regulation, activation, and genomic consequences.

Advances in genetics·2026
Same journal

Retrotransposons as both "architects" and "saboteurs" in the nervous system.

Advances in genetics·2026
Same journal

Transposable element analysis in OMICS data.

Advances in genetics·2026
Same journal

The implication of lncRNAs in the regulation of inflammation.

Advances in genetics·2026
See all related articles

Model-free linkage analysis identifies genomic regions by correlating allele sharing with trait correlation in families. These methods, including relative pair and variance component approaches, are crucial for locating genes influencing complex human traits.

Area of Science:

  • Genetics
  • Biostatistics
  • Human Phenotypes

Background:

  • Genetic linkage analysis is key to understanding complex human phenotypes.
  • Identifying specific genes requires robust analytical methods.
  • Model-free approaches offer alternatives to model-dependent methods.

Purpose of the Study:

  • To discuss model-free linkage methods for gene localization.
  • To describe two primary classes of model-free methods: relative pair and variance component.
  • To highlight the continued relevance of these methods in the 21st century.

Main Methods:

  • Model-free linkage methods analyze allele sharing patterns within families.
  • Relative pair methods are suited for discrete trait analysis.
  • Variance component methods are designed for quantitative trait analysis.

Related Experiment Videos

Main Results:

  • These methods have successfully identified numerous genes linked to complex human phenotypes.
  • Model-free linkage approaches demonstrate effectiveness in gene localization.
  • The discussed methods remain valuable tools for genetic research.

Conclusions:

  • Model-free linkage methods provide powerful tools for genetic mapping.
  • Both relative pair and variance component methods contribute to understanding trait heritability.
  • These techniques continue to be vital for discovering genes underlying human traits.