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

Mapping of complex traits by single-nucleotide polymorphisms

L P Zhao1, C Aragaki, L Hsu

  • 1Quantitative Genetic Epidemiology Group, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA. lzhao@fhcrc.org

American Journal of Human Genetics
|June 23, 1998
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

Measurement of correlated charge noise in superconducting qubits at an underground facility.

Nature communications·2025
Same author

Broadband optical modulation and control at millikelvin temperatures.

The Review of scientific instruments·2025
Same author

[Potential of new self-crosslinked hyaluronic acid gel on the recovery of endometrium after artificial abortion: a multicenter, prospective randomized controlled trial].

Zhonghua fu chan ke za zhi·2024
Same author

Genome-wide association studies and Mendelian randomization analyses provide insights into the causes of early-onset colorectal cancer.

Annals of oncology : official journal of the European Society for Medical Oncology·2024
Same author

First Measurement of the Nuclear-Recoil Ionization Yield in Silicon at 100 eV.

Physical review letters·2023
Same author

Breakthrough infections with the SARS-CoV-2 Delta variant: vaccinations halved transmission risk.

Public health·2022
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

Researchers developed a new method combining linkage and linkage-disequilibrium analysis for single-nucleotide polymorphisms (SNPs). This approach improves the accuracy of mapping complex traits by reducing false positives and enhancing signal detection for disease-associated genes.

Area of Science:

  • Genetics
  • Bioinformatics
  • Computational Biology

Background:

  • The third-generation human genome map utilizes single-nucleotide polymorphisms (SNPs) for genetic analysis.
  • SNPs are crucial markers for identifying loci associated with complex traits through linkage and linkage-disequilibrium (LD) analyses.

Purpose of the Study:

  • To introduce a novel semiparametric method for combined linkage and LD analysis using SNP markers.
  • To evaluate the performance of this combined method in mapping complex traits.

Main Methods:

  • Development of a semiparametric statistical model for integrated linkage and LD analysis.
  • Asymptotic analysis to derive properties of estimated parameters.
  • Simulation studies to assess finite-sample performance and a simulated genome-scan experiment.

Related Experiment Videos

Main Results:

  • Separate linkage and LD analyses identified major genes for a complex trait but exhibited high false-positive rates.
  • The combined linkage and LD analysis provided stronger and clearer signals for the identified major genes.
  • The integrated method demonstrated improved accuracy in detecting genetic loci for complex traits.

Conclusions:

  • Combined linkage and LD analysis using SNPs offers a more powerful approach for mapping complex genetic traits.
  • This method enhances the reliability of genetic association studies by reducing false positives.
  • The developed technique is valuable for advancing human genome mapping and understanding the genetic basis of complex diseases.