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

Utilizing HapMap and tagging SNPs.

Christopher A Haiman1, Daniel O Stram

  • 1Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.

Methods in Molecular Medicine
|May 6, 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

Novel strategy for disease risk prediction incorporating predicted gene expression and DNA methylation data: a multi-phased study of prostate cancer.

Cancer communications (London, England)·2021
Same author

Discovery of structural deletions in breast cancer predisposition genes using whole genome sequencing data from > 2000 women of African-ancestry.

Human genetics·2021
Same author

Cholesterol lowering drug use and breast cancer survival: the Multiethnic Cohort Study.

Breast cancer research and treatment·2021
Same author

Association of germline genetic variants with breast cancer-specific survival in patient subgroups defined by clinic-pathological variables related to tumor biology and type of systemic treatment.

Breast cancer research : BCR·2021
Same author

Large-scale cross-cancer fine-mapping of the 5p15.33 region reveals multiple independent signals.

HGG advances·2021
Same author

Genetic insights into biological mechanisms governing human ovarian ageing.

Nature·2021
Same journal

Erratum to: Immunotherapeutic Approach to Cancer with Cutaneous DNA Vaccination.

Methods in molecular medicine·2015
Same journal

Methods for cancer gene therapy using tumor suppressor genes.

Methods in molecular medicine·2014
Same journal

Suppression of the human carcinoma phenotype by an antioncogene ribozyme.

Methods in molecular medicine·2014
Same journal

Methods for the use of stromal cells for therapeutic gene therapy.

Methods in molecular medicine·2014
Same journal

Methods for adenovirus-mediated gene transfer to synovium in vivo.

Methods in molecular medicine·2014
Same journal

Methods for gene transfer to synovium.

Methods in molecular medicine·2014
See all related articles

This study explains how to use the International HapMap Project data and Haploview software to analyze genetic variations. Researchers can identify tag SNPs for disease association studies by evaluating linkage disequilibrium.

Area of Science:

  • Genomics
  • Human Genetics
  • Bioinformatics

Background:

  • Advances in human genome variation understanding and genotyping technology enable studying genetic diversity and phenotypes.
  • Public SNP databases and genome-wide data, like HapMap, are crucial for genetic research.
  • Linkage disequilibrium (LD) reveals redundancies among nearby polymorphisms, aiding marker selection.

Purpose of the Study:

  • To demonstrate the use of the HapMap resource and Haploview program for genetic data analysis.
  • To guide researchers in evaluating LD relationships between SNPs.
  • To facilitate the selection of tag SNPs for disease association studies.

Main Methods:

  • Utilizing the International HapMap Project dataset.
  • Employing the Haploview software for data processing and analysis.

Related Experiment Videos

  • Assessing linkage disequilibrium (LD) between single nucleotide polymorphisms (SNPs).

    • Main Results:

    • Demonstrated a practical workflow for analyzing HapMap data.
    • Provided methods for evaluating LD patterns between SNPs.
    • Illustrated the selection process for informative tag SNPs.

    Conclusions:

    • The HapMap resource and Haploview are effective tools for genetic data analysis.
    • Tag SNP selection using LD is efficient for disease association studies.
    • This approach aids in understanding the genetic basis of human diseases.