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Related Experiment Videos

Navigating the HapMap.

Michael R Barnes1

  • 1Molecular Genetic Informatics, Discovery and Analysis Bioinformatics, GlaxoSmithKline Pharmaceuticals, Harlow, Essex, UK. Michael.R.Barnes@gsk.com

Briefings in Bioinformatics
|August 1, 2006
PubMed
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The HapMap resource provides a map of genetic variation, aiding researchers in understanding the human genome. Tools are available to analyze linkage disequilibrium (LD) and haplotype data for biological insights.

Area of Science:

  • Genomics
  • Human Genetics
  • Bioinformatics

Background:

  • The HapMap project provides a map of common genetic variation in human populations.
  • Understanding linkage disequilibrium (LD) and haplotype patterns is crucial for dissecting genetic contributions to human biology.
  • Analyzing large-scale genomic data presents challenges due to data volume and dimensionality.

Purpose of the Study:

  • To review available tools for viewing and analyzing HapMap data, including linkage disequilibrium (LD) and haplotype information.
  • To highlight how these tools facilitate the identification of haplotype tagging single nucleotide polymorphisms (SNPs) and potential causal variants.
  • To underscore the importance of HapMap as a resource for genomic research.

Main Methods:

  • Examination of computational and visualization tools for haplotype and LD analysis.

Related Experiment Videos

  • Review of methods for identifying optimal sets of haplotype tagging SNPs.
  • Discussion of approaches for linking SNPs to putative causal alleles.

    • Main Results:

    • Availability of tools simplifies the characterization of high-resolution LD across the genome.
    • Facilitation of tasks such as identifying haplotype tagging SNPs and exploring gene networks.
    • Demonstration of HapMap data's utility in inferring demographic history and selection.

    Conclusions:

    • The HapMap is an invaluable resource complementary to the human genome map.
    • Tools for analyzing HapMap data are essential for researchers in human biology.
    • HapMap data aids in understanding genetic variation, population history, and gene regulation.