Skip Navigation Genome.gov - National Human Genome Research InstituteGenome.gov - National Human Genome Research InstituteGenome.gov - National Human Genome Research InstituteNational Institutes of Health
   
       Home | About NHGRI | Newsroom | Staff
Research Grants Health Policy & Ethics Educational Resources Careers & Training
Division of Extramural Research (DER)

DER Overview
Funded Research Programs
bullet The Large-Scale Genome Sequencing Program
bullet Genetic Variation Program
bullet Genome Technology Program
bullet Functional Analysis Program
bullet Genome Informatics and Computational Biology Program
bullet Ethical, Legal and Social Implications (ELSI) Research Program
bullet Centers of Excellence in Genomic Science
bullet International
HapMap Project
bullet The ENCODE Project
  bullet The modENCODE Project
bullet The Knockout Mouse Project
bullet The Cancer Genome Atlas
Reports and Publications
Division of Extramural Research Program Staff



In Other Sections:

About the Division of Extramural Research

Initiatives and Resources Related to Minority and Special Populations

Funding Opportunities




Home>Research>Extramural Research >International HapMap Project

International HapMap Project

DNA helix on a world map
Overview Overview
Upcoming Events, Reports and Related Projects Upcoming Events, Reports and Related Projects
Relevant Papers HapMap Project Papers
Related Research HapMap Project Related Papers
Related Research Related Research
Funding Opportunities Funding Opportunities
Program Staff Staff

Consortium Publishes Phase II Map of Human Genetic Variation

The International HapMap Tutorial Webcast
The webcast for the October 27, 2005 tutorial: How to Use the Hap Map Data.

International HapMap Project Overview

The elucidation of the entire human genome has made possible our current effort to develop a haplotype map of the human genome. The haplotype map, or "HapMap," will be a tool that will allow researchers to find genes and genetic variations that affect health and disease.

The DNA sequence of any two people is 99.9 percent identical. The variations, however, may greatly affect an individual's disease risk. Sites in the DNA sequence where individuals differ at a single DNA base are called single nucleotide polymorphisms (SNPs). Sets of nearby SNPs on the same chromosome are inherited in blocks. This pattern of SNPs on a block is a haplotype. Blocks may contain a large number of SNPs, but a few SNPs are enough to uniquely identify the haplotypes in a block. The HapMap is a map of these haplotype blocks and the specific SNPs that identify the haplotypes are called tag SNPs.

The HapMap should be valuable by reducing the number of SNPs required to examine the entire genome for association with a phenotype from the 10 million SNPs that exist to roughly 500,000 tag SNPs. This will make genome scan approaches to finding regions with genes that affect diseases much more efficient and comprehensive, since effort will not be wasted typing more SNPs than necessary and all regions of the genome can be included.

In addition to its use in studying genetic associations with disease, the HapMap should be a powerful resource for studying the genetic factors contributing to variation in response to environmental factors, in susceptibility to infection, and in the effectiveness of and adverse responses to drugs and vaccines. All such studies will be based on the expectation that there will be higher frequencies of the contributing genetic components in a group of people with a disease or particular response to a drug, vaccine, pathogen, or environmental factor than in a group of similar people without the disease or response. Using just the tag SNPs, researchers should be able to find chromosome regions that have different haplotype distributions in the two groups of people, those with a disease or response and those without. Each region would then be studied in more detail to discover which variants in which genes in the region contribute to the disease or response, leading to more effective interventions. This should also allow the development of tests to predict which drugs or vaccines would be most effective in individuals with particular genotypes for genes affecting drug metabolism.

Top of page

International HapMap Project Upcoming Events, Reports and Related Projects

Events
  • The International HapMap Tutorial Webcast
    The webcast for the October 27, 2005 tutorial: How to Use the HapMap Data.

    • HapMap Tutorial: How to use the HapMap Data [hapmap.org]
      Support materials for the two-hour tutorial on effective HapMap usage. Includes an introduction to the HapMap, use of the HapMap for association studies, tag SNP selection, improving analyses using chips with pre-selected SNPs and a guide to the HapMap web pages.
Meeting Reports
Related Projects
Top of page

International HapMap Project Papers

International HapMap Constortium. A second generation human haplotype map of over 3.1 million SNPs. Nature, 449:851-862. 2007. [Full Text] PDF file

International HapMap Constortium. Supplementary Information for: A second generation human haplotype map of over 3.1 million SNPs. Nature, 449:1-38. 2007. [Full Text] PDF file

Genome-wide detection and characterization of positive selection in human populations. Nature, 449:913-919. 2007. [Full Text] PDF file

International HapMap Consortium. A haplotype map of the human genome. Nature, 437: 1229-1320. 2005. [Full Text] PDF file

The International HapMap Consortium. The International HapMap Project. Nature, 426: 789-796. 2003. [Full Text] PDF file

The International HapMap Consortium. Integrating ethics and science in the International HapMap Project. Nature Genetics, 5: 467-475. 2004. [Full Text] PDF file

Thorisson, G.A., Smith A.V., Krishnan L., and Stein, L.D. The International HapMap Project Web site. Genome Research, 15:1592-1593. 2005. [PubMed] [Genome Research]

Top of page

International HapMap Project Related Papers

Clark, A.G., Hubisz, M.J., Bustamante C.D., Williamson, S.H., and Nielsen, R. Ascertainment bias in studies of human genome-wide polymorphism. Genome Research, 15:1496-1502. 2005. [PubMed]

Goldstein, D.B., and Cavalleri, G.L. Genomics: Understanding human diversity. Nature, 437:1241-1242. 2005. [Full Text] [nature.com] PDF file

Hinds, D.A., Stuve, L.L., Nilsen, G.B., Halperin, E., Eskin, E., Ballinger, D.G., Frazer, K.A., and Cox, D.R. Whole genome patterns of common DNA variation in three human populations. Science, 307:1072-1079. 2005. [PubMed]

Myers, S., Bottolo, L., Freeman, C., McVean, G., and Donnelly, P. A fine-scale map of recombination rates and hotspots across the human genome. Science, 310:321-324. 2005. [PubMed]

Nielsen, R., Williamson, S., Kim, Y., Hubisz, M.J., Clark, A.G., and Bustamante, C. Genomic scans for selective sweeps using SNP data. Genome Research, 15: 1566-1575. [PubMed]

Smith, A.V., Thomas, D.J., Munro, H.M., and Abecasis, G.R. Sequence features in regions of weak and strong linkage disequilibrium. Genome Research, 15:1519-1534. 2005. [PubMed]

Weir, B.S., Cardon, L.R., Anderson, A.D., Nielsen, D.M., and Hill, W.G. Measures of human population structure show heterogeneity among genomic regions. Genome Research, 15:1468-1476. 2005. [PubMed]

Daly, M.J., Rioux, J.D., Schaffner, S.F., Hudson, T.J., and Lander, E.S. High-resolution haplotype structure in the human genome. Nature Genetics, 29: 229-232. 2001. [Full Text] [nature.com]

Gabriel, S.B., Schaffner, S.F., Nguyen, H., Moore, J.M., Roy, J., Blumenstiel, B., Higgins, J., DeFelice, M., Lochner, A., Faggart, M., Liu-Cordero, S.N., Rotimi, C., Adeyemo, A., Cooper, R., Ward, R., Lander, E.S., Daly, M.J., Altshuler, D. The Structure of Haplotype Blocks in the Human Genome. Science, 296(5576):2225-9. 2002. (Look at the supplemental data, especially Fig. 1 also.) [PubMed]

Reich, D.E., Cargill, M., Bolk, S., Ireland, J., Sabeti, P.C., Richter, D.J., Lavery, T., Kouyoumjian, R., Farhadian, S.F., Ward, R., and Lander, E.S. Linkage disequilibrium in the human genome. Nature, 411: 199-204. 2001. [Full Text] [nature.com]

Goldstein, D.B., and Weale, M.E. Population genomics: Linkage disequilibrium holds the key. Curr. Biol 11, R576-579. 2001.[Full Text] PDF file

To view the PDF documents on this page you will need Adobe Reader.Download Adobe Reader

Top of page

International HapMap Project Related Research

Top of page

International HapMap Project Funding Opportunities

Top of page

International HapMap Project Staff

Program Directors

Lisa D. Brooks, Ph.D.
E-mail: brooksl@exchange.nih.gov

Jean McEwen, J.D., Ph.D.
E-mail: mcewenj@mail.nih.gov

Vivian Ota Wang, Ph.D
E-mail: otawangv@mail.nih.gov

Program Analysts

Christianne Bird
E-mail: birdch@mail.nih.gov

Christopher Juenger, M.S.
E-mail: juengerc@mail.nih.gov

Address

National Human Genome Research Institute
National Institutes of Health
5635 Fishers Lane
Suite 4076, MSC 9305
Bethesda, MD 20892-9305

Phone: (301) 496-7531
Fax: (301) 480-2770

Top of page

Last Updated: June 19, 2008




Print Version


See Also:

Consortium Publishes Phase II Map of Human Genetic Variation
2007 News Release

International Consortium Completes Map Of Human Genetic Variation
2005 News Release

The International HapMap Project Press Conference Webcast
View the Webcast
Get RealPlayer About The International HapMap Project
A fact sheet about the HapMap

Ethical and Community Issues Raised By the International HapMap
Ethical issues surrounding HapMap

International Consortium Launches Genetic Variation Mapping Project:
2002 News Release



PrivacyCopyrightContactAccessibilitySite MapStaff DirectoryFOIAHome Department of Health and Human Services  National Institutes of Health  USA.gov