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Definition: Human Genome Project |
Human Genome ProjectNoun1. An international study of the entire human genetic material. Source: WordNet 1.7.1 Copyright © 2001 by Princeton University. All rights reserved. |
| Domain | Definitions |
Health | A coordinated effort of researchers to map and sequence the human genome. (references) |
Source: compiled by the editor from various references; see credits. | |
(From Wikipedia, the free Encyclopedia)
The Human Genome Project (HGP) endeavoured to map the human genome down to the nucleotide (or base pair) level and to identify all the 30-35,000 genes present in it.
The consortium comprised:
History
The $3 billion project was founded in 1990 by the United States Department of Energy and the U.S. National Institutes of Health, and was expected to take 15 years. Due to widespread international cooperation and advances in the field of genomics (especially in sequence analysis), as well as huge advances in computing technology, a rough draft of the genome was finished in 2000 (announced jointly by US president Bill Clinton and British Prime Minister Tony Blair on June 26, 2000), two years earlier than planned.
On April 14, 2003, a joint press release announced that the project had been completed successfully, with 99% of the genome sequenced with 99.99% accuracy.
Another reason for the accelerated work was the commercially financed HGP at Celera Genomics, which used a new method called shotgun sequencing, and also that Celera Genomics planned to patent all genes found, unlike the gene sequences found by the original publicly-funded HGP, which are in line with the so called Bermuda Statement (Feb 1996) made freely available to the public on a 24 hours basis. This sort of competition proved to be very good for the Project.
Although the working draft was announced in June 2000, it was not until February 2001 that Celera and the HGP scientists published actual details of their drafts. Special issues of Nature (which published the publicly-funded project's scientific paper) and Science (which published Celera's paper) contained descriptions of the methods used to produce the draft sequence, as well as analysis of said sequence. These drafts are hoped to provide a 'scaffold' of about 90% of the genome upon which gaps can be closed.
Each draft sequence has been checked at least four to five times to increase 'depth of coverage' or accuracy. Approximately 47% of the draft were high-quality sequences - the final version will have been checked eight to nine times giving an error rate of just 1 in 10,000 bases.
The human genome project is one of a number of international genome projects in biology, each aimed at sequencing the DNA of a specific organism. While the human DNA sequence offers the most tangible benefits, important developments in biology and medicine are predicted as a result of the sequencing of model organisms including mice, fruitflies, zebrafish, yeast, nematodes and many microbial organisms and parasites.
The goals of the original HGP were not only to determine all 3 billion base pairs in the human genome with a minimal error rate, but to also identify all the genes in this vast amount of data. This part of the project is still ongoing although a preliminary count indicates about 30,000 genes in the human genome, which is far less than predicted by most scientists.
Another goal of the HGP was to develop faster, more efficient methods for DNA sequencing and sequence analysis and the transfer of these technologies to the industry.
Today, the sequence of the human DNA is stored in databases and is available for everyone on the Internet. Computer programs are developed to analyse that data, for the data itself is next to useless without interpretation.
The process of identifying the boundaries of genes and other features in raw DNA sequence is called annotation and is the domain of bioinformatics. While expert biologists make the best annotators, such annotation proceeds slowly, and computer programs are increasingly used to meet the high-throughput demands of genome sequencing projects. The best current technologies for annotation make use of statistical models that take advantage of parallels between DNA sequences and human language, using concepts from computer science such as formal grammars.
The work on automated interpretation on genome data has just begun. The knowledge gained by the understanding of the genome is hoped to boost the fields of medicine and biotechnology, eventually leading to cures for cancer, Alzheimers disease and other diseases.
For example, a biological researcher investigating a certain form of cancer may have narrowed down their search to a particular gene. By visiting the human genome database on the world-wide web, this researcher can examine what other scientists have written about this gene, including (potentially) its three-dimensional structure, its function(s), its evolutionary relationships to other human genes, or to genes in mice or yeast or fruitflies, possible detrimental mutations, interactions with other genes, body tissues in which this gene is activated, diseases associated with this gene... the list of datatypes is long, one reason why bioinformatics is so challenging.
One particularly exciting technology arising from genomics is the microarray (also called DNA chip), an array of probes for simultaneously measuring the amount of each of the 30,000+ human genes present in a given sample. This has aroused great interest as a potential diagnostic tool for science and medicine. It seems likely that there will be many more downstream technologies as a result of the human genome project.
On a more philosophical level, the analysis of similarities between DNA sequences from different organisms is opening new avenues in the study of evolution. In many cases, evolutionary questions can now be framed in terms of molecular biology; indeed, many major evolutionary milestones (the emergence of the ribosome and organelles, the development of embryos with body plans, the vertebrate immune system) can be related to the molecular level. Many questions about the similarities and differences between humans and our closest relatives (the primates, and indeed the other mammals) are expected to be illuminated by the data from this project.
See also: genetics, bioinformatics
Goals
Benefits
External Links
Source: adapted by the editor from Wikipedia, the free encyclopedia under a copyleft GNU Free Documentation License (GFDL) from the article "Human Genome Project."
| Domain | Title |
Books |
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Source: compiled by the editor from various references; see credits. | |
| Subject | Topic | Quote |
Health | The Human Genome Project is an ambitious effort to understand the hereditary instructions that make each of us unique. (references) | |
With careful attention to these ethical quandaries, and adequate safeguards when necessary, society can reap the full benefits of the Human Genome Project. (references) | ||
Because of such concerns, the Human Genome Project has, since its inception, devoted about 5% of its budget to research aimed at anticipating and resolving the ethical, legal, and social issues likely to arise from this research. (references) | ||
Source: compiled by the editor from ICON Group International, Inc.; see credits. | ||
| Speaker | Term | Phrase(s) |
Bill Clinton | 1993-2001 | The human genome project is now decoding the genetic mysteries of life. |
Source: compiled by the editor from various references. | ||
| The following statistics estimate the number of searches per day across the major English-language search engines as identified by various trade publications. Hyperlinks lead to commercial use of the expression at Amazon.com. |
| Expression | Frequency per Day |
human genome project | 436 |
information about the human genome project | 4 |
| Source: compiled by the editor from various references; see credits. | |
Scrabble® Enable2K-Verified Anagrams | |
| Words within the letters "a-c-e-e-e-g-h-j-m-m-n-n-o-o-p-r-t-u" | |
-5 letters: encouragement. | |
| Source: compiled by the editor from various references; see credits. SCRABBLE® is a registered trademark. All intellectual property rights in and to the game are owned in the U.S.A and Canada by Hasbro Inc., and throughout the rest of the world by J.W. Spear & Sons Limited of Maidenhead, Berkshire, England, a subsidiary of Mattel Inc. Mattel and Spear are not affiliated with Hasbro. | |
Hexadecimal (or equivalents, 770AD-1900s) (references)48 75 6D 61 6E      47 65 6E 6F 6D 65      50 72 6F 6A 65 63 74 |
| Leonardo da Vinci (1452-1519; backwards) (references)
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Binary Code (1918-1938, probably earlier) (references)01001000 01110101 01101101 01100001 01101110 00100000 01000111 01100101 01101110 01101111 01101101 01100101 00100000 01010000 01110010 01101111 01101010 01100101 01100011 01110100 |
HTML Code (1990) (references)H u m a n   G e n o m e   P r o j e c t |
ISO 10646 (1991-1993) (references)0048 0075 006D 0061 006E      0047 0065 006E 006F 006D 0065      0050 0072 006F 006A 0065 0063 0074 |
Encryption (beginner's substitution cypher): (references)42877967802417180817971250848176716986 |
| 1. Definition 2. Usage: Commercial 3. Quotations: Non-fiction 4. Quotations: Speeches | 5. Expressions: Internet 6. Anagrams 7. Orthography 8. Bibliography |
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