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The complete genome of an individual by massively parallel DNA sequencing

Overview of attention for article published in Nature, April 2008
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
3 news outlets
blogs
9 blogs
policy
1 policy source
twitter
9 X users
patent
122 patents
facebook
2 Facebook pages
wikipedia
23 Wikipedia pages

Citations

dimensions_citation
1509 Dimensions

Readers on

mendeley
1870 Mendeley
citeulike
42 CiteULike
connotea
23 Connotea
Title
The complete genome of an individual by massively parallel DNA sequencing
Published in
Nature, April 2008
DOI 10.1038/nature06884
Pubmed ID
Authors

David A. Wheeler, Maithreyan Srinivasan, Michael Egholm, Yufeng Shen, Lei Chen, Amy McGuire, Wen He, Yi-Ju Chen, Vinod Makhijani, G. Thomas Roth, Xavier Gomes, Karrie Tartaro, Faheem Niazi, Cynthia L. Turcotte, Gerard P. Irzyk, James R. Lupski, Craig Chinault, Xing-zhi Song, Yue Liu, Ye Yuan, Lynne Nazareth, Xiang Qin, Donna M. Muzny, Marcel Margulies, George M. Weinstock, Richard A. Gibbs, Jonathan M. Rothberg

Abstract

The association of genetic variation with disease and drug response, and improvements in nucleic acid technologies, have given great optimism for the impact of 'genomic medicine'. However, the formidable size of the diploid human genome, approximately 6 gigabases, has prevented the routine application of sequencing methods to deciphering complete individual human genomes. To realize the full potential of genomics for human health, this limitation must be overcome. Here we report the DNA sequence of a diploid genome of a single individual, James D. Watson, sequenced to 7.4-fold redundancy in two months using massively parallel sequencing in picolitre-size reaction vessels. This sequence was completed in two months at approximately one-hundredth of the cost of traditional capillary electrophoresis methods. Comparison of the sequence to the reference genome led to the identification of 3.3 million single nucleotide polymorphisms, of which 10,654 cause amino-acid substitution within the coding sequence. In addition, we accurately identified small-scale (2-40,000 base pair (bp)) insertion and deletion polymorphism as well as copy number variation resulting in the large-scale gain and loss of chromosomal segments ranging from 26,000 to 1.5 million base pairs. Overall, these results agree well with recent results of sequencing of a single individual by traditional methods. However, in addition to being faster and significantly less expensive, this sequencing technology avoids the arbitrary loss of genomic sequences inherent in random shotgun sequencing by bacterial cloning because it amplifies DNA in a cell-free system. As a result, we further demonstrate the acquisition of novel human sequence, including novel genes not previously identified by traditional genomic sequencing. This is the first genome sequenced by next-generation technologies. Therefore it is a pilot for the future challenges of 'personalized genome sequencing'.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,870 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 55 3%
United Kingdom 37 2%
Germany 23 1%
Netherlands 11 <1%
France 9 <1%
Canada 9 <1%
Brazil 9 <1%
Mexico 7 <1%
Denmark 6 <1%
Other 54 3%
Unknown 1650 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 423 23%
Student > Ph. D. Student 399 21%
Student > Master 211 11%
Student > Bachelor 159 9%
Professor > Associate Professor 122 7%
Other 356 19%
Unknown 200 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 855 46%
Biochemistry, Genetics and Molecular Biology 286 15%
Medicine and Dentistry 162 9%
Computer Science 76 4%
Engineering 47 3%
Other 203 11%
Unknown 241 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 99. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 April 2024.
All research outputs
#433,755
of 26,017,215 outputs
Outputs from Nature
#20,802
of 99,074 outputs
Outputs of similar age
#745
of 99,950 outputs
Outputs of similar age from Nature
#26
of 597 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 99,074 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.3. This one has done well, scoring higher than 78% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 99,950 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 597 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.