IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v440y2006i7083d10.1038_nature04632.html
   My bibliography  Save this article

Human chromosome 11 DNA sequence and analysis including novel gene identification

Author

Listed:
  • Todd D. Taylor

    (RIKEN Genomic Sciences Center)

  • Hideki Noguchi

    (RIKEN Genomic Sciences Center
    University of Tokyo)

  • Yasushi Totoki

    (RIKEN Genomic Sciences Center)

  • Atsushi Toyoda

    (RIKEN Genomic Sciences Center)

  • Yoko Kuroki

    (RIKEN Genomic Sciences Center)

  • Ken Dewar

    (Broad Institute of MIT and Harvard
    McGill University and Genome Quebec Innovation Centre)

  • Christine Lloyd

    (The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus)

  • Takehiko Itoh

    (Mitsubishi Research Institute, Inc.)

  • Tadayuki Takeda

    (RIKEN Genomic Sciences Center)

  • Dae-Won Kim

    (Korea Research Institute of Bioscience & Biotechnology
    Biotechnology)

  • Xinwei She

    (University of Washington, Genome Sciences, HSB K336B)

  • Karen F. Barlow

    (The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus)

  • Toby Bloom

    (Broad Institute of MIT and Harvard)

  • Elspeth Bruford

    (University College London)

  • Jean L. Chang

    (Broad Institute of MIT and Harvard)

  • Christina A. Cuomo

    (Broad Institute of MIT and Harvard)

  • Evan Eichler

    (University of Washington, Genome Sciences, HSB K336B)

  • Michael G. FitzGerald

    (Broad Institute of MIT and Harvard)

  • David B. Jaffe

    (Broad Institute of MIT and Harvard)

  • Kurt LaButti

    (Broad Institute of MIT and Harvard)

  • Robert Nicol

    (Broad Institute of MIT and Harvard)

  • Hong-Seog Park

    (Korea Research Institute of Bioscience & Biotechnology
    Biotechnology)

  • Christopher Seaman

    (Broad Institute of MIT and Harvard)

  • Carrie Sougnez

    (Broad Institute of MIT and Harvard)

  • Xiaoping Yang

    (Broad Institute of MIT and Harvard)

  • Andrew R. Zimmer

    (Broad Institute of MIT and Harvard)

  • Michael C. Zody

    (Broad Institute of MIT and Harvard)

  • Bruce W. Birren

    (Broad Institute of MIT and Harvard)

  • Chad Nusbaum

    (Broad Institute of MIT and Harvard)

  • Asao Fujiyama

    (RIKEN Genomic Sciences Center
    National Institute of Informatics)

  • Masahira Hattori

    (RIKEN Genomic Sciences Center
    Kitasato University)

  • Jane Rogers

    (The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus)

  • Eric S. Lander

    (Broad Institute of MIT and Harvard)

  • Yoshiyuki Sakaki

    (RIKEN Genomic Sciences Center)

Abstract

Chromosome 11, although average in size, is one of the most gene- and disease-rich chromosomes in the human genome. Initial gene annotation indicates an average gene density of 11.6 genes per megabase, including 1,524 protein-coding genes, some of which were identified using novel methods, and 765 pseudogenes. One-quarter of the protein-coding genes shows overlap with other genes. Of the 856 olfactory receptor genes in the human genome, more than 40% are located in 28 single- and multi-gene clusters along this chromosome. Out of the 171 disorders currently attributed to the chromosome, 86 remain for which the underlying molecular basis is not yet known, including several mendelian traits, cancer and susceptibility loci. The high-quality data presented here—nearly 134.5 million base pairs representing 99.8% coverage of the euchromatic sequence—provide scientists with a solid foundation for understanding the genetic basis of these disorders and other biological phenomena.

Suggested Citation

  • Todd D. Taylor & Hideki Noguchi & Yasushi Totoki & Atsushi Toyoda & Yoko Kuroki & Ken Dewar & Christine Lloyd & Takehiko Itoh & Tadayuki Takeda & Dae-Won Kim & Xinwei She & Karen F. Barlow & Toby Bloo, 2006. "Human chromosome 11 DNA sequence and analysis including novel gene identification," Nature, Nature, vol. 440(7083), pages 497-500, March.
    • Handle: RePEc:nat:nature:v:440:y:2006:i:7083:d:10.1038_nature04632
    DOI: 10.1038/nature04632
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/nature04632
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1038/nature04632?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mohamed Awad & Xiangchao Gan, 2023. "GALA: a computational framework for de novo chromosome-by-chromosome assembly with long reads," Nature Communications, Nature, vol. 14(1), pages 1-11, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:440:y:2006:i:7083:d:10.1038_nature04632. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.