IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v482y2012i7385d10.1038_nature10808.html
   My bibliography  Save this article

DNase I sensitivity QTLs are a major determinant of human expression variation

Author

Listed:
  • Jacob F. Degner

    (University of Chicago, Chicago, Illinois 60637, USA
    Committee on Genetics, Genomics and Systems Biology, University of Chicago, Chicago, Illinois 60637, USA)

  • Athma A. Pai

    (University of Chicago, Chicago, Illinois 60637, USA)

  • Roger Pique-Regi

    (University of Chicago, Chicago, Illinois 60637, USA)

  • Jean-Baptiste Veyrieras

    (University of Chicago, Chicago, Illinois 60637, USA
    BioMiningLabs, 69001 Lyon, France)

  • Daniel J. Gaffney

    (University of Chicago, Chicago, Illinois 60637, USA
    Howard Hughes Medical Institute, University of Chicago, Chicago, Illinois 60637, USA)

  • Joseph K. Pickrell

    (University of Chicago, Chicago, Illinois 60637, USA)

  • Sherryl De Leon

    (Howard Hughes Medical Institute, University of Chicago, Chicago, Illinois 60637, USA)

  • Katelyn Michelini

    (Howard Hughes Medical Institute, University of Chicago, Chicago, Illinois 60637, USA)

  • Noah Lewellen

    (Howard Hughes Medical Institute, University of Chicago, Chicago, Illinois 60637, USA)

  • Gregory E. Crawford

    (Institute for Genome Sciences and Policy, Duke University, Durham, North Carolina 27708, USA
    Duke University School of Medicine, Durham, North Carolina 27708, USA)

  • Matthew Stephens

    (University of Chicago, Chicago, Illinois 60637, USA
    University of Chicago, Chicago, Illinois 60637, USA)

  • Yoav Gilad

    (University of Chicago, Chicago, Illinois 60637, USA)

  • Jonathan K. Pritchard

    (University of Chicago, Chicago, Illinois 60637, USA
    Howard Hughes Medical Institute, University of Chicago, Chicago, Illinois 60637, USA)

Abstract

In human lymphoblastoid cell lines, 8,902 loci were identified at which genetic variation is significantly associated with local DNase I sensitivity; these variants are responsible for a large fraction of expression quantitative trait loci.

Suggested Citation

  • Jacob F. Degner & Athma A. Pai & Roger Pique-Regi & Jean-Baptiste Veyrieras & Daniel J. Gaffney & Joseph K. Pickrell & Sherryl De Leon & Katelyn Michelini & Noah Lewellen & Gregory E. Crawford & Matth, 2012. "DNase I sensitivity QTLs are a major determinant of human expression variation," Nature, Nature, vol. 482(7385), pages 390-394, February.
  • Handle: RePEc:nat:nature:v:482:y:2012:i:7385:d:10.1038_nature10808
    DOI: 10.1038/nature10808
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/nature10808
    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/nature10808?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. Xiaoquan Wen & Roger Pique-Regi & Francesca Luca, 2017. "Integrating molecular QTL data into genome-wide genetic association analysis: Probabilistic assessment of enrichment and colocalization," PLOS Genetics, Public Library of Science, vol. 13(3), pages 1-25, March.
    2. Iksoo Huh & Isabel Mendizabal & Taesung Park & Soojin V Yi, 2018. "Functional conservation of sequence determinants at rapidly evolving regulatory regions across mammals," PLOS Computational Biology, Public Library of Science, vol. 14(10), pages 1-21, October.
    3. Mary F Feitosa & Aldi T Kraja & Daniel I Chasman & Yun J Sung & Thomas W Winkler & Ioanna Ntalla & Xiuqing Guo & Nora Franceschini & Ching-Yu Cheng & Xueling Sim & Dina Vojinovic & Jonathan Marten & S, 2018. "Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-36, June.
    4. Schraiber, Joshua G. & Landis, Michael J., 2015. "Sensitivity of quantitative traits to mutational effects and number of loci," Theoretical Population Biology, Elsevier, vol. 102(C), pages 85-93.
    5. Wendiao Zhang & Ming Zhang & Zhenhong Xu & Hongye Yan & Huimin Wang & Jiamei Jiang & Juan Wan & Beisha Tang & Chunyu Liu & Chao Chen & Qingtuan Meng, 2023. "Human forebrain organoid-based multi-omics analyses of PCCB as a schizophrenia associated gene linked to GABAergic pathways," Nature Communications, Nature, vol. 14(1), pages 1-13, 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:482:y:2012:i:7385:d:10.1038_nature10808. 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.