IDEAS home Printed from https://ideas.repec.org/a/plo/pgen00/1005728.html
   My bibliography  Save this article

Genome-Wide Scan Informed by Age-Related Disease Identifies Loci for Exceptional Human Longevity

Author

Listed:
  • Kristen Fortney
  • Edgar Dobriban
  • Paolo Garagnani
  • Chiara Pirazzini
  • Daniela Monti
  • Daniela Mari
  • Gil Atzmon
  • Nir Barzilai
  • Claudio Franceschi
  • Art B Owen
  • Stuart K Kim

Abstract

We developed a new statistical framework to find genetic variants associated with extreme longevity. The method, informed GWAS (iGWAS), takes advantage of knowledge from large studies of age-related disease in order to narrow the search for SNPs associated with longevity. To gain support for our approach, we first show there is an overlap between loci involved in disease and loci associated with extreme longevity. These results indicate that several disease variants may be depleted in centenarians versus the general population. Next, we used iGWAS to harness information from 14 meta-analyses of disease and trait GWAS to identify longevity loci in two studies of long-lived humans. In a standard GWAS analysis, only one locus in these studies is significant (APOE/TOMM40) when controlling the false discovery rate (FDR) at 10%. With iGWAS, we identify eight genetic loci to associate significantly with exceptional human longevity at FDR

Suggested Citation

  • Kristen Fortney & Edgar Dobriban & Paolo Garagnani & Chiara Pirazzini & Daniela Monti & Daniela Mari & Gil Atzmon & Nir Barzilai & Claudio Franceschi & Art B Owen & Stuart K Kim, 2015. "Genome-Wide Scan Informed by Age-Related Disease Identifies Loci for Exceptional Human Longevity," PLOS Genetics, Public Library of Science, vol. 11(12), pages 1-23, December.
    • Handle: RePEc:plo:pgen00:1005728
    DOI: 10.1371/journal.pgen.1005728
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1005728
    Download Restriction: no
    File URL: https://journals.plos.org/plosgenetics/article/file?id=10.1371/journal.pgen.1005728&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pgen.1005728?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
    ---><---

    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:plo:pgen00:1005728. 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: plosgenetics (email available below). General contact details of provider: https://journals.plos.org/plosgenetics/ .

    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.