IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v9y2018i1d10.1038_s41467-018-07070-8.html
   My bibliography  Save this article

Cohort-wide deep whole genome sequencing and the allelic architecture of complex traits

Author

Listed:
  • Arthur Gilly

    (Wellcome Sanger Institute)

  • Daniel Suveges

    (Wellcome Sanger Institute)

  • Karoline Kuchenbaecker

    (Wellcome Sanger Institute
    University College of London
    University College London)

  • Martin Pollard

    (Wellcome Sanger Institute
    University of Cambridge)

  • Lorraine Southam

    (Wellcome Sanger Institute
    University of Oxford)

  • Konstantinos Hatzikotoulas

    (Wellcome Sanger Institute
    Institute of Translational Genomics, Helmholtz Zentrum München – German Research Center for Environmental Health)

  • Aliki-Eleni Farmaki

    (University of Leicester
    Harokopio University of Athens)

  • Thea Bjornland

    (Norwegian Institute of Science and Technology)

  • Ryan Waples

    (University of Copenhagen)

  • Emil V. R. Appel

    (University of Copenhagen)

  • Elisabetta Casalone

    (University of Torino)

  • Giorgio Melloni

    (Harvard Medical School)

  • Britt Kilian

    (Wellcome Sanger Institute)

  • Nigel W. Rayner

    (Wellcome Sanger Institute
    University of Oxford
    University of Oxford, Old Road, Headington)

  • Ioanna Ntalla

    (Queen Mary University of London)

  • Kousik Kundu

    (Wellcome Sanger Institute
    University of Cambridge)

  • Klaudia Walter

    (Wellcome Sanger Institute)

  • John Danesh

    (Wellcome Sanger Institute
    University of Cambridge
    University of Cambridge, Strangeways Research Laboratory)

  • Adam Butterworth

    (University of Cambridge
    University of Cambridge, Strangeways Research Laboratory
    Addenbrooke’s Hospital)

  • Inês Barroso

    (Wellcome Sanger Institute)

  • Emmanouil Tsafantakis

    (Anogia Medical Centre)

  • George Dedoussis

    (Harokopio University of Athens)

  • Ida Moltke

    (University of Copenhagen)

  • Eleftheria Zeggini

    (Wellcome Sanger Institute
    Institute of Translational Genomics, Helmholtz Zentrum München – German Research Center for Environmental Health)

Abstract

The role of rare variants in complex traits remains uncharted. Here, we conduct deep whole genome sequencing of 1457 individuals from an isolated population, and test for rare variant burdens across six cardiometabolic traits. We identify a role for rare regulatory variation, which has hitherto been missed. We find evidence of rare variant burdens that are independent of established common variant signals (ADIPOQ and adiponectin, P = 4.2 × 10−8; APOC3 and triglyceride levels, P = 1.5 × 10−26), and identify replicating evidence for a burden associated with triglyceride levels in FAM189B (P = 2.2 × 10−8), indicating a role for this gene in lipid metabolism.

Suggested Citation

  • Arthur Gilly & Daniel Suveges & Karoline Kuchenbaecker & Martin Pollard & Lorraine Southam & Konstantinos Hatzikotoulas & Aliki-Eleni Farmaki & Thea Bjornland & Ryan Waples & Emil V. R. Appel & Elisab, 2018. "Cohort-wide deep whole genome sequencing and the allelic architecture of complex traits," Nature Communications, Nature, vol. 9(1), pages 1-9, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-07070-8
    DOI: 10.1038/s41467-018-07070-8
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-018-07070-8
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-018-07070-8?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
    ---><---

    Citations

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


    Cited by:

    1. Marcin Kierczak & Nima Rafati & Julia Höglund & Hadrien Gourlé & Valeria Lo Faro & Daniel Schmitz & Weronica E. Ek & Ulf Gyllensten & Stefan Enroth & Diana Ekman & Björn Nystedt & Torgny Karlsson & Ås, 2022. "Contribution of rare whole-genome sequencing variants to plasma protein levels and the missing heritability," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    2. Mihail Halachev & Viktoria-Eleni Gountouna & Alison Meynert & Gannie Tzoneva & Alan R. Shuldiner & Colin A. Semple & James F. Wilson, 2024. "Regionally enriched rare deleterious exonic variants in the UK and Ireland," Nature Communications, Nature, vol. 15(1), pages 1-14, 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:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-07070-8. 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.