IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v8y2017i1d10.1038_s41467-017-00453-3.html
   My bibliography  Save this article

Multivariate discovery and replication of five novel loci associated with Immunoglobulin G N-glycosylation

Author

Listed:
  • Xia Shen

    (University of Edinburgh
    Karolinska Institutet
    University of Edinburgh, Western General Hospital)

  • Lucija Klarić

    (University of Edinburgh
    University of Edinburgh, Western General Hospital
    Genos Glycoscience Research Laboratory)

  • Sodbo Sharapov

    (Novosibirsk State University
    Institute of Cytology and Genetics SB RAS)

  • Massimo Mangino

    (King’s College London
    National Institute for Health Research (NIHR) Biomedical Research Centre at Guy’s and St. Thomas’ Foundation Trust)

  • Zheng Ning

    (Karolinska Institutet)

  • Di Wu

    (Stockholm University)

  • Irena Trbojević-Akmačić

    (Genos Glycoscience Research Laboratory)

  • Maja Pučić-Baković

    (Genos Glycoscience Research Laboratory)

  • Igor Rudan

    (University of Edinburgh
    University of Edinburgh, Western General Hospital)

  • Ozren Polašek

    (University of Split)

  • Caroline Hayward

    (University of Edinburgh, Western General Hospital)

  • Timothy D. Spector

    (King’s College London)

  • James F. Wilson

    (University of Edinburgh
    University of Edinburgh, Western General Hospital)

  • Gordan Lauc

    (Genos Glycoscience Research Laboratory
    University of Zagreb)

  • Yurii S. Aulchenko

    (Novosibirsk State University
    Institute of Cytology and Genetics SB RAS
    PolyOmica, Het Vlaggeschip 61)

Abstract

Joint modeling of a number of phenotypes using multivariate methods has often been neglected in genome-wide association studies and if used, replication has not been sought. Modern omics technologies allow characterization of functional phenomena using a large number of related phenotype measures, which can benefit from such joint analysis. Here, we report a multivariate genome-wide association studies of 23 immunoglobulin G (IgG) N-glycosylation phenotypes. In the discovery cohort, our multi-phenotype method uncovers ten genome-wide significant loci, of which five are novel (IGH, ELL2, HLA-B-C, AZI1, FUT6-FUT3). We convincingly replicate all novel loci via multivariate tests. We show that IgG N-glycosylation loci are strongly enriched for genes expressed in the immune system, in particular antibody-producing cells and B lymphocytes. We empirically demonstrate the efficacy of multivariate methods to discover novel, reproducible pleiotropic effects.

Suggested Citation

  • Xia Shen & Lucija Klarić & Sodbo Sharapov & Massimo Mangino & Zheng Ning & Di Wu & Irena Trbojević-Akmačić & Maja Pučić-Baković & Igor Rudan & Ozren Polašek & Caroline Hayward & Timothy D. Spector & J, 2017. "Multivariate discovery and replication of five novel loci associated with Immunoglobulin G N-glycosylation," Nature Communications, Nature, vol. 8(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_s41467-017-00453-3
    DOI: 10.1038/s41467-017-00453-3
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-017-00453-3
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-017-00453-3?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. Xinyuan Zhang & Anastasia M. Lucas & Yogasudha Veturi & Theodore G. Drivas & William P. Bone & Anurag Verma & Wendy K. Chung & David Crosslin & Joshua C. Denny & Scott Hebbring & Gail P. Jarvik & Ifti, 2022. "Large-scale genomic analyses reveal insights into pleiotropy across circulatory system diseases and nervous system disorders," Nature Communications, Nature, vol. 13(1), pages 1-12, 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:8:y:2017:i:1:d:10.1038_s41467-017-00453-3. 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.