IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v12y2021i1d10.1038_s41467-020-20852-3.html
   My bibliography  Save this article

The contribution of X-linked coding variation to severe developmental disorders

Author

Listed:
  • Hilary C. Martin

    (Wellcome Genome Campus)

  • Eugene J. Gardner

    (Wellcome Genome Campus)

  • Kaitlin E. Samocha

    (Wellcome Genome Campus)

  • Joanna Kaplanis

    (Wellcome Genome Campus)

  • Nadia Akawi

    (Wellcome Genome Campus
    University of Oxford)

  • Alejandro Sifrim

    (Wellcome Genome Campus
    University of Leuven)

  • Ruth Y. Eberhardt

    (Wellcome Genome Campus)

  • Ana Lisa Taylor Tavares

    (Wellcome Genome Campus
    Cambridge University Hospitals NHS Foundation Trust
    Queen Mary University of London)

  • Matthew D. C. Neville

    (Wellcome Genome Campus)

  • Mari E. K. Niemi

    (Wellcome Genome Campus
    University of Helsinki)

  • Giuseppe Gallone

    (Wellcome Genome Campus
    Max Planck Institute for Molecular Genetics)

  • Jeremy McRae

    (Wellcome Genome Campus
    Illumina Inc.)

  • Caroline F. Wright

    (University of Exeter Medical School)

  • David R. FitzPatrick

    (University of Edinburgh, Western General Hospital)

  • Helen V. Firth

    (Wellcome Genome Campus
    Cambridge University Hospitals NHS Foundation Trust)

  • Matthew E. Hurles

    (Wellcome Genome Campus)

Abstract

Over 130 X-linked genes have been robustly associated with developmental disorders, and X-linked causes have been hypothesised to underlie the higher developmental disorder rates in males. Here, we evaluate the burden of X-linked coding variation in 11,044 developmental disorder patients, and find a similar rate of X-linked causes in males and females (6.0% and 6.9%, respectively), indicating that such variants do not account for the 1.4-fold male bias. We develop an improved strategy to detect X-linked developmental disorders and identify 23 significant genes, all of which were previously known, consistent with our inference that the vast majority of the X-linked burden is in known developmental disorder-associated genes. Importantly, we estimate that, in male probands, only 13% of inherited rare missense variants in known developmental disorder-associated genes are likely to be pathogenic. Our results demonstrate that statistical analysis of large datasets can refine our understanding of modes of inheritance for individual X-linked disorders.

Suggested Citation

  • Hilary C. Martin & Eugene J. Gardner & Kaitlin E. Samocha & Joanna Kaplanis & Nadia Akawi & Alejandro Sifrim & Ruth Y. Eberhardt & Ana Lisa Taylor Tavares & Matthew D. C. Neville & Mari E. K. Niemi & , 2021. "The contribution of X-linked coding variation to severe developmental disorders," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-020-20852-3
    DOI: 10.1038/s41467-020-20852-3
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-020-20852-3
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-020-20852-3?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. Elizabeth J. Radford & Hong-Kee Tan & Malin H. L. Andersson & James D. Stephenson & Eugene J. Gardner & Holly Ironfield & Andrew J. Waters & Daniel Gitterman & Sarah Lindsay & Federico Abascal & Iñigo, 2023. "Saturation genome editing of DDX3X clarifies pathogenicity of germline and somatic variation," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    2. Sheng Wang & Belinda Wang & Vanessa Drury & Sam Drake & Nawei Sun & Hasan Alkhairo & Juan Arbelaez & Clif Duhn & Vanessa H. Bal & Kate Langley & Joanna Martin & Pieter J. Hoekstra & Andrea Dietrich & , 2023. "Rare X-linked variants carry predominantly male risk in autism, Tourette syndrome, and ADHD," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    3. Elsa Leitão & Christopher Schröder & Ilaria Parenti & Carine Dalle & Agnès Rastetter & Theresa Kühnel & Alma Kuechler & Sabine Kaya & Bénédicte Gérard & Elise Schaefer & Caroline Nava & Nathalie Drouo, 2022. "Systematic analysis and prediction of genes associated with monogenic disorders on human chromosome X," Nature Communications, Nature, vol. 13(1), pages 1-17, 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:12:y:2021:i:1:d:10.1038_s41467-020-20852-3. 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.