IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v13y2022i1d10.1038_s41467-022-32908-7.html
   My bibliography  Save this article

Specialist multidisciplinary input maximises rare disease diagnoses from whole genome sequencing

Author

Listed:
  • William L. Macken

    (UCL Queen Square Institute of Neurology
    The National Hospital for Neurology and Neurosurgery)

  • Micol Falabella

    (UCL Queen Square Institute of Neurology)

  • Caroline McKittrick

    (UCL Queen Square Institute of Neurology)

  • Chiara Pizzamiglio

    (UCL Queen Square Institute of Neurology
    The National Hospital for Neurology and Neurosurgery)

  • Rebecca Ellmers

    (North Thames Genomic Laboratory Hub)

  • Kelly Eggleton

    (North Thames Genomic Laboratory Hub)

  • Cathy E. Woodward

    (The National Hospital for Neurology and Neurosurgery
    North Thames Genomic Laboratory Hub)

  • Yogen Patel

    (North Thames Genomic Laboratory Hub)

  • Robyn Labrum

    (The National Hospital for Neurology and Neurosurgery
    North Thames Genomic Laboratory Hub)

  • Rahul Phadke

    (Great Ormond Street Hospital for Children NHS Foundation Trust)

  • Mary M. Reilly

    (UCL Queen Square Institute of Neurology)

  • Catherine DeVile

    (Great Ormond Street Hospital for Children NHS Foundation Trust)

  • Anna Sarkozy

    (Great Ormond Street Hospital for Children NHS Foundation Trust)

  • Emma Footitt

    (Great Ormond Street Hospital for Children NHS Foundation Trust)

  • James Davison

    (Great Ormond Street Hospital for Children NHS Foundation Trust
    National Institute for Health and Care Research Great Ormond Street Hospital Biomedical Research Centre)

  • Shamima Rahman

    (Great Ormond Street Hospital for Children NHS Foundation Trust
    UCL Great Ormond Street Institute of Child Health)

  • Henry Houlden

    (UCL Queen Square Institute of Neurology)

  • Enrico Bugiardini

    (UCL Queen Square Institute of Neurology
    The National Hospital for Neurology and Neurosurgery)

  • Rosaline Quinlivan

    (UCL Queen Square Institute of Neurology
    The National Hospital for Neurology and Neurosurgery
    Great Ormond Street Hospital for Children NHS Foundation Trust)

  • Michael G. Hanna

    (UCL Queen Square Institute of Neurology
    The National Hospital for Neurology and Neurosurgery)

  • Jana Vandrovcova

    (UCL Queen Square Institute of Neurology)

  • Robert D. S. Pitceathly

    (UCL Queen Square Institute of Neurology
    The National Hospital for Neurology and Neurosurgery)

Abstract

Diagnostic whole genome sequencing (WGS) is increasingly used in rare diseases. However, standard, semi-automated WGS analysis may overlook diagnoses in complex disorders. Here, we show that specialist multidisciplinary analysis of WGS, following an initial ‘no primary findings’ (NPF) report, improves diagnostic rates and alters management. We undertook WGS in 102 adults with diagnostically challenging primary mitochondrial disease phenotypes. NPF cases were reviewed by a genomic medicine team, thus enabling bespoke informatic approaches, co-ordinated phenotypic validation, and functional work. We enhanced the diagnostic rate from 16.7% to 31.4%, with management implications for all new diagnoses, and detected strong candidate disease-causing variants in a further 3.9% of patients. This approach presents a standardised model of care that supports mainstream clinicians and enhances diagnostic equity for complex disorders, thereby facilitating access to the potential benefits of genomic healthcare. This research was made possible through access to the data and findings generated by the 100,000 Genomes Project: http://www.genomicsengland.co.uk .

Suggested Citation

  • William L. Macken & Micol Falabella & Caroline McKittrick & Chiara Pizzamiglio & Rebecca Ellmers & Kelly Eggleton & Cathy E. Woodward & Yogen Patel & Robyn Labrum & Rahul Phadke & Mary M. Reilly & Cat, 2022. "Specialist multidisciplinary input maximises rare disease diagnoses from whole genome sequencing," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-32908-7
    DOI: 10.1038/s41467-022-32908-7
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-022-32908-7
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-022-32908-7?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
    ---><---

    References listed on IDEAS

    as
    1. Laura S. Kremer & Daniel M. Bader & Christian Mertes & Robert Kopajtich & Garwin Pichler & Arcangela Iuso & Tobias B. Haack & Elisabeth Graf & Thomas Schwarzmayr & Caterina Terrile & Eliška Koňaříková, 2017. "Genetic diagnosis of Mendelian disorders via RNA sequencing," Nature Communications, Nature, vol. 8(1), pages 1-11, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Matthew J. O’Neill & Tao Yang & Julie Laudeman & Maria E. Calandranis & M. Lorena Harvey & Joseph F. Solus & Dan M. Roden & Andrew M. Glazer, 2024. "ParSE-seq: a calibrated multiplexed assay to facilitate the clinical classification of putative splice-altering variants," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    2. Margaret Sunitha Selvaraj & Xihao Li & Zilin Li & Akhil Pampana & David Y. Zhang & Joseph Park & Stella Aslibekyan & Joshua C. Bis & Jennifer A. Brody & Brian E. Cade & Lee-Ming Chuang & Ren-Hua Chung, 2022. "Whole genome sequence analysis of blood lipid levels in >66,000 individuals," Nature Communications, Nature, vol. 13(1), pages 1-18, 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:13:y:2022:i:1:d:10.1038_s41467-022-32908-7. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.