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. 2025 Feb 26.
doi: 10.1038/s41586-025-08623-w. Online ahead of print.

Rare disease gene association discovery in the 100,000 Genomes Project

Valentina Cipriani #  1   2   3 Letizia Vestito #  4 Emma F Magavern  4 Julius O B Jacobsen  4 Gavin Arno  5   6 Elijah R Behr  7   8 Katherine A Benson  9 Marta Bertoli  10 Detlef Bockenhauer  11   12 Michael R Bowl  13 Kate Burley  14 Li F Chan  15 Patrick Chinnery  16 Peter J Conlon  17 Marcos A Costa  5 Alice E Davidson  5 Sally J Dawson  13 Elhussein A E Elhassan  17 Sarah E Flanagan  18 Marta Futema  7   19 Daniel P Gale  12 Sonia García-Ruiz  20   21   22 Cecilia Gonzalez Corcia  23   24 Helen R Griffin  25 Sophie Hambleton  25   26 Amy R Hicks  20   21   22 Henry Houlden  27   28 Richard S Houlston  29 Sarah A Howles  30 Robert Kleta  12 Iris Lekkerkerker  31 Siying Lin  5   6 Petra Liskova  32   33 Hannah H Mitchison  21 Heba Morsy  34 Andrew D Mumford  14 William G Newman  35   36 Ruxandra Neatu  37 Edel A O'Toole  38 Albert C M Ong  39   40 Alistair T Pagnamenta  41   42 Shamima Rahman  21 Neil Rajan  25   43 Peter N Robinson  44   45 Mina Ryten  21   22   46   47   48 Omid Sadeghi-Alavijeh  12 John A Sayer  49   50   51 Claire L Shovlin  52 Jenny C Taylor  41   42 Omri Teltsh  9 Ian Tomlinson  53 Arianna Tucci  4   20 Clare Turnbull  54 Albertien M van Eerde  31 James S Ware  52   55 Laura M Watts  41   56 Andrew R Webster  5   6 Sarah K Westbury  57 Sean L Zheng  52   55 Mark Caulfield  4 Damian Smedley  58
Affiliations

Rare disease gene association discovery in the 100,000 Genomes Project

Valentina Cipriani et al. Nature. .

Abstract

Up to 80% of rare disease patients remain undiagnosed after genomic sequencing1, with many probably involving pathogenic variants in yet to be discovered disease-gene associations. To search for such associations, we developed a rare variant gene burden analytical framework for Mendelian diseases, and applied it to protein-coding variants from whole-genome sequencing of 34,851 cases and their family members recruited to the 100,000 Genomes Project2. A total of 141 new associations were identified, including five for which independent disease-gene evidence was recently published. Following in silico triaging and clinical expert review, 69 associations were prioritized, of which 30 could be linked to existing experimental evidence. The five associations with strongest overall genetic and experimental evidence were monogenic diabetes with the known β cell regulator3,4 UNC13A, schizophrenia with GPR17, epilepsy with RBFOX3, Charcot-Marie-Tooth disease with ARPC3 and anterior segment ocular abnormalities with POMK. Further confirmation of these and other associations could lead to numerous diagnoses, highlighting the clinical impact of large-scale statistical approaches to rare disease-gene association discovery.

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Conflict of interest statement

Competing interests: The authors declare the following competing interests: D.S. and M.C. were seconded to, and received salary from, Genomics England, a wholly owned Department of Health and Social Care company, from 2016 to 2018 and 2013 to 2021, respectively. E.A.O. has research funding from Kamari Pharma, Pavella Therapeutics, Unilever and the Leo Foundation unrelated to this work. She is CI for a trial for Kamari Pharma and performs consultancy for Kamari Pharma, Azitra and Palvella Therapeutics (all money goes to the university). S.L.Z. has provided consultancy services to Health Lumen. All other authors declare no competing interests.

Update of

  • Rare disease gene association discovery from burden analysis of the 100,000 Genomes Project data.
    Cipriani V, Vestito L, Magavern EF, Jacobsen JO, Arno G, Behr ER, Benson KA, Bertoli M, Bockenhauer D, Bowl MR, Burley K, Chan LF, Chinnery P, Conlon P, Costa M, Davidson AE, Dawson SJ, Elhassan E, Flanagan SE, Futema M, Gale DP, García-Ruiz S, Corcia CG, Griffin HR, Hambleton S, Hicks AR, Houlden H, Houlston RS, Howles SA, Kleta R, Lekkerkerker I, Lin S, Liskova P, Mitchison H, Morsy H, Mumford AD, Newman WG, Neatu R, O'Toole EA, Ong AC, Pagnamenta AT, Rahman S, Rajan N, Robinson PN, Ryten M, Sadeghi-Alavijeh O, Sayer JA, Shovlin CL, Taylor JC, Teltsh O, Tomlinson I, Tucci A, Turnbull C, van Eerde AM, Ware JS, Watts LM, Webster AR, Westbury SK, Zheng SL, Caulfield M, Smedley D. Cipriani V, et al. medRxiv [Preprint]. 2023 Dec 21:2023.12.20.23300294. doi: 10.1101/2023.12.20.23300294. medRxiv. 2023. Update in: Nature. 2025 Feb 26. doi: 10.1038/s41586-025-08623-w. PMID: 38196618 Free PMC article. Updated. Preprint.

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