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Publication Detail
Whole-genome sequencing of patients with rare diseases in a national health system
  • Publication Type:
    Journal article
  • Publication Sub Type:
    Article
  • Authors:
    Turro E, Astle WJ, Megy K, Gräf S, Greene D, Shamardina O, Allen HL, Sanchis-Juan A, Frontini M, Thys C, Stephens J, Mapeta R, Burren OS, Downes K, Haimel M, Tuna S, Deevi SVV, Aitman TJ, Bennett DL, Calleja P, Carss K, Caulfield MJ, Chinnery PF, Dixon PH, Gale DP, James R, Koziell A, Laffan MA, Levine AP, Maher ER, Markus HS, Morales J, Morrell NW, Mumford AD, Ormondroyd E, Rankin S, Rendon A, Richardson S, Roberts I, Roy NBA, Saleem MA, Smith KGC, Stark H, Tan RYY, Themistocleous AC, Thrasher AJ, Watkins H, Webster AR, Wilkins MR, Williamson C, Whitworth J, Humphray S, Bentley DR, Abbs S, Abulhoul L, Adlard J, Ahmed M, Aitman TJ, Alachkar H, Allsup DJ, Almeida-King J, Ancliff P, Antrobus R, Armstrong R, Arno G, Ashford S, Astle WJ, Attwood A, Aurora P, Babbs C, Bacchelli C, Bakchoul T, Banka S, Bariana T, Barwell J, Batista J, Baxendale HE, Beales PL, Bennett DL, Bentley DR, Bierzynska A, Biss T, Bitner-Glindzicz MAK, Black GC, Bleda M, Blesneac I, Bockenhauer D, Bogaard H, Bourne CJ, Boyce S, Bradley JR, Bragin E, Breen G, Brennan P, Brewer C, Brown M, Browning AC, Browning MJ, Buchan RJ, Buckland MS
  • Publication date:
    02/07/2020
  • Journal:
    Nature
  • Status:
    Published
  • Print ISSN:
    0028-0836
Abstract
© 2020, The Author(s), under exclusive licence to Springer Nature Limited. Most patients with rare diseases do not receive a molecular diagnosis and the aetiological variants and causative genes for more than half such disorders remain to be discovered1. Here we used whole-genome sequencing (WGS) in a national health system to streamline diagnosis and to discover unknown aetiological variants in the coding and non-coding regions of the genome. We generated WGS data for 13,037 participants, of whom 9,802 had a rare disease, and provided a genetic diagnosis to 1,138 of the 7,065 extensively phenotyped participants. We identified 95 Mendelian associations between genes and rare diseases, of which 11 have been discovered since 2015 and at least 79 are confirmed to be aetiological. By generating WGS data of UK Biobank participants2, we found that rare alleles can explain the presence of some individuals in the tails of a quantitative trait for red blood cells. Finally, we identified four novel non-coding variants that cause disease through the disruption of transcription of ARPC1B, GATA1, LRBA and MPL. Our study demonstrates a synergy by using WGS for diagnosis and aetiological discovery in routine healthcare.
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