Nature Communications (Jan 2020)

Human and mouse essentiality screens as a resource for disease gene discovery

  • Pilar Cacheiro,
  • Violeta Muñoz-Fuentes,
  • Stephen A. Murray,
  • Mary E. Dickinson,
  • Maja Bucan,
  • Lauryl M. J. Nutter,
  • Kevin A. Peterson,
  • Hamed Haselimashhadi,
  • Ann M. Flenniken,
  • Hugh Morgan,
  • Henrik Westerberg,
  • Tomasz Konopka,
  • Chih-Wei Hsu,
  • Audrey Christiansen,
  • Denise G. Lanza,
  • Arthur L. Beaudet,
  • Jason D. Heaney,
  • Helmut Fuchs,
  • Valerie Gailus-Durner,
  • Tania Sorg,
  • Jan Prochazka,
  • Vendula Novosadova,
  • Christopher J. Lelliott,
  • Hannah Wardle-Jones,
  • Sara Wells,
  • Lydia Teboul,
  • Heather Cater,
  • Michelle Stewart,
  • Tertius Hough,
  • Wolfgang Wurst,
  • Radislav Sedlacek,
  • David J. Adams,
  • John R. Seavitt,
  • Glauco Tocchini-Valentini,
  • Fabio Mammano,
  • Robert E. Braun,
  • Colin McKerlie,
  • Yann Herault,
  • Martin Hrabě de Angelis,
  • Ann-Marie Mallon,
  • K. C.  Kent Lloyd,
  • Steve D. M. Brown,
  • Helen Parkinson,
  • Terrence F. Meehan,
  • Damian Smedley,
  • The Genomics England Research Consortium,
  • The International Mouse Phenotyping Consortium

DOI
https://doi.org/10.1038/s41467-020-14284-2
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 16

Abstract

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Discovery of causal variants for monogenic disorders has been facilitated by whole exome and genome sequencing, but does not provide a diagnosis for all patients. Here, the authors propose a Full Spectrum of Intolerance to Loss-of-Function (FUSIL) categorization that integrates gene essentiality information to aid disease gene discovery.