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

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作者
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
机构
[1] Queen Mary University of London,Clinical Pharmacology, William Harvey Research Institute, School of Medicine and Dentistry
[2] European Bioinformatics Institute (EMBL-EBI),European Molecular Biology Laboratory
[3] The Jackson Laboratory,Departments of Molecular Physiology and Biophysics
[4] Baylor College of Medicine,Departments of Molecular and Human Genetics
[5] Baylor College of Medicine,Department of Genetics, Perelman School of Medicine
[6] University of Pennsylvania,The Centre for Phenogenomics
[7] The Hospital for Sick Children,The Centre for Phenogenomics, Lunenfeld
[8] Mount Sinai Hospital,Tanenbaum Research Institute
[9] Medical Research Council Harwell Institute (Mammalian Genetics Unit and Mary Lyon Centre),German Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München
[10] German Research Center for Environmental Health,Czech Centre for Phenogenomics
[11] Université de Strasbourg,Institute of Developmental Genetics, Helmholtz Zentrum München
[12] CNRS,Department of Developmental Genetics, Center of Life and Food Sciences Weihenstephan
[13] INSERM,Deutsches Institut für Neurodegenerative Erkrankungen (DZNE) Site Munich, Munich Cluster for Systems Neurology (SyNergy), Adolf
[14] Institut Clinique de la Souris,Butenandt
[15] PHENOMIN-ICS,Institut
[16] Institute of Molecular Genetics of the Czech Academy of Sciences,Monterotondo Mouse Clinic, Italian National Research Council (CNR)
[17] Wellcome Trust Sanger Institute,Translational Medicine
[18] German Research Center for Environmental Health GmbH,Department of Experimental Genetics, Center of Life and Food Sciences Weihenstephan
[19] Technische Universität München,Mouse Biology Program
[20] Ludwig-Maximilians-Universität München,William Harvey Research Institute
[21] Institute of Cell Biology and Neurobiology,undefined
[22] The Hospital for Sick Children,undefined
[23] Université de Strasbourg,undefined
[24] CNRS,undefined
[25] INSERM,undefined
[26] Institut de Génétique,undefined
[27] Biologie Moléculaire et Cellulaire,undefined
[28] Institut Clinique de la Souris,undefined
[29] IGBMC,undefined
[30] PHENOMIN-ICS,undefined
[31] Technische Universität München,undefined
[32] German Center for Diabetes Research (DZD),undefined
[33] University of California,undefined
[34] Genomics England,undefined
[35] Queen Mary University of London,undefined
来源
Nature Communications | / 11卷
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摘要
The identification of causal variants in sequencing studies remains a considerable challenge that can be partially addressed by new gene-specific knowledge. Here, we integrate measures of how essential a gene is to supporting life, as inferred from viability and phenotyping screens performed on knockout mice by the International Mouse Phenotyping Consortium and essentiality screens carried out on human cell lines. We propose a cross-species gene classification across the Full Spectrum of Intolerance to Loss-of-function (FUSIL) and demonstrate that genes in five mutually exclusive FUSIL categories have differing biological properties. Most notably, Mendelian disease genes, particularly those associated with developmental disorders, are highly overrepresented among genes non-essential for cell survival but required for organism development. After screening developmental disorder cases from three independent disease sequencing consortia, we identify potentially pathogenic variants in genes not previously associated with rare diseases. We therefore propose FUSIL as an efficient approach for disease gene discovery.
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