TY - JOUR
T1 - Analysis of mammalian gene function through broad-based phenotypic screens across a consortium of mouse clinics
AU - EUMODIC Consortium
AU - De Angelis, Martin Hrabě
AU - Nicholson, George
AU - Selloum, Mohammed
AU - White, Jacqueline K.
AU - Morgan, Hugh
AU - Ramirez-Solis, Ramiro
AU - Sorg, Tania
AU - Wells, Sara
AU - Fuchs, Helmut
AU - Fray, Martin
AU - Adams, David J.
AU - Adams, Niels C.
AU - Adler, Thure
AU - Aguilar-Pimentel, Antonio
AU - Ali-Hadji, Dalila
AU - Amann, Gregory
AU - André, Philippe
AU - Atkins, Sarah
AU - Auburtin, Aurelie
AU - Ayadi, Abdel
AU - Becker, Julien
AU - Becker, Lore
AU - Bedu, Elodie
AU - Bekeredjian, Raffi
AU - Birling, Marie Christine
AU - Blake, Andrew
AU - Bottomley, Joanna
AU - Bowl, Michael R.
AU - Brault, Véronique
AU - Busch, Dirk H.
AU - Bussell, James N.
AU - Calzada-Wack, Julia
AU - Cater, Heather
AU - Champy, Marie France
AU - Charles, Philippe
AU - Chevalier, Claire
AU - Chiani, Francesco
AU - Codner, Gemma F.
AU - Combe, Roy
AU - Cox, Roger
AU - Dalloneau, Emilie
AU - Dierich, André
AU - Di Fenza, Armida
AU - Doe, Brendan
AU - Duchon, Arnaud
AU - Eickelberg, Oliver
AU - Esapa, Chris T.
AU - Höfler, Heinz
AU - Klingenspor, Martin
AU - Wurst, Wolfgang
N1 - Publisher Copyright:
© 2015 Nature America, Inc. All rights reserved.
PY - 2015/8/27
Y1 - 2015/8/27
N2 - The function of the majority of genes in the mouse and human genomes remains unknown. The mouse embryonic stem cell knockout resource provides a basis for the characterization of relationships between genes and phenotypes. The EUMODIC consortium developed and validated robust methodologies for the broad-based phenotyping of knockouts through a pipeline comprising 20 disease-oriented platforms. We developed new statistical methods for pipeline design and data analysis aimed at detecting reproducible phenotypes with high power. We acquired phenotype data from 449 mutant alleles, representing 320 unique genes, of which half had no previous functional annotation. We captured data from over 27,000 mice, finding that 83% of the mutant lines are phenodeviant, with 65% demonstrating pleiotropy. Surprisingly, we found significant differences in phenotype annotation according to zygosity. New phenotypes were uncovered for many genes with previously unknown function, providing a powerful basis for hypothesis generation and further investigation in diverse systems.
AB - The function of the majority of genes in the mouse and human genomes remains unknown. The mouse embryonic stem cell knockout resource provides a basis for the characterization of relationships between genes and phenotypes. The EUMODIC consortium developed and validated robust methodologies for the broad-based phenotyping of knockouts through a pipeline comprising 20 disease-oriented platforms. We developed new statistical methods for pipeline design and data analysis aimed at detecting reproducible phenotypes with high power. We acquired phenotype data from 449 mutant alleles, representing 320 unique genes, of which half had no previous functional annotation. We captured data from over 27,000 mice, finding that 83% of the mutant lines are phenodeviant, with 65% demonstrating pleiotropy. Surprisingly, we found significant differences in phenotype annotation according to zygosity. New phenotypes were uncovered for many genes with previously unknown function, providing a powerful basis for hypothesis generation and further investigation in diverse systems.
UR - http://www.scopus.com/inward/record.url?scp=84940571939&partnerID=8YFLogxK
U2 - 10.1038/ng.3360
DO - 10.1038/ng.3360
M3 - Article
C2 - 26214591
AN - SCOPUS:84940571939
SN - 1061-4036
VL - 47
SP - 969
EP - 978
JO - Nature Genetics
JF - Nature Genetics
IS - 9
ER -