Dissemin is shutting down on January 1st, 2025

Published in

Nature Research, Nature Genetics, 9(47), p. 969-978, 2015

DOI: 10.1038/ng.3360

Links

Tools

Export citation

Search in Google Scholar

Analysis of mammalian gene function through broad-based phenotypic screens across a consortium of mouse clinics

Journal article published in 2015 by Martin Hrabě de Angelis ORCID, de Angelis Mh, Jacqueline K. White, George Nicholson, Ali Önder Yildirim, Mohammed Selloum, M. H. De Angelis, M. Hrabě de Angelis, Anna-Karin Gerdin, Hugh Morgan, White Jk, Ramiro Ramirez-Solis, Natalia S. Pellegata, Tania Sorg, Birling Mc and other authors.
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Orange circle
Postprint: archiving restricted
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

Abstract

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.