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Disease model discovery from 3,328 gene knockouts by The International Mouse Phenotyping Consortium

Version 2 2024-03-12, 17:18
Version 1 2024-03-01, 11:01
journal contribution
posted on 2024-03-12, 17:18 authored by Terrence F Meehan, Nathalie Conte, Natasha Karp, Luis Santos, Tanja Fiegel, Natalie Ring, Henrik Westerberg, Simon Greenaway, Duncan Sneddon, Hugh Morgan, Gemma F Codner, Michelle E Stewart, David B West, James BrownJames Brown, Neil Horner, Melissa Haendel, Nicole Washington, Christopher J Mungall, Corey L Reynolds, Juan Gallegos, Valerie Gailus-Durner, Tania Sorg, Guillaume Pavlovic, Julius O Jacobsen, Lynette R Bower, Mark Moore, Iva Morse, Xiang Gao, Glauco P Tocchini-Valentini, Yuichi Obata, Soo Young Cho, Je Kyung Seong, John Seavitt, Arthur L Beaudet, Jeremy Mason, Mary E Dickinson, Yann Herault, Wolfgang Wurst, Martin Hrabe de Angelis, K C Kent Lloyd, Ann M Flenniken, Lauryl M J Nutter, Susan Newbigging, Colin McKerlie, Monica J Justice, Jonathan Warren, Stephen A Murray, Karen L Svenson, Robert E Braun, Jacqueline K White, Allan Bradley, Paul Flicek, Sara Wells, William C Skarnes, David J Adams, Helen Parkinson, Chao-Kung Chen, Ann-Marie Mallon, Steve D M Brown, Damian Smedley, Ilinca Tudose, Mike Relac, Peter Matthews

Although next-generation sequencing has revolutionized the ability to associate variants with human diseases, diagnostic rates and development of new therapies are still limited by a lack of knowledge of the functions and pathobiological mechanisms of most genes. To address this challenge, the International Mouse Phenotyping Consortium is creating a genome- and phenome-wide catalog of gene function by characterizing new knockout-mouse strains across diverse biological systems through a broad set of standardized phenotyping tests. All mice will be readily available to the biomedical community. Analyzing the first 3,328 genes identified models for 360 diseases, including the first models, to our knowledge, for type C Bernard–Soulier, Bardet–Biedl-5 and Gordon Holmes syndromes. 90% of our phenotype annotations were novel, providing functional evidence for 1,092 genes and candidates in genetically uncharacterized diseases including arrhythmogenic right ventricular dysplasia 3. Finally, we describe our role in variant functional validation with The 100,000 Genomes Project and others.

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School affiliated with

  • School of Computer Science (Research Outputs)

Publication Title

Nature Genetics

Volume

49

Issue

8

Pages/Article Number

1231-1238

ISSN

1061-4036

Date Submitted

2019-04-17

Date Accepted

2017-05-25

Date of First Publication

2017-06-26

Date of Final Publication

2017-08-30

Date Document First Uploaded

2019-02-07

ePrints ID

34929

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    University of Lincoln (Research Outputs)

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