Probability of phenotypically detectable protein damage by ENU-induced mutations in the Mutagenetix database

Programs such as PolyPhen-2 predict the relative severity of damage by missense mutations. Here, Wang et al estimate probabilities that putative null or missense alleles would reduce protein function to cause detectable phenotype by analyzing data from ENU-induced mouse mutations.

Bibliographic Details
Main Authors:	Tao Wang, Chun Hui Bu, Sara Hildebrand, Gaoxiang Jia, Owen M. Siggs, Stephen Lyon, David Pratt, Lindsay Scott, Jamie Russell, Sara Ludwig, Anne R. Murray, Eva Marie Y. Moresco, Bruce Beutler
Format:	Article
Language:	English
Published:	Nature Publishing Group 2018-01-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/s41467-017-02806-4

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spelling	doaj-151023422b8a43e995162f958a2285912021-05-11T09:47:14ZengNature Publishing GroupNature Communications2041-17232018-01-019111010.1038/s41467-017-02806-4Probability of phenotypically detectable protein damage by ENU-induced mutations in the Mutagenetix databaseTao Wang0Chun Hui Bu1Sara Hildebrand2Gaoxiang Jia3Owen M. Siggs4Stephen Lyon5David Pratt6Lindsay Scott7Jamie Russell8Sara Ludwig9Anne R. Murray10Eva Marie Y. Moresco11Bruce Beutler12Center for the Genetics of Host Defense, University of Texas Southwestern Medical CenterCenter for the Genetics of Host Defense, University of Texas Southwestern Medical CenterCenter for the Genetics of Host Defense, University of Texas Southwestern Medical CenterQuantitative Biomedical Research Center, Department of Clinical Science, University of Texas Southwestern Medical CenterImmunology Division, Garvan Institute for Medical ResearchCenter for the Genetics of Host Defense, University of Texas Southwestern Medical CenterCenter for the Genetics of Host Defense, University of Texas Southwestern Medical CenterCenter for the Genetics of Host Defense, University of Texas Southwestern Medical CenterCenter for the Genetics of Host Defense, University of Texas Southwestern Medical CenterCenter for the Genetics of Host Defense, University of Texas Southwestern Medical CenterCenter for the Genetics of Host Defense, University of Texas Southwestern Medical CenterCenter for the Genetics of Host Defense, University of Texas Southwestern Medical CenterCenter for the Genetics of Host Defense, University of Texas Southwestern Medical CenterPrograms such as PolyPhen-2 predict the relative severity of damage by missense mutations. Here, Wang et al estimate probabilities that putative null or missense alleles would reduce protein function to cause detectable phenotype by analyzing data from ENU-induced mouse mutations.https://doi.org/10.1038/s41467-017-02806-4
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Tao Wang Chun Hui Bu Sara Hildebrand Gaoxiang Jia Owen M. Siggs Stephen Lyon David Pratt Lindsay Scott Jamie Russell Sara Ludwig Anne R. Murray Eva Marie Y. Moresco Bruce Beutler
spellingShingle	Tao Wang Chun Hui Bu Sara Hildebrand Gaoxiang Jia Owen M. Siggs Stephen Lyon David Pratt Lindsay Scott Jamie Russell Sara Ludwig Anne R. Murray Eva Marie Y. Moresco Bruce Beutler Probability of phenotypically detectable protein damage by ENU-induced mutations in the Mutagenetix database Nature Communications
author_facet	Tao Wang Chun Hui Bu Sara Hildebrand Gaoxiang Jia Owen M. Siggs Stephen Lyon David Pratt Lindsay Scott Jamie Russell Sara Ludwig Anne R. Murray Eva Marie Y. Moresco Bruce Beutler
author_sort	Tao Wang
title	Probability of phenotypically detectable protein damage by ENU-induced mutations in the Mutagenetix database
title_short	Probability of phenotypically detectable protein damage by ENU-induced mutations in the Mutagenetix database
title_full	Probability of phenotypically detectable protein damage by ENU-induced mutations in the Mutagenetix database
title_fullStr	Probability of phenotypically detectable protein damage by ENU-induced mutations in the Mutagenetix database
title_full_unstemmed	Probability of phenotypically detectable protein damage by ENU-induced mutations in the Mutagenetix database
title_sort	probability of phenotypically detectable protein damage by enu-induced mutations in the mutagenetix database
publisher	Nature Publishing Group
series	Nature Communications
issn	2041-1723
publishDate	2018-01-01
description	Programs such as PolyPhen-2 predict the relative severity of damage by missense mutations. Here, Wang et al estimate probabilities that putative null or missense alleles would reduce protein function to cause detectable phenotype by analyzing data from ENU-induced mouse mutations.
url	https://doi.org/10.1038/s41467-017-02806-4
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Probability of phenotypically detectable protein damage by ENU-induced mutations in the Mutagenetix database

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