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.

Guardado en:

Detalles Bibliográficos
Autores principales:	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
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/151023422b8a43e995162f958a228591
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:151023422b8a43e995162f958a228591
record_format	dspace
spelling	oai:doaj.org-article:151023422b8a43e995162f958a2285912021-12-02T16:49:51ZProbability of phenotypically detectable protein damage by ENU-induced mutations in the Mutagenetix database10.1038/s41467-017-02806-42041-1723https://doaj.org/article/151023422b8a43e995162f958a2285912018-01-01T00:00:00Zhttps://doi.org/10.1038/s41467-017-02806-4https://doaj.org/toc/2041-1723Programs 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.Tao WangChun Hui BuSara HildebrandGaoxiang JiaOwen M. SiggsStephen LyonDavid PrattLindsay ScottJamie RussellSara LudwigAnne R. MurrayEva Marie Y. MorescoBruce BeutlerNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-10 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q 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
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.
format	article
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
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 Portfolio
publishDate	2018
url	https://doaj.org/article/151023422b8a43e995162f958a228591
work_keys_str_mv	AT taowang probabilityofphenotypicallydetectableproteindamagebyenuinducedmutationsinthemutagenetixdatabase AT chunhuibu probabilityofphenotypicallydetectableproteindamagebyenuinducedmutationsinthemutagenetixdatabase AT sarahildebrand probabilityofphenotypicallydetectableproteindamagebyenuinducedmutationsinthemutagenetixdatabase AT gaoxiangjia probabilityofphenotypicallydetectableproteindamagebyenuinducedmutationsinthemutagenetixdatabase AT owenmsiggs probabilityofphenotypicallydetectableproteindamagebyenuinducedmutationsinthemutagenetixdatabase AT stephenlyon probabilityofphenotypicallydetectableproteindamagebyenuinducedmutationsinthemutagenetixdatabase AT davidpratt probabilityofphenotypicallydetectableproteindamagebyenuinducedmutationsinthemutagenetixdatabase AT lindsayscott probabilityofphenotypicallydetectableproteindamagebyenuinducedmutationsinthemutagenetixdatabase AT jamierussell probabilityofphenotypicallydetectableproteindamagebyenuinducedmutationsinthemutagenetixdatabase AT saraludwig probabilityofphenotypicallydetectableproteindamagebyenuinducedmutationsinthemutagenetixdatabase AT annermurray probabilityofphenotypicallydetectableproteindamagebyenuinducedmutationsinthemutagenetixdatabase AT evamarieymoresco probabilityofphenotypicallydetectableproteindamagebyenuinducedmutationsinthemutagenetixdatabase AT brucebeutler probabilityofphenotypicallydetectableproteindamagebyenuinducedmutationsinthemutagenetixdatabase
_version_	1718383200127942656

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

Ejemplares similares