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.
Main Authors: | , , , , , , , , , , , , |
---|---|
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 |
id |
doaj-151023422b8a43e995162f958a228591 |
---|---|
record_format |
Article |
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 |
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_ |
1721449132322717696 |