Anne E. Kwitek

Dr. Anne E. Kwitek

Department of Physiology, Medical College of Wisconsin, Milwaukee WI 53226, USA
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Research Focus & Metrics

Academic Career Length

37Years (1990-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 December 2020 in Nucleic Acids Research
Verified
Journal Article
Open access
PDF file
TCThe Gene Ontology Consortium
The Gene Ontology Consortium
SCSeth Carbon
Seth Carbon
EDEric Douglass
Eric Douglass
BGBenjamin M Good
Benjamin M Good
DUDeepak R Unni
Deepak R Unni
JEJustin Elser
Justin Elser
The Gene Ontology Consortium (GOC) provides the most comprehensive resource currently available for computable knowledge regarding the functions of genes and gene products. Here, we report the advances of the consortium over the past two years. The new GO-CAM annotation framework was notably improved, and we formalized the model with a computational schema to check and validate the rapidly increasing repository of 2838 GO-CAMs. In addition, we describe the impacts of several collaborations to refine GO and report a 10% increase in the number of GO annotations, a 25% increase in annotated gene products, and over 9,400 new scientific articles annotated. As the project matures, we continue our efforts to review older annotations in light of newer findings, and, to maintain consistency with other ontologies. As a result, 20 000 annotations derived from experimental data were reviewed, corresponding to 2.5% of experimental GO annotations. The website (http://geneontology.org) was redesigned for quick access to documentation, downloads and tools. To maintain an accurate resource and support traceability and reproducibility, we have made available a historical archive covering the past 15 years of GO data with a consistent format and file structure for both the ontology and annotations.

3 March 2023 in Genetics
Verified
Journal Article
Open access
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TCThe Gene Ontology Consortium
The Gene Ontology Consortium
SASuzi A Aleksander
Suzi A Aleksander
JBJames Balhoff
James Balhoff
SCSeth Carbon
Seth Carbon
JCJ Michael Cherry
J Michael Cherry
MWMonte Westerfield
Monte Westerfield
The Gene Ontology (GO) knowledgebase (http://geneontology.org) is a comprehensive resource concerning the functions of genes and gene products (proteins and noncoding RNAs). GO annotations cover genes from organisms across the tree of life as well as viruses, though most gene function knowledge currently derives from experiments carried out in a relatively small number of model organisms. Here, we provide an updated overview of the GO knowledgebase, as well as the efforts of the broad, international consortium of scientists that develops, maintains, and updates the GO knowledgebase. The GO knowledgebase consists of three components: (1) the GO—a computational knowledge structure describing the functional characteristics of genes; (2) GO annotations—evidence-supported statements asserting that a specific gene product has a particular functional characteristic; and (3) GO Causal Activity Models (GO-CAMs)—mechanistic models of molecular “pathways” (GO biological processes) created by linking multiple GO annotations using defined relations. Each of these components is continually expanded, revised, and updated in response to newly published discoveries and receives extensive QA checks, reviews, and user feedback. For each of these components, we provide a description of the current contents, recent developments to keep the knowledgebase up to date with new discoveries, and guidance on how users can best make use of the data that we provide. We conclude with future directions for the project.

1 May 1993 in Genomics
Verified
Journal Article
Closed access
VSVal C. Sheffield
Val C. Sheffield
JBJohn S. Beck
John S. Beck
Anne E. KwitekAnne E. Kwitek
Anne E. Kwitek
DSDirk W. Sandstrom
Dirk W. Sandstrom
ESEdwin M. Stone
Edwin M. Stone

28 April 2008 in Nature Genetics
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Journal Article
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TATimothy J Aitman
Timothy J Aitman
JCJohn K Critser
John K Critser
ECEdwin Cuppen
Edwin Cuppen
ADAnna Dominiczak
Anna Dominiczak
XFXose M Fernandez
Xose M Fernandez
KWKim Worley
Kim Worley

1 January 2002 in Nature Reviews Genetics
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Journal Article
Closed access
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HJHoward J. Jacob
Howard J. Jacob
Anne E. KwitekAnne E. Kwitek
Anne E. Kwitek

1 July 2002 in Genome Research
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AMArmand J. MacMurray
Armand J. MacMurray
DMDaniel H. Moralejo
Daniel H. Moralejo
Anne E. KwitekAnne E. Kwitek
Anne E. Kwitek
ERElizabeth A. Rutledge
Elizabeth A. Rutledge
BYBrian Van Yserloo
Brian Van Yserloo
ÅLÅke Lernmark
Åke Lernmark
The BB (BioBreeding) rat is one of the best models of spontaneous autoimmune diabetes and is used to study non-MHC loci contributing to Type 1 diabetes. Type 1 diabetes in the diabetes-prone BB (BBDP) rat is polygenic, dependent upon mutations at several loci.Iddm1, on chromosome 4, is responsible for a lymphopenia (lyp) phenotype and is essential to diabetes. In this study, we report the positional cloning of theIddm1/lyplocus. We show that lymphopenia is due to a frameshift deletion in a novel member (Ian5) of the Immune-Associated Nucleotide (IAN)-related gene family, resulting in truncation of a significant portion of the protein. This mutation was absent in 37 other inbred rat strains that are nonlymphopenic and nondiabetic. The IAN gene family, lying within a tight cluster on rat chromosome 4, mouse chromosome 6, and human chromosome 7, is poorly characterized. Some members of the family have been shown to be expressed in mature T cells and switched on during thymic T-cell development, suggesting thatIan5may be a key factor in T-cell development. The lymphopenia mutation may thus be useful not only to elucidate Type 1 diabetes, but also in the function of theIangene family as a whole.[Sequence data reported in this paper has been deposited in GenBank and assigned the following accession nos:AF517674,AF517675,AF517676, andAF517677. Supplemental material is available online athttp://depts.washington.edu/rhwlab/and http:www.genome.org. ] The following individuals and institutions kindly provided reagents, samples, or unpublished information as indicated in the paper: K. Matsumoto and the Sir Frederick Banting Research Centre.