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Institution

University of Wisconsin-Madison

EducationMadison, Wisconsin, United States
About: University of Wisconsin-Madison is a education organization based out in Madison, Wisconsin, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 108707 authors who have published 237594 publications receiving 11883575 citations.
Topics: Population, Poison control, Gene, Health care, Galaxy


Papers
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Journal ArticleDOI
26 Jan 2016-JAMA
TL;DR: Screening for depression in the general adult population, including pregnant and postpartum women, should be implemented with adequate systems in place to ensure accurate diagnosis, effective treatment, and appropriate follow-up.
Abstract: Description Update of the 2009 US Preventive Services Task Force (USPSTF) recommendation on screening for depression in adults. Methods The USPSTF reviewed the evidence on the benefits and harms of screening for depression in adult populations, including older adults and pregnant and postpartum women; the accuracy of depression screening instruments; and the benefits and harms of depression treatment in these populations. Population This recommendation applies to adults 18 years and older. Recommendation The USPSTF recommends screening for depression in the general adult population, including pregnant and postpartum women. Screening should be implemented with adequate systems in place to ensure accurate diagnosis, effective treatment, and appropriate follow-up. (B recommendation)

1,040 citations

Journal ArticleDOI
20 Aug 2009-Nature
TL;DR: It is shown that CA04 is sensitive to approved and experimental antiviral drugs, suggesting that these compounds could function as a first line of defence against the recently declared S-OIV pandemic.
Abstract: Influenza A viruses cause recurrent outbreaks at local or global scale with potentially severe consequences for human health and the global economy. Recently, a new strain of influenza A virus was detected that causes disease in and transmits among humans, probably owing to little or no pre-existing immunity to the new strain. On 11 June 2009 the World Health Organization declared that the infections caused by the new strain had reached pandemic proportion. Characterized as an influenza A virus of the H1N1 subtype, the genomic segments of the new strain were most closely related to swine viruses. Most human infections with swine-origin H1N1 influenza viruses (S-OIVs) seem to be mild; however, a substantial number of hospitalized individuals do not have underlying health issues, attesting to the pathogenic potential of S-OIVs. To achieve a better assessment of the risk posed by the new virus, we characterized one of the first US S-OIV isolates, A/California/04/09 (H1N1; hereafter referred to as CA04), as well as several other S-OIV isolates, in vitro and in vivo. In mice and ferrets, CA04 and other S-OIV isolates tested replicate more efficiently than a currently circulating human H1N1 virus. In addition, CA04 replicates efficiently in non-human primates, causes more severe pathological lesions in the lungs of infected mice, ferrets and non-human primates than a currently circulating human H1N1 virus, and transmits among ferrets. In specific-pathogen-free miniature pigs, CA04 replicates without clinical symptoms. The assessment of human sera from different age groups suggests that infection with human H1N1 viruses antigenically closely related to viruses circulating in 1918 confers neutralizing antibody activity to CA04. Finally, we show that CA04 is sensitive to approved and experimental antiviral drugs, suggesting that these compounds could function as a first line of defence against the recently declared S-OIV pandemic.

1,040 citations

Journal ArticleDOI
TL;DR: In this article, the authors examined a class of continuous-time models that incorporate jumps in returns and volatility, in addition to diffusive stochastic volatility, and developed a likelihood-based estimation strategy and provided estimates of model parameters, spot volatility, jump times and jump sizes using both S&P 500 and Nasdaq 100 index returns.
Abstract: This paper examines a class of continuous-time models that incorporate jumps in returns and volatility, in addition to diffusive stochastic volatility. We develop a likelihood-based estimation strategy and provide estimates of model parameters, spot volatility, jump times and jump sizes using both S&P 500 and Nasdaq 100 index returns. Estimates of jumps times, jump sizes and volatility are particularly useful for disentangling the dynamic effects of these factors during periods of market stress, such as those in 1987, 1997 and 1998. Using both formal and informal diagnostics, we find strong evidence for jumps in volatility, even after accounting for jumps in returns. We use implied volatility curves computed from option prices to judge the economic differences between the models. Finally, we evaluate the impact of estimation risk on option prices and find that the uncertainty in estimating the parameters and the spot volatility has important, though very different, effects on option prices.

1,040 citations

Journal ArticleDOI
30 Jul 1999-Science
TL;DR: Transplantation in a rat model of a human myelin disease shows that ES cell-derived precursors interact with host neurons and efficiently myelinate axons in brain and spinal cord.
Abstract: Self-renewing, totipotent embryonic stem (ES) cells may provide a virtually unlimited donor source for transplantation. A protocol that permits the in vitro generation of precursors for oligodendrocytes and astrocytes from ES cells was devised. Transplantation in a rat model of a human myelin disease shows that these ES cell-derived precursors interact with host neurons and efficiently myelinate axons in brain and spinal cord. Thus, ES cells can serve as a valuable source of cell type-specific somatic precursors for neural transplantation.

1,040 citations

Journal ArticleDOI
Gary A. Churchill, David C. Airey1, Hooman Allayee2, Joe M. Angel3, Alan D. Attie4, Jackson Beatty5, Willam D. Beavis6, John K. Belknap7, Beth Bennett8, Wade H. Berrettini9, André Bleich10, Molly A. Bogue, Karl W. Broman11, Kari J. Buck12, Edward S. Buckler13, Margit Burmeister14, Elissa J. Chesler15, James M. Cheverud16, Steven J. Clapcote17, Melloni N. Cook18, Roger D. Cox19, John C. Crabbe12, Wim E. Crusio20, Ariel Darvasi21, Christian F. Deschepper22, Rebecca W. Doerge23, Charles R. Farber24, Jiri Forejt25, Daniel Gaile26, Steven J. Garlow27, Hartmut Geiger28, Howard K. Gershenfeld29, Terry Gordon30, Jing Gu15, Weikuan Gu15, Gerald de Haan31, Nancy L. Hayes32, Craig Heller33, Heinz Himmelbauer34, Robert Hitzemann12, Kent W. Hunter35, Hui-Chen Hsu36, Fuad A. Iraqi37, Boris Ivandic38, Howard J. Jacob39, Ritsert C. Jansen31, Karl J. Jepsen40, Dabney K. Johnson41, Thomas E. Johnson8, Gerd Kempermann42, Christina Kendziorski4, Malak Kotb15, R. Frank Kooy43, Bastien Llamas22, Frank Lammert44, J. M. Lassalle45, Pedro R. Lowenstein5, Lu Lu15, Aldons J. Lusis5, Kenneth F. Manly15, Ralph S. Marcucio46, Doug Matthews18, Juan F. Medrano24, Darla R. Miller41, Guy Mittleman18, Beverly A. Mock35, Jeffrey S. Mogil47, Xavier Montagutelli48, Grant Morahan49, David G. Morris50, Richard Mott51, Joseph H. Nadeau52, Hiroki Nagase53, Richard S. Nowakowski32, Bruce F. O'Hara54, Alexander V. Osadchuk, Grier P. Page36, Beverly Paigen, Kenneth Paigen, Abraham A. Palmer, Huei Ju Pan, Leena Peltonen-Palotie55, Leena Peltonen-Palotie5, Jeremy L. Peirce15, Daniel Pomp56, Michal Pravenec25, Daniel R. Prows28, Zonghua Qi1, Roger H. Reeves11, John C. Roder17, Glenn D. Rosen57, Eric E. Schadt58, Leonard C. Schalkwyk59, Ze'ev Seltzer17, Kazuhiro Shimomura60, Siming Shou61, Mikko J. Sillanpää55, Linda D. Siracusa62, Hans-Willem Snoeck40, Jimmy L. Spearow24, Karen L. Svenson, Lisa M. Tarantino63, David W. Threadgill64, Linda A. Toth65, William Valdar51, Fernando Pardo-Manuel de Villena64, Craig H Warden24, Steve Whatley59, Robert W. Williams15, Tom Wiltshire63, Nengjun Yi36, Dabao Zhang66, Min Zhang13, Fei Zou64 
Vanderbilt University1, University of Southern California2, University of Texas MD Anderson Cancer Center3, University of Wisconsin-Madison4, University of California, Los Angeles5, National Center for Genome Resources6, Portland VA Medical Center7, University of Colorado Boulder8, University of Pennsylvania9, Hannover Medical School10, Johns Hopkins University11, Oregon Health & Science University12, Cornell University13, University of Michigan14, University of Tennessee Health Science Center15, Washington University in St. Louis16, University of Toronto17, University of Memphis18, Medical Research Council19, University of Massachusetts Medical School20, Hebrew University of Jerusalem21, Université de Montréal22, Purdue University23, University of California, Davis24, Academy of Sciences of the Czech Republic25, University at Buffalo26, Emory University27, University of Cincinnati28, University of Texas Southwestern Medical Center29, New York University30, University of Groningen31, Rutgers University32, Stanford University33, Max Planck Society34, National Institutes of Health35, University of Alabama at Birmingham36, International Livestock Research Institute37, Heidelberg University38, Medical College of Wisconsin39, Icahn School of Medicine at Mount Sinai40, Oak Ridge National Laboratory41, Charité42, University of Antwerp43, RWTH Aachen University44, Paul Sabatier University45, University of California, San Francisco46, McGill University47, Pasteur Institute48, University of Western Australia49, Yale University50, University of Oxford51, Case Western Reserve University52, Roswell Park Cancer Institute53, University of Kentucky54, University of Helsinki55, University of Nebraska–Lincoln56, Harvard University57, Merck & Co.58, King's College London59, Northwestern University60, Shriners Hospitals for Children61, Thomas Jefferson University62, Novartis63, University of North Carolina at Chapel Hill64, Southern Illinois University Carbondale65, University of Rochester66
TL;DR: The Collaborative Cross will provide a common reference panel specifically designed for the integrative analysis of complex systems and will change the way the authors approach human health and disease.
Abstract: The goal of the Complex Trait Consortium is to promote the development of resources that can be used to understand, treat and ultimately prevent pervasive human diseases. Existing and proposed mouse resources that are optimized to study the actions of isolated genetic loci on a fixed background are less effective for studying intact polygenic networks and interactions among genes, environments, pathogens and other factors. The Collaborative Cross will provide a common reference panel specifically designed for the integrative analysis of complex systems and will change the way we approach human health and disease.

1,040 citations


Authors

Showing all 109671 results

NameH-indexPapersCitations
Eric S. Lander301826525976
Ronald C. Kessler2741332328983
Gordon H. Guyatt2311620228631
Yi Chen2174342293080
David Miller2032573204840
Robert M. Califf1961561167961
Ronald Klein1941305149140
Joan Massagué189408149951
Jens K. Nørskov184706146151
Terrie E. Moffitt182594150609
H. S. Chen1792401178529
Ramachandran S. Vasan1721100138108
Masayuki Yamamoto1711576123028
Avshalom Caspi170524113583
Jiawei Han1681233143427
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023333
20221,390
202110,148
20209,483
20199,278
20188,546