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Institution

Fred Hutchinson Cancer Research Center

NonprofitCape Town, South Africa
About: Fred Hutchinson Cancer Research Center is a nonprofit organization based out in Cape Town, South Africa. It is known for research contribution in the topics: Population & Transplantation. The organization has 12322 authors who have published 30954 publications receiving 2288772 citations. The organization is also known as: Fred Hutch & The Hutch.


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Journal ArticleDOI
15 Oct 2005-Blood
TL;DR: The new simple index provided valid and reliable scoring of pretransplant comorbidities that predicted nonrelapse mortality and survival and will be useful for clinical trials and patient counseling before HCT.

2,193 citations

Journal ArticleDOI
TL;DR: This work proposes summarizing the discrimination potential of a marker X, measured at baseline (t = 0), by calculating ROC curves for cumulative disease or death incidence by time t, which is presented as ROC(t), and presents an example where ROC (t) is used to compare a standard and a modified flow cytometry measurement for predicting survival after detection of breast cancer.
Abstract: ROC curves are a popular method for displaying sensitivity and specificity of a continuous diagnostic marker, X, for a binary disease variable, D. However, many disease outcomes are time dependent, D(t), and ROC curves that vary as a function of time may be more appropriate. A common example of a time-dependent variable is vital status, where D(t) = 1 if a patient has died prior to time t and zero otherwise. We propose summarizing the discrimination potential of a marker X, measured at baseline (t = 0), by calculating ROC curves for cumulative disease or death incidence by time t, which we denote as ROC(t). A typical complexity with survival data is that observations may be censored. Two ROC curve estimators are proposed that can accommodate censored data. A simple estimator is based on using the Kaplan-Meier estimator for each possible subset X > c. However, this estimator does not guarantee the necessary condition that sensitivity and specificity are monotone in X. An alternative estimator that does guarantee monotonicity is based on a nearest neighbor estimator for the bivariate distribution function of (X, T), where T represents survival time (Akritas, M. J., 1994, Annals of Statistics 22, 1299-1327). We present an example where ROC(t) is used to compare a standard and a modified flow cytometry measurement for predicting survival after detection of breast cancer and an example where the ROC(t) curve displays the impact of modifying eligibility criteria for sample size and power in HIV prevention trials.

2,177 citations

Journal ArticleDOI
Shane A. McCarthy1, Sayantan Das2, Warren W. Kretzschmar3, Olivier Delaneau4, Andrew R. Wood5, Alexander Teumer6, Hyun Min Kang2, Christian Fuchsberger2, Petr Danecek1, Kevin Sharp3, Yang Luo1, C Sidore7, Alan Kwong2, Nicholas J. Timpson8, Seppo Koskinen, Scott I. Vrieze9, Laura J. Scott2, He Zhang2, Anubha Mahajan3, Jan H. Veldink, Ulrike Peters10, Ulrike Peters11, Carlos N. Pato12, Cornelia M. van Duijn13, Christopher E. Gillies2, Ilaria Gandin14, Massimo Mezzavilla, Arthur Gilly1, Massimiliano Cocca14, Michela Traglia, Andrea Angius7, Jeffrey C. Barrett1, D.I. Boomsma15, Kari Branham2, Gerome Breen16, Gerome Breen17, Chad M. Brummett2, Fabio Busonero7, Harry Campbell18, Andrew T. Chan19, Sai Chen2, Emily Y. Chew20, Francis S. Collins20, Laura J Corbin8, George Davey Smith8, George Dedoussis21, Marcus Dörr6, Aliki-Eleni Farmaki21, Luigi Ferrucci20, Lukas Forer22, Ross M. Fraser2, Stacey Gabriel23, Shawn Levy, Leif Groop24, Leif Groop25, Tabitha A. Harrison11, Andrew T. Hattersley5, Oddgeir L. Holmen26, Kristian Hveem26, Matthias Kretzler2, James Lee27, Matt McGue28, Thomas Meitinger29, David Melzer5, Josine L. Min8, Karen L. Mohlke30, John B. Vincent31, Matthias Nauck6, Deborah A. Nickerson10, Aarno Palotie19, Aarno Palotie23, Michele T. Pato12, Nicola Pirastu14, Melvin G. McInnis2, J. Brent Richards16, J. Brent Richards32, Cinzia Sala, Veikko Salomaa, David Schlessinger20, Sebastian Schoenherr22, P. Eline Slagboom33, Kerrin S. Small16, Tim D. Spector16, Dwight Stambolian34, Marcus A. Tuke5, Jaakko Tuomilehto, Leonard H. van den Berg, Wouter van Rheenen, Uwe Völker6, Cisca Wijmenga35, Daniela Toniolo, Eleftheria Zeggini1, Paolo Gasparini14, Matthew G. Sampson2, James F. Wilson18, Timothy M. Frayling5, Paul I.W. de Bakker36, Morris A. Swertz35, Steven A. McCarroll19, Charles Kooperberg11, Annelot M. Dekker, David Altshuler, Cristen J. Willer2, William G. Iacono28, Samuli Ripatti25, Nicole Soranzo27, Nicole Soranzo1, Klaudia Walter1, Anand Swaroop20, Francesco Cucca7, Carl A. Anderson1, Richard M. Myers, Michael Boehnke2, Mark I. McCarthy37, Mark I. McCarthy3, Richard Durbin1, Gonçalo R. Abecasis2, Jonathan Marchini3 
TL;DR: A reference panel of 64,976 human haplotypes at 39,235,157 SNPs constructed using whole-genome sequence data from 20 studies of predominantly European ancestry leads to accurate genotype imputation at minor allele frequencies as low as 0.1% and a large increase in the number of SNPs tested in association studies.
Abstract: We describe a reference panel of 64,976 human haplotypes at 39,235,157 SNPs constructed using whole-genome sequence data from 20 studies of predominantly European ancestry. Using this resource leads to accurate genotype imputation at minor allele frequencies as low as 0.1% and a large increase in the number of SNPs tested in association studies, and it can help to discover and refine causal loci. We describe remote server resources that allow researchers to carry out imputation and phasing consistently and efficiently.

2,149 citations

Journal ArticleDOI
TL;DR: During the first 3 weeks of the Covid-19 outbreak in the Seattle area, the most common reasons for admission to the ICU were hypoxemic respiratory failure leading to mechanical ventilation, hypotension requiring vasopressor treatment, or both.
Abstract: Background Community transmission of coronavirus 2019 (Covid-19) was detected in the state of Washington in February 2020. Methods We identified patients from nine Seattle-area hospitals w...

2,119 citations

Journal Article
TL;DR: A set of murine retrovirus-based vectors that include unique cloning sites for insertion of cDNAs such that the cDNA can be driven by either the retroviral long terminal repeat, the immediate early promoter of human cytomegalovirus, or the simian virus 40 early promoter are described.
Abstract: We describe a set of murine retrovirus-based vectors that include unique cloning sites for insertion of cDNAs such that the cDNA can be driven by either the retroviral long terminal repeat, the immediate early promoter of human cytomegalovirus, or the simian virus 40 early promoter The vectors carry the neomycin phosphotransferase gene expressed from an alternate promoter as a selectable marker These vectors have been constructed to prevent viral protein synthesis from the remaining viral sequences, to yield high-titer virus stocks after introduction into retrovirus packaging cells, and to eliminate homologous overlap with viral DNAs present in retrovirus packaging cells in order to prevent helper virus production Methods for generating high-titer virus are described

2,090 citations


Authors

Showing all 12368 results

NameH-indexPapersCitations
Walter C. Willett3342399413322
Robert Langer2812324326306
Meir J. Stampfer2771414283776
JoAnn E. Manson2701819258509
David J. Hunter2131836207050
Peer Bork206697245427
Eric Boerwinkle1831321170971
Ruedi Aebersold182879141881
Bruce M. Psaty1811205138244
Aaron R. Folsom1811118134044
David Baker1731226109377
Frederick W. Alt17157795573
Lily Yeh Jan16246773655
Yuh Nung Jan16246074818
Charles N. Serhan15872884810
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20237
202275
20211,981
20201,995
20191,685
20181,571