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Institution

University of Würzburg

EducationWurzburg, Bayern, Germany
About: University of Würzburg is a education organization based out in Wurzburg, Bayern, Germany. It is known for research contribution in the topics: Population & CAS Registry Number. The organization has 31437 authors who have published 62203 publications receiving 2337033 citations. The organization is also known as: Julius-Maximilians-Universität Würzburg & Würzburg University.


Papers
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Journal ArticleDOI
TL;DR: PTCLs can be diagnosed reliably by experienced hematopathologists, but immunophenotyping is absolutely necessary, and an increased ability to distinguish T-lymphocyte subsets is needed in order to better subclassify the P TCLs for therapeutic and prognostic purposes.

418 citations

Journal ArticleDOI
TL;DR: Extensions of the conventions of the first SLHA are proposed to include various generalisations: the minimal supersymmetric standard model with violation of CP, R-parity, and flavour, as well as the simplest next-to-minimal model.

418 citations

Journal ArticleDOI
Fergus J. Couch1, Xianshu Wang1, Lesley McGuffog2, Andy C. H. Lee2  +258 moreInstitutions (100)
TL;DR: It is estimated that the breast cancer lifetime risks for the5% of BRCA1 carriers at lowest risk are 28%–50% compared to 81%–100% for the 5% at highest risk, and the ovarian cancer lifetime risk is 63% or higher, based on the known cancer risk-modifying loci.
Abstract: BRCA1-associated breast and ovarian cancer risks can be modified by common genetic variants. To identify further cancer risk-modifying loci, we performed a multi-stage GWAS of 11,705 BRCA1 carriers (of whom 5,920 were diagnosed with breast and 1,839 were diagnosed with ovarian cancer), with a further replication in an additional sample of 2,646 BRCA1 carriers. We identified a novel breast cancer risk modifier locus at 1q32 for BRCA1 carriers (rs2290854, P = 2.7 x 10(-8), HR = 1.14, 95% CI: 1.09-1.20). In addition, we identified two novel ovarian cancer risk modifier loci: 17q21.31 (rs17631303, P = 1.4 x 10(-8), HR = 1.27, 95% CI: 1.17-1.38) and 4q32.3 (rs4691139, P = 3.4 x 10(-8), HR = 1.20, 95% CI: 1.17-1.38). The 4q32.3 locus was not associated with ovarian cancer risk in the general population or BRCA2 carriers, suggesting a BRCA1-specific association. The 17q21.31 locus was also associated with ovarian cancer risk in 8,211 BRCA2 carriers (P = 2 x 10(-4)). These loci may lead to an improved understanding of the etiology of breast and ovarian tumors in BRCA1 carriers. Based on the joint distribution of the known BRCA1 breast cancer risk-modifying loci, we estimated that the breast cancer lifetime risks for the 5% of BRCA1 carriers at lowest risk are 28%-50% compared to 81%-100% for the 5% at highest risk. Similarly, based on the known ovarian cancer risk-modifying loci, the 5% of BRCA1 carriers at lowest risk have an estimated lifetime risk of developing ovarian cancer of 28% or lower, whereas the 5% at highest risk will have a risk of 63% or higher. Such differences in risk may have important implications for risk prediction and clinical management for BRCA1 carriers.

417 citations

Journal ArticleDOI
Georges Aad1, Georges Aad2, Brad Abbott2, Brad Abbott3  +5592 moreInstitutions (189)
TL;DR: The ATLAS trigger system as discussed by the authors selects events by rapidly identifying signatures of muon, electron, photon, tau lepton, jet, and B meson candidates, as well as using global event signatures, such as missing transverse energy.
Abstract: Proton-proton collisions at root s = 7 TeV and heavy ion collisions at root(NN)-N-s = 2.76 TeV were produced by the LHC and recorded using the ATLAS experiment's trigger system in 2010. The LHC is designed with a maximum bunch crossing rate of 40 MHz and the ATLAS trigger system is designed to record approximately 200 of these per second. The trigger system selects events by rapidly identifying signatures of muon, electron, photon, tau lepton, jet, and B meson candidates, as well as using global event signatures, such as missing transverse energy. An overview of the ATLAS trigger system, the evolution of the system during 2010 and the performance of the trigger system components and selections based on the 2010 collision data are shown. A brief outline of plans for the trigger system in 2011 is presented.

417 citations

Journal ArticleDOI
TL;DR: The relative contributions of explicitly measured attitudes and general restraint standards are investigated as two distinct, but complementing constructs that are dependent on control resources.
Abstract: Recent theories in social psychology suggest that explicitly measured attitudes are particularly valuable for the prediction of deliberate, controlled behaviour. In contrast, implicitly measured attitudes are assumed to be more important for the prediction of less controlled, more impulsive behaviour. Yet, conclusive evidence for the differential predictive validity of both measures is scarce. We hypothesized that limitations of different control resources would lead to functionally equivalent effects. In Study 1, cognitive capacity moderated the predictive validity of both explicit and implicit attitude measures in a choice task. Self-regulatory resources led to similar patterns for eating (Study 2) and drinking behaviour (Study 3). In addition to the predictive validity of implicit and explicit attitude measures, in Study 3 we more closely investigated the relative contributions of explicitly measured attitudes and general restraint standards as two distinct, but complementing constructs that are dependent on control resources.

417 citations


Authors

Showing all 31653 results

NameH-indexPapersCitations
Peer Bork206697245427
Cyrus Cooper2041869206782
D. M. Strom1763167194314
George P. Chrousos1691612120752
David A. Bennett1671142109844
Marc W. Kirschner162457102145
Josef M. Penninger154700107295
William A. Catterall15453683561
Rui Zhang1512625107917
Niels Birbaumer14283577853
Kim Nasmyth14229459231
James J. Gross139529100206
Michael Schmitt1342007114667
Jean-Luc Brédas134102685803
Alexander Schmidt134118583879
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023111
2022398
20212,960
20202,899
20192,714
20182,447