scispace - formally typeset
Search or ask a question
Institution

University of Düsseldorf

EducationDüsseldorf, Germany
About: University of Düsseldorf is a education organization based out in Düsseldorf, Germany. It is known for research contribution in the topics: Population & Diabetes mellitus. The organization has 25225 authors who have published 49155 publications receiving 1946434 citations.


Papers
More filters
Journal ArticleDOI
Nasim Mavaddat1, Daniel Barrowdale1, Irene L. Andrulis2, Susan M. Domchek3, Diana Eccles4, Heli Nevanlinna5, Susan J. Ramus6, Amanda B. Spurdle7, Mark E. Robson8, Mark E. Sherman9, Anna Marie Mulligan2, Fergus J. Couch10, Christoph Engel11, Lesley McGuffog1, Sue Healey7, Olga M. Sinilnikova12, Melissa C. Southey13, Mary Beth Terry8, David E. Goldgar14, Frances P. O'Malley2, Esther M. John15, Ramunas Janavicius16, Laima Tihomirova17, Thomas Hansen18, Finn Cilius Nielsen18, Ana Osorio, Alexandra V. Stavropoulou, Javier Benitez19, Siranoush Manoukian, Bernard Peissel, Monica Barile, Sara Volorio, Barbara Pasini20, Riccardo Dolcetti, Anna Laura Putignano21, Laura Ottini22, Paolo Radice, Ute Hamann23, Muhammad Usman Rashid24, Frans B. L. Hogervorst, Mieke Kriege25, Rob B. van der Luijt26, Susan Peock1, Debra Frost1, D. Gareth Evans, Carole Brewer27, Lisa Walker28, Mark T. Rogers29, Lucy Side30, C. E. Houghton, Jo Ellen Weaver31, Andrew K. Godwin32, Rita K. Schmutzler33, Barbara Wappenschmidt33, Alfons Meindl34, Karin Kast35, Norbert Arnold36, Dieter Niederacher37, Christian Sutter38, Helmut Deissler39, Doroteha Gadzicki40, Sabine Preisler-Adams41, Raymonda Varon-Mateeva42, Ines Schönbuchner43, Heidrun Gevensleben, Dominique Stoppa-Lyonnet44, Muriel Belotti, Laure Barjhoux12, Claudine Isaacs45, Beth N. Peshkin45, Trinidad Caldés19, Miguel De Al Hoya, Carmen Cañadas, Tuomas Heikkinen5, Päivi Heikkilä5, Kristiina Aittomäki5, Ignacio Blanco, Conxi Lázaro, Joan Brunet, Bjarni A. Agnarsson, Adalgeir Arason, Rosa B. Barkardottir, Martine Dumont46, Jacques Simard46, Marco Montagna, Simona Agata, Emma D'Andrea47, Max Yan, Stephen B. Fox48, Timothy R. Rebbeck, Wendy S. Rubinstein49, Nadine Tung, Judy Garber50, Xianshu Wang10, Zachary S. Fredericksen10, Vernon S. Pankratz10, Noralane M. Lindor10, Csilla Szabo51, Kenneth Offit8, Rita A. Sakr8, Mia M. Gaudet52, Christian F. Singer53, Muy Kheng Tea53, Christine Rappaport53, Phuong L. Mai9, Mark H. Greene9, Anna P. Sokolenko, Evgeny N. Imyanitov, Amanda E. Toland54, Leigha Senter54, Kevin Sweet54, Mads Thomassen55, Anne-Marie Gerdes18, Torben A Kruse55, Maria A. Caligo56, Paolo Aretini56, Johanna Rantala57, Anna Von Wachenfeld57, Karin M. Henriksson58, Linda Steele59, Susan L. Neuhausen59, Robert L. Nussbaum60, Mary S. Beattie60, Kunle Odunsi61, Lara Sucheston61, Simon A. Gayther6, Katherine L. Nathanson3, Jenny Gross62, Christine Walsh62, Beth Y. Karlan62, Georgia Chenevix-Trench7, Douglas F. Easton1, Antonis C. Antoniou1 
University of Cambridge1, University of Toronto2, University of Pennsylvania3, University of Southampton4, University of Helsinki5, University of Southern California6, QIMR Berghofer Medical Research Institute7, Columbia University8, National Institutes of Health9, Mayo Clinic10, Leipzig University11, Claude Bernard University Lyon 112, University of Melbourne13, University of Utah14, Cancer Prevention Institute of California15, Vilnius University16, University of Latvia17, University of Copenhagen18, Complutense University of Madrid19, University of Turin20, University of Florence21, Sapienza University of Rome22, German Cancer Research Center23, Memorial Hospital of South Bend24, Erasmus University Rotterdam25, Utrecht University26, Royal Devon and Exeter Hospital27, Churchill Hospital28, University Hospital of Wales29, University College London30, Fox Chase Cancer Center31, University of Kansas32, University of Cologne33, Technische Universität München34, Dresden University of Technology35, University of Kiel36, University of Düsseldorf37, Heidelberg University38, University of Ulm39, Hannover Medical School40, University of Münster41, Charité42, University of Würzburg43, University of Paris44, Georgetown University45, Laval University46, University of Padua47, Peter MacCallum Cancer Centre48, University of Chicago49, Harvard University50, University of Delaware51, American Cancer Society52, Medical University of Vienna53, Ohio State University54, University of Southern Denmark55, University of Pisa56, Karolinska Institutet57, Lund University58, City of Hope National Medical Center59, University of California, San Francisco60, Roswell Park Cancer Institute61, Cedars-Sinai Medical Center62
TL;DR: Pathologic characteristics of BRCA1 and BRCa2 tumors may be useful for improving risk-prediction algorithms and informing clinical strategies for screening and prophylaxis.
Abstract: BACKGROUND: Previously, small studies have found that BRCA1 and BRCA2 breast tumors differ in their pathology. Analysis of larger datasets of mutation carriers should allow further tumor characterization.METHODS: We used data from 4,325 BRCA1 and 2,568 BRCA2 mutation carriers to analyze the pathology of invasive breast, ovarian, and contralateral breast cancers.RESULTS: There was strong evidence that the proportion of estrogen receptor (ER)-negative breast tumors decreased with age at diagnosis among BRCA1 (P-trend = 1.2 × 10(-5)), but increased with age at diagnosis among BRCA2, carriers (P-trend = 6.8 × 10(-6)). The proportion of triple-negative tumors decreased with age at diagnosis in BRCA1 carriers but increased with age at diagnosis of BRCA2 carriers. In both BRCA1 and BRCA2 carriers, ER-negative tumors were of higher histologic grade than ER-positive tumors (grade 3 vs. grade 1; P = 1.2 × 10(-13) for BRCA1 and P = 0.001 for BRCA2). ER and progesterone receptor (PR) expression were independently associated with mutation carrier status [ER-positive odds ratio (OR) for BRCA2 = 9.4, 95% CI: 7.0-12.6 and PR-positive OR = 1.7, 95% CI: 1.3-2.3, under joint analysis]. Lobular tumors were more likely to be BRCA2-related (OR for BRCA2 = 3.3, 95% CI: 2.4-4.4; P = 4.4 × 10(-14)), and medullary tumors BRCA1-related (OR for BRCA2 = 0.25, 95% CI: 0.18-0.35; P = 2.3 × 10(-15)). ER-status of the first breast cancer was predictive of ER-status of asynchronous contralateral breast cancer (P = 0.0004 for BRCA1; P = 0.002 for BRCA2). There were no significant differences in ovarian cancer morphology between BRCA1 and BRCA2 carriers (serous: 67%; mucinous: 1%; endometrioid: 12%; clear-cell: 2%).Conclusions/Impact: Pathologic characteristics of BRCA1 and BRCA2 tumors may be useful for improving risk-prediction algorithms and informing clinical strategies for screening and prophylaxis. Cancer Epidemiol Biomarkers Prev; 1-14. ©2011 AACR.

514 citations

Journal ArticleDOI
TL;DR: Five most effective oils were evaluated against the yellow fever mosquito, Aedes aegypti (Linnaeus), the malaria vector, Anopheles stephensi (Liston), and the filariasis and encephalitis vector, Culex quinquefasciatus (Say) (Diptera: Culicidae) using the skin of human volunteers to find out the protection time and repellency.
Abstract: Since ancient times, plant products were used in various aspects. However, their use against pests decreased when chemical products became developed. Recently, concerns increased with respect to public health and environmental security requiring detection of natural products that may be used against insect pests. In this study, 41 plant extracts and 11 oil mixtures were evaluated against the yellow fever mosquito, Aedes aegypti (Linnaeus), the malaria vector, Anopheles stephensi (Liston), and the filariasis and encephalitis vector, Culex quinquefasciatus (Say) (Diptera: Culicidae) using the skin of human volunteers to find out the protection time and repellency. The five most effective oils were those of Litsea (Litsea cubeba), Cajeput (Melaleuca leucadendron), Niaouli (Melaleuca quinquenervia), Violet (Viola odorata), and Catnip (Nepeta cataria), which induced a protection time of 8 h at the maximum and a 100% repellency against all three species. This effect needs, however, a peculiar formulation to fix them on the human skin.

514 citations

Journal ArticleDOI
TL;DR: A significant number of subjects did not obtain saliva samples reliably in an ambulatory setting and can partially invalidate the cortisol results and mask potential differences between subject groups of interest.
Abstract: Objective Ambulatory saliva collections for subsequent analysis of free cortisol levels are now frequently applied to measure adrenocortical activity in healthy subjects and patient populations. Despite the prime importance of accurate timing of saliva collection outside the laboratory, no data are available on the compliance of study participants following a given sampling protocol. This study investigated how accurately subjects adhered to the instructions to collect six saliva samples throughout 1 day. Methods Subjects were instructed to collect six saliva samples throughout 1 day (directly after awakening, 30 minutes after awakening, 11 AM, 3 PM, 8 PM, 10 PM). Objective compliance was measured using an electronic monitoring device given to the subjects either with ("informed" N = 23) or without ("noninformed" N = 24) their knowledge of the nature of the device. Data on subjective compliance were obtained by self-report. Results Thirty-one subjects (74%) were found to comply with the sampling instructions, and 11 (26%) failed at least once to obtain the saliva sample at the correct time of day. Nine of the 11 noncompliant subjects (82%) had two or more noncompliant samples. Fifty-five percent (6 of 11) of the noncompliant subjects took sample 2 outside the sampling window. The circadian cortisol profile differed significantly between compliant and noncompliant subjects (F = 7.98, p =.007). The most important effect of compliance was seen in the rise of cortisol at awakening. Compliant subjects showed a robust increase, whereas noncompliant individuals had only minimal changes from baseline at 30 minutes after awakening (t = 2.89, p =.007). Thus the steepness of the circadian cortisol decline was greater for compliant subjects (t = 2.10, p =.043). Furthermore, the informed group adhered more closely to the sampling protocol than the noninformed subjects (p =.001). Self-reported compliance also differed significantly between study groups (p =.03). In the noninformed group, self-reported sampling accuracy was significantly higher than objectively measured compliance (p =.03); the two measures were similar in the informed group (p = NS). Conclusions A significant number of subjects did not obtain saliva samples reliably in an ambulatory setting. This can partially invalidate the cortisol results and mask potential differences between subject groups of interest. We therefore recommend the use of electronic monitoring devices or other suitable methods and that study participants be informed about the device when ambulatory saliva collection is performed.

514 citations

Journal ArticleDOI
TL;DR: A neuroimaging study reveals how coupled brain oscillations at different frequencies align with quasi-rhythmic features of continuous speech such as prosody, syllables, and phonemes.
Abstract: Cortical oscillations are likely candidates for segmentation and coding of continuous speech. Here, we monitored continuous speech processing with magnetoencephalography (MEG) to unravel the principles of speech segmentation and coding. We demonstrate that speech entrains the phase of low-frequency (delta, theta) and the amplitude of high-frequency (gamma) oscillations in the auditory cortex. Phase entrainment is stronger in the right and amplitude entrainment is stronger in the left auditory cortex. Furthermore, edges in the speech envelope phase reset auditory cortex oscillations thereby enhancing their entrainment to speech. This mechanism adapts to the changing physical features of the speech envelope and enables efficient, stimulus-specific speech sampling. Finally, we show that within the auditory cortex, coupling between delta, theta, and gamma oscillations increases following speech edges. Importantly, all couplings (i.e., brain-speech and also within the cortex) attenuate for backward-presented speech, suggesting top-down control. We conclude that segmentation and coding of speech relies on a nested hierarchy of entrained cortical oscillations.

514 citations

Journal ArticleDOI
TL;DR: Ten recommendations encompassing the role of imaging in making a diagnosis of RA, detecting inflammation and damage, predicting outcome and response to treatment, monitoring disease activity, progression and remission were developed using research-based evidence and expert opinion.
Abstract: Objective To develop evidence-based recommendations on the use of imaging of the joints in the clinical management of rheumatoid arthritis (RA). Methods The task force comprised an expert group of rheumatologists, radiologists, methodologists and experienced rheumatology practitioners from 13 countries. Thirteen key questions on the role of imaging in RA were generated using a process of discussion and consensus. Imaging modalities included were conventional radiography, ultrasound, MRI, CT, dual-emission x-ray absorptiometry, digital x-ray radiogrammetry, scintigraphy and positron emission tomography. Research evidence was searched systematically for each question using MEDLINE, EMBASE and Cochrane CENTRAL. The experts used the evidence obtained from the relevant studies to develop a set of 10 recommendations. The strength of recommendation was assessed using a visual analogue scale. Results A total of 6888 references was identified from the search process, from which 199 studies were included in the systematic review. Ten recommendations were produced encompassing the role of imaging in making a diagnosis of RA, detecting inflammation and damage, predicting outcome and response to treatment, monitoring disease activity, progression and remission. The strength of recommendation for each proposition varied according to both the research evidence and expert opinion. Conclusions Ten key recommendations for the role of imaging in the management of RA were developed using research-based evidence and expert opinion.

513 citations


Authors

Showing all 25575 results

NameH-indexPapersCitations
Karl J. Friston2171267217169
Roderick T. Bronson169679107702
Stanley B. Prusiner16874597528
Ralph A. DeFronzo160759132993
Monique M.B. Breteler15954693762
Thomas Meitinger155716108491
Karl Zilles13869272733
Ruben C. Gur13674161312
Alexis Brice13587083466
Michael Schmitt1342007114667
Michael Weller134110591874
Helmut Sies13367078319
Peter T. Fox13162283369
Yuri S. Kivshar126184579415
Markus M. Nöthen12594383156
Network Information
Related Institutions (5)
Ludwig Maximilian University of Munich
161.5K papers, 5.7M citations

97% related

Heidelberg University
119.1K papers, 4.6M citations

96% related

University of Zurich
124K papers, 5.3M citations

95% related

University of Pittsburgh
201K papers, 9.6M citations

94% related

National Institutes of Health
297.8K papers, 21.3M citations

94% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023139
2022470
20213,130
20202,721
20192,507
20182,439