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Institution

University of Southern Denmark

EducationOdense, Syddanmark, Denmark
About: University of Southern Denmark is a education organization based out in Odense, Syddanmark, Denmark. It is known for research contribution in the topics: Population & Randomized controlled trial. The organization has 11928 authors who have published 37918 publications receiving 1258559 citations. The organization is also known as: SDU.


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Journal ArticleDOI
TL;DR: PA and CRF are separately and independently associated with individual and clustered metabolic risk factors in children and the results suggest that fitness and activity affect metabolic risk through different pathways.
Abstract: High levels of cardiorespiratory fitness (CRF) and physical activity (PA) are associated with a favourable metabolic risk profile. However, there has been no thorough exploration of the independent contributions of cardiorespiratory fitness and subcomponents of activity (total PA, time spent sedentary, and time spent in light, moderate and vigorous intensity PA) to metabolic risk factors in children and the relative importance of these factors. We performed a population-based, cross-sectional study in 9- to 10- and 15- to 16-year-old boys and girls from three regions of Europe (n = 1709). We examined the independent associations of subcomponents of PA and CRF with metabolic risk factors (waist circumference, BP, fasting glucose, insulin, triacylglycerol and HDL-cholesterol levels). Clustered metabolic risk was expressed as a continuously distributed score calculated as the average of the standardised values of the six subcomponents. CRF (standardised β = −0.09, 95% CI −0.12, −0.06), total PA (standardised β = −0.08, 95% CI −0.10, −0.05) and all other subcomponents of PA were significantly associated with clustered metabolic risk. After excluding waist circumference from the summary score and further adjustment for waist circumference as a confounding factor, the magnitude of the association between CRF and clustered metabolic risk was attenuated (standardised β = −0.05, 95% CI −0.08, −0.02), whereas the association with total PA was unchanged (standardised β = −0.08 95% CI −0.10, −0.05). PA and CRF are separately and independently associated with individual and clustered metabolic risk factors in children. The association between CRF and clustered risk is partly mediated or confounded by adiposity, whereas the association between activity and clustered risk is independent of adiposity. Our results suggest that fitness and activity affect metabolic risk through different pathways.

518 citations

Journal ArticleDOI
TL;DR: This work frames central issues regarding determination of protein-level variation and PTMs, including some paradoxes present in the field today, and uses this framework to assess existing data and ask the question, "How many distinct primary structures of proteins (proteoforms) are created from the 20,300 human genes?"
Abstract: Despite decades of accumulated knowledge about proteins and their post-translational modifications (PTMs), numerous questions remain regarding their molecular composition and biological function O

516 citations

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: Evaluate secular trends and provide new standards for small for gestational age for 16 to 44 weeks of gestation in Norway for the period 1967–1998 to describe birthweight by Gestational age in Norway.
Abstract: Objective. To describe birthweight by gestational age in Norway for the period 1967-1998, evaluate secular trends and provide new standards for small for gestational age for 16 to 44 weeks of gestation. Subjects and methods. The analyses were based on more than 1.8 million singleton births, covering all births in Norway for a 32 year period. Percentiles for birthweight by gestational age were estimated using smoothed means and standard deviations. In the preterm weeks, means and standard deviations were carefully screened for birthweight-gestational age consistency, adapting a method of Wilcox and Russell. Differences in birthweight by gestational age for stillbirths and livebirths in extremely preterm weeks (16-28) are presented, and the effects of cesarean section are evaluated. We observed a clear increase in birthweight by gestational age for all term weeks, but a decrease for most of the preterm weeks over the same period. This decrease was related to the increase in deliveries by cesarean section. C...

513 citations

Journal ArticleDOI
TL;DR: Results suggest that the theory of planned behavior (with the inclusion of a path from subjective norm to attitude) provides the best fit to the data and explains the highest proportion of variation in online grocery buying intention.

513 citations


Authors

Showing all 12150 results

NameH-indexPapersCitations
Paul M. Ridker2331242245097
George Davey Smith2242540248373
Matthias Mann221887230213
Eric Boerwinkle1831321170971
Gang Chen1673372149819
Jun Wang1661093141621
Harvey F. Lodish165782101124
Jens J. Holst1601536107858
Rajesh Kumar1494439140830
J. Fraser Stoddart147123996083
Debbie A Lawlor1471114101123
Børge G. Nordestgaard147104795530
Oluf Pedersen135939106974
Rasmus Nielsen13555684898
Torben Jørgensen13588386822
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202382
2022410
20214,042
20203,614
20192,967
20182,603