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Institution

University of Queensland

EducationBrisbane, Queensland, Australia
About: University of Queensland is a education organization based out in Brisbane, Queensland, Australia. It is known for research contribution in the topics: Population & Poison control. The organization has 51138 authors who have published 155721 publications receiving 5717659 citations. The organization is also known as: UQ & The University of Queensland.


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Journal ArticleDOI
TL;DR: There is currently no evidence that weight loss after diagnosis improves survival in newly diagnosed breast cancer patients, and further research should concentrate on assessing whether factors such as diabetes or type of chemotherapy modify the obesity effect and on understanding the causal mechanism.
Abstract: Obesity is a risk factor for the development of new cases of breast cancer and also affects survival in women who have already been diagnosed with breast cancer. Early studies of obesity and breast cancer survival have been summarised in two meta-analyses, but the latest of these only included studies that recruited women diagnosed as recently as 1991. The primary aim of this study was to conduct a meta-analysis that included the more recent studies. A systematic search of MEDLINE, EMBASE and CINAHL was conducted to identify original data evaluating the effects of obesity on survival in newly diagnosed breast cancer patients. Adjusted hazard ratios (HR) from individual studies were pooled using a random effects model. A series of pre-specified sensitivity analyses were conducted on factors such as overall versus breast cancer survival and treatment versus observational cohort. The meta-analysis included 43 studies that enrolled women diagnosed with breast cancer between 1963 and 2005. Sample size ranged from 100 to 424168 (median 1192). The meta-analysis showed poorer survival among obese compared with non-obese women with breast cancer, which was similar for overall (HR = 1.33; 95% confidence interval (CI): 1.21, 1.47) and breast cancer specific survival (HR = 1.33; 95% CI: 1.19, 1.50). The survival differential varied only slightly, depending on whether body mass index (1.33; 1.21, 1.47) or waist-hip ratio (1.31; 1.08, 1.58) was used as the measure of obesity. There were larger differences by whether the woman was pre-menopausal (1.47) or post-menopausal (1.22); whether the cohort included women diagnosed before (1.31) or after 1995 (1.49); or whether the women were in a treatment (1.22) or observational cohort (1.36), but none of the differences were statistically significant. Women with breast cancer, who are obese, have poorer survival than women with breast cancer, who are not obese. However, no study has elucidated the causal mechanism and there is currently no evidence that weight loss after diagnosis improves survival. Consequently, there is currently no reason to place the additional burden of weight loss on women already burdened with a diagnosis of cancer. Further research should concentrate on assessing whether factors such as diabetes or type of chemotherapy modify the obesity effect and on understanding the causal mechanism, in particular the role of relative under-dosing.

823 citations

Journal ArticleDOI
Ward Appeltans1, Shane T. Ahyong2, Shane T. Ahyong3, Gary L. Anderson4, Martin V. Angel5, Tom Artois6, Nicolas Bailly7, Roger N. Bamber, Anthony Barber, Ilse Bartsch8, Annalisa Berta9, Magdalena Błażewicz-Paszkowycz, Phil Bock10, Geoff A. Boxshall11, Christopher B. Boyko12, Simone N. Brandão13, R. A. Bray11, Niel L. Bruce14, Niel L. Bruce15, Stephen D. Cairns16, Tin-Yam Chan17, Lanna Cheng18, Allen Gilbert Collins19, Thomas H. Cribb20, Marco Curini-Galletti21, Farid Dahdouh-Guebas22, Farid Dahdouh-Guebas23, Peter J. F. Davie24, Michael N Dawson25, Olivier De Clerck26, Wim Decock1, Sammy De Grave8, Nicole J. de Voogd27, Daryl P. Domning28, Christian C. Emig, Christer Erséus29, William N. Eschmeyer30, William N. Eschmeyer31, Kristian Fauchald16, Daphne G. Fautin8, Stephen W. Feist32, Charles H. J. M. Fransen27, Hidetaka Furuya33, Óscar García-Álvarez34, Sarah Gerken35, David I. Gibson11, Arjan Gittenberger27, Serge Gofas36, Liza Gómez-Daglio25, Dennis P. Gordon37, Michael D. Guiry38, Francisco Hernandez1, Bert W. Hoeksema27, Russell R. Hopcroft39, Damià Jaume40, Paul M. Kirk41, Nico Koedam23, Stefan Koenemann42, Jürgen B. Kolb43, Reinhardt Møbjerg Kristensen44, Andreas Kroh45, Gretchen Lambert46, David Lazarus47, Rafael Lemaitre16, Matt Longshaw32, Jim Lowry3, Enrique Macpherson40, Laurence P. Madin48, Christopher L. Mah16, Gill Mapstone11, Patsy A. McLaughlin49, Jan Mees1, Jan Mees26, Kenneth Meland50, Charles G. Messing51, Claudia E. Mills46, Tina N. Molodtsova52, Rich Mooi31, Birger Neuhaus47, Peter K. L. Ng53, Claus Nielsen44, Jon L. Norenburg16, Dennis M. Opresko16, Masayuki Osawa54, Gustav Paulay30, William F. Perrin19, John F. Pilger55, Gary C. B. Poore10, P.R. Pugh5, Geoffrey B. Read37, James Davis Reimer56, Marc Rius57, Rosana M. Rocha58, J.I. Saiz-Salinas59, Victor Scarabino, Bernd Schierwater60, Andreas Schmidt-Rhaesa13, Kareen E. Schnabel37, Marilyn Schotte16, Peter Schuchert, Enrico Schwabe, Hendrik Segers61, Caryn Self-Sullivan51, Noa Shenkar62, Volker Siegel, Wolfgang Sterrer8, Sabine Stöhr63, Billie J. Swalla46, Mark L. Tasker64, Erik V. Thuesen65, Tarmo Timm66, M. Antonio Todaro, Xavier Turon40, Seth Tyler67, Peter Uetz68, Jacob van der Land27, Bart Vanhoorne1, Leen van Ofwegen27, Rob W. M. Van Soest27, Jan Vanaverbeke26, Genefor Walker-Smith10, T. Chad Walter16, Alan Warren11, Gary C. Williams31, Simon P. Wilson69, Mark J. Costello70 
Flanders Marine Institute1, University of New South Wales2, Australian Museum3, University of Southern Mississippi4, National Oceanography Centre, Southampton5, University of Hasselt6, WorldFish7, American Museum of Natural History8, San Diego State University9, Museum Victoria10, Natural History Museum11, Dowling College12, University of Hamburg13, James Cook University14, University of Johannesburg15, National Museum of Natural History16, National Taiwan Ocean University17, Scripps Institution of Oceanography18, National Oceanic and Atmospheric Administration19, University of Queensland20, University of Sassari21, Université libre de Bruxelles22, Vrije Universiteit Brussel23, Queensland Museum24, University of California, Merced25, Ghent University26, Naturalis27, Howard University28, University of Gothenburg29, Florida Museum of Natural History30, California Academy of Sciences31, Centre for Environment, Fisheries and Aquaculture Science32, Osaka University33, University of Santiago de Compostela34, University of Alaska Anchorage35, University of Málaga36, National Institute of Water and Atmospheric Research37, National University of Ireland, Galway38, University of Alaska Fairbanks39, Spanish National Research Council40, CABI41, University of Siegen42, Massey University43, University of Copenhagen44, Naturhistorisches Museum45, University of Washington46, Museum für Naturkunde47, Woods Hole Oceanographic Institution48, Western Washington University49, University of Bergen50, Nova Southeastern University51, Shirshov Institute of Oceanology52, National University of Singapore53, Shimane University54, Agnes Scott College55, University of the Ryukyus56, University of California, Davis57, Federal University of Paraná58, University of the Basque Country59, University of Veterinary Medicine Hanover60, Royal Belgian Institute of Natural Sciences61, Tel Aviv University62, Swedish Museum of Natural History63, Joint Nature Conservation Committee64, The Evergreen State College65, Estonian University of Life Sciences66, University of Maine67, Virginia Commonwealth University68, Trinity College, Dublin69, University of Auckland70
TL;DR: The first register of the marine species of the world is compiled and it is estimated that between one-third and two-thirds of marine species may be undescribed, and previous estimates of there being well over one million marine species appear highly unlikely.

822 citations

Journal ArticleDOI
09 Mar 2017-Nature
TL;DR: This work integrates multiple transcript collections to generate a comprehensive atlas of 27,919 human lncRNA genes with high-confidence 5′ ends and expression profiles across 1,829 samples from the major human primary cell types and tissues, identifying 19,175 potentially functional lncRNAs in the human genome.
Abstract: Long non-coding RNAs (lncRNAs) are largely heterogeneous and functionally uncharacterized. Here, using FANTOM5 cap analysis of gene expression (CAGE) data, we integrate multiple transcript collections to generate a comprehensive atlas of 27,919 human lncRNA genes with high-confidence 5' ends and expression profiles across 1,829 samples from the major human primary cell types and tissues. Genomic and epigenomic classification of these lncRNAs reveals that most intergenic lncRNAs originate from enhancers rather than from promoters. Incorporating genetic and expression data, we show that lncRNAs overlapping trait-associated single nucleotide polymorphisms are specifically expressed in cell types relevant to the traits, implicating these lncRNAs in multiple diseases. We further demonstrate that lncRNAs overlapping expression quantitative trait loci (eQTL)-associated single nucleotide polymorphisms of messenger RNAs are co-expressed with the corresponding messenger RNAs, suggesting their potential roles in transcriptional regulation. Combining these findings with conservation data, we identify 19,175 potentially functional lncRNAs in the human genome.

821 citations

Journal ArticleDOI
TL;DR: Genetic analysis of the wMel genome further supports the hypothesis that mitochondria share a common ancestor with the α-Proteobacteria, but shows little support for the grouping of mitochondria with species in the order Rickettsiales.
Abstract: The complete sequence of the 1,267,782 bp genome of Wolbachia pipientis wMel, an obligate intracellular bacteria of Drosophila melanogaster, has been determined. Wolbachia, which are found in a variety of invertebrate species, are of great interest due to their diverse interactions with different hosts, which range from many forms of reproductive parasitism to mutualistic symbioses. Analysis of the wMel genome, in particular phylogenomic comparisons with other intracellular bacteria, has revealed many insights into the biology and evolution of wMel and Wolbachia in general. For example, the wMel genome is unique among sequenced obligate intracellular species in both being highly streamlined and containing very high levels of repetitive DNA and mobile DNA elements. This observation, coupled with multiple evolutionary reconstructions, suggests that natural selection is somewhat inefficient in wMel, most likely owing to the occurrence of repeated population bottlenecks. Genome analysis predicts many metabolic differences with the closely related Rickettsia species, including the presence of intact glycolysis and purine synthesis, which may compensate for an inability to obtain ATP directly from its host, as Rickettsia can. Other discoveries include the apparent inability of wMel to synthesize lipopolysaccharide and the presence of the most genes encoding proteins with ankyrin repeat domains of any prokaryotic genome yet sequenced. Despite the ability of wMel to infect the germline of its host, we find no evidence for either recent lateral gene transfer between wMel and D. melanogaster or older transfers between Wolbachia and any host. Evolutionary analysis further supports the hypothesis that mitochondria share a common ancestor with the alpha-Proteobacteria, but shows little support for the grouping of mitochondria with species in the order Rickettsiales. With the availability of the complete genomes of both species and excellent genetic tools for the host, the wMel-D. melanogaster symbiosis is now an ideal system for studying the biology and evolution of Wolbachia infections.

820 citations

Journal ArticleDOI
TL;DR: Recent studies have shown that Ras proteins interact dynamically with specific microdomains of the plasma membrane as well as with other internal cell membranes, highlighting the complex interplay between Ras location and function.
Abstract: Ras signalling has classically been thought to occur exclusively at the inner surface of a relatively uniform plasma membrane. Recent studies have shown that Ras proteins interact dynamically with specific microdomains of the plasma membrane as well as with other internal cell membranes. These different membrane microenvironments modulate Ras signal output and highlight the complex interplay between Ras location and function.

816 citations


Authors

Showing all 52145 results

NameH-indexPapersCitations
Graham A. Colditz2611542256034
George Davey Smith2242540248373
David J. Hunter2131836207050
Daniel Levy212933194778
Christopher J L Murray209754310329
Matthew Meyerson194553243726
Luigi Ferrucci1931601181199
Nicholas G. Martin1921770161952
Paul M. Thompson1832271146736
Jie Zhang1784857221720
Alan D. Lopez172863259291
Ian J. Deary1661795114161
Steven N. Blair165879132929
Carlos Bustamante161770106053
David W. Johnson1602714140778
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023507
20221,728
202111,678
202010,832
20199,671
20189,015