Institution
Autonomous University of Barcelona
Education•Cerdanyola del Vallès, Spain•
About: Autonomous University of Barcelona is a education organization based out in Cerdanyola del Vallès, Spain. It is known for research contribution in the topics: Population & Context (language use). The organization has 37833 authors who have published 80514 publications receiving 2321142 citations. The organization is also known as: Universitat Autònoma de Barcelona & Computer Vision Center.
Topics: Population, Context (language use), Medicine, Cancer, Transplantation
Papers published on a yearly basis
Papers
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Radboud University Nijmegen1, University of Amsterdam2, QIMR Berghofer Medical Research Institute3, VU University Amsterdam4, University of California, San Diego5, University of Bristol6, University of Cambridge7, University of Chicago8, Vanderbilt University9, St. Joseph's Healthcare Hamilton10, University of Illinois at Urbana–Champaign11, Utrecht University12, University Medical Center Groningen13, Washington University in St. Louis14, University of Tartu15, University of Queensland16, Hospital for Sick Children17, University of Toronto18, Carlos III Health Institute19, Autonomous University of Barcelona20, University of Helsinki21, King's College London22, Yale University23, Virginia Commonwealth University24
TL;DR: A GWAS of lifetime cannabis use reveals new risk loci, shows that cannabis use has genetic overlap with smoking and alcohol use, and indicates that the likelihood of initiating cannabis use is causally influenced by schizophrenia.
Abstract: Cannabis use is a heritable trait that has been associated with adverse mental health outcomes. In the largest genome-wide association study (GWAS) for lifetime cannabis use to date (N = 184,765), we identified eight genome-wide significant independent single nucleotide polymorphisms in six regions. All measured genetic variants combined explained 11% of the variance. Gene-based tests revealed 35 significant genes in 16 regions, and S-PrediXcan analyses showed that 21 genes had different expression levels for cannabis users versus nonusers. The strongest finding across the different analyses was CADM2, which has been associated with substance use and risk-taking. Significant genetic correlations were found with 14 of 25 tested substance use and mental health-related traits, including smoking, alcohol use, schizophrenia and risk-taking. Mendelian randomization analysis showed evidence for a causal positive influence of schizophrenia risk on cannabis use. Overall, our study provides new insights into the etiology of cannabis use and its relation with mental health.
365 citations
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TL;DR: Evidence is provided that pregnancy, through the process of cell differentiation, shifts Stem cells 1 to Stem Cells 2 – cells that exhibit a specific genomic signature that could be responsible for the refractoriness of the mammary gland to carcinogenesis.
Abstract: Epidemiological, clinical, and experimental data indicate that the risk of developing breast cancer is strongly dependent on the ovary and on endocrine conditions modulated by ovarian function, such as early menarche, late menopause, and parity. Women who gave birth to a child when they were younger than 24 years of age exhibit a decrease in their lifetime risk of developing breast cancer, and additional pregnancies increase the protection. The breast tissue of normally cycling women contains three identifiable types of lobules, the undifferentiated Lobules type 1 (Lob 1) and the more developed Lobules type 2 and Lobules type 3. The breast attains its maximum development during pregnancy and lactation (Lobules type 4). After menopause the breast regresses in both nulliparous and parous women containing only Lob 1. Despite the similarity in the lobular composition of the breast at menopause, the fact that nulliparous women are at higher risk of developing breast cancer than parous women indicates that Lob 1 in these two groups of women might be biologically different, or might exhibit different susceptibility to carcinogenesis. Based on these observations it was postulated that Lob 1 found in the breast of nulliparous women and of parous women with breast cancer never went through the process of differentiation, retaining a high concentration of epithelial cells that are targets for carcinogens and are therefore susceptible to undergo neoplastic transformation. These epithelial cells are called Stem cells 1, whereas Lob 1 structures found in the breast of early parous postmenopausal women free of mammary pathology, on the contrary, are composed of an epithelial cell population that is refractory to transformation, called Stem cells 2. It was further postulated that the degree of differentiation acquired through early pregnancy has changed the 'genomic signature' that differentiates Lob 1 of the early parous women from that of the nulliparous women by shifting the Stem cells 1 to Stem cells 2 that are refractory to carcinogenesis, making this the postulated mechanism of protection conferred by early full-term pregnancy. The identification of a putative breast stem cell (Stem cells 1) has, in the past decade, reached a significant impulse, and several markers also reported for other tissues have been found in the mammary epithelial cells of both rodents and humans. Although further work needs to be carried out in order to better understand the role of the Stem cells 2 and their interaction with the genes that confer them a specific signature, collectively the data presently available provide evidence that pregnancy, through the process of cell differentiation, shifts Stem cells 1 to Stem cells 2 – cells that exhibit a specific genomic signature that could be responsible for the refractoriness of the mammary gland to carcinogenesis.
365 citations
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TL;DR: In this paper, it is argued that removing the information failure which GDP represents, in monitoring economic progress and guiding public policy, will lead to decisions and developments being more in line with improving human well-being.
364 citations
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TL;DR: In this paper, the ATLAS detector at the Large Hadron Collider is used to search for high-mass resonances decaying to dielectron or dimuon final states.
Abstract: The ATLAS detector at the Large Hadron Collider is used to search for high-mass resonances decaying to dielectron or dimuon final states. Results are presented from an analysis of proton-proton (pp) collisions at a center-of-mass energy of 8 TeV corresponding to an integrated luminosity of 20.3 fb(-1) in the dimuon channel. A narrow resonance with Standard Model Z couplings to fermions is excluded at 95% confidence level for masses less than 2.79 TeV in the dielectron channel, 2.53 TeV in the dimuon channel, and 2.90 TeV in the two channels combined. Limits on other model interpretations are also presented, including a grand-unification model based on the E-6 gauge group, Z* bosons, minimal Z' models, a spin-2 graviton excitation from Randall-Sundrum models, quantum black holes, and a minimal walking technicolor model with a composite Higgs boson.
364 citations
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TL;DR: Review Team: Juan-R.
Abstract: Review Team: Juan-R. Malagelada, MD (Spain) (Chair), Franco Bazzoli, MD (Italy), Guy Boeckxstaens, MD (Belgium), Danny De Looze, MD (Belgium), Michael Fried, MD (Switzerland), Peter Kahrilas, MD (USA), Greger Lindberg, MD (Sweden), Peter Malfertheiner, MD (Germany), Graciela Salis, MD (Argentina), Prateek Sharma, MD (USA), Daniel Sifrim, MD (UK), Nimish Vakil, MD (USA), and Anton Le Mair, MD (The Netherlands)
364 citations
Authors
Showing all 38202 results
Name | H-index | Papers | Citations |
---|---|---|---|
Adrian L. Harris | 170 | 1084 | 120365 |
Yang Gao | 168 | 2047 | 146301 |
Alvaro Pascual-Leone | 165 | 969 | 98251 |
David R. Jacobs | 165 | 1262 | 113892 |
Donald G. Truhlar | 165 | 1518 | 157965 |
J. S. Lange | 160 | 2083 | 145919 |
Joseph Wang | 158 | 1282 | 98799 |
José Baselga | 156 | 707 | 122498 |
Stephen J. Chanock | 154 | 1220 | 119390 |
Michael A. Matthay | 151 | 998 | 98687 |
David D'Enterria | 150 | 1592 | 116210 |
G. Eigen | 148 | 2188 | 117450 |
Inkyu Park | 144 | 1767 | 109433 |
Teruki Kamon | 142 | 2034 | 115633 |
Detlef Weigel | 142 | 516 | 84670 |