Institution
Université de Montréal
Education•Montreal, Quebec, Canada•
About: Université de Montréal is a education organization based out in Montreal, Quebec, Canada. It is known for research contribution in the topics: Population & Poison control. The organization has 45641 authors who have published 100476 publications receiving 4004007 citations. The organization is also known as: University of Montreal & UdeM.
Topics: Population, Poison control, Health care, Receptor, Prostate cancer
Papers published on a yearly basis
Papers
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TL;DR: The effectiveness of QI strategies varied depending on baseline HbA(1c) control, and interventions targeting the system of chronic disease management along with patient-mediatedQI strategies should be an important component of interventions aimed at improving diabetes management.
586 citations
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TL;DR: In this paper, the authors identify some of the main issues in freight transportation planning and operations, and present appropriate Operations Research models and methods, as well as computer-based planning tools.
585 citations
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TL;DR: Recent progress in assembling the tree of eukaryotes is reviewed, describing the major evidence for each supergroup, and where gaps in the authors' knowledge remain.
Abstract: Recent advances in resolving the tree of eukaryotes are converging on a model composed of a few large hypothetical 'supergroups', each comprising a diversity of primarily microbial eukaryotes (protists, or protozoa and algae). The process of resolving the tree involves the synthesis of many kinds of data, including single-gene trees, multigene analyses, and other kinds of molecular and structural characters. Here, we review the recent progress in assembling the tree of eukaryotes, describing the major evidence for each supergroup, and where gaps in our knowledge remain. We also consider other factors emerging from phylogenetic analyses and comparative genomics, in particular lateral gene transfer, and whether such factors confound our understanding of the eukaryotic tree.
584 citations
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Thomas W. Winkler1, Anne E. Justice2, Mariaelisa Graff2, Llilda Barata3 +435 more•Institutions (106)
TL;DR: In this paper, the authors performed meta-analyses of 114 studies with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium.
Abstract: Genome-wide association studies (GWAS) have identified more than 100 genetic variants contributing to BMI, a measure of body size, or waist-to-hip ratio (adjusted for BMI, WHRadjBMI), a measure of body shape. Body size and shape change as people grow older and these changes differ substantially between men and women. To systematically screen for age- and/or sex-specific effects of genetic variants on BMI and WHRadjBMI, we performed meta-analyses of 114 studies (up to 320,485 individuals of European descent) with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium. Each study tested the association of up to ~2.8M SNPs with BMI and WHRadjBMI in four strata (men ≤50y, men >50y, women ≤50y, women >50y) and summary statistics were combined in stratum-specific meta-analyses. We then screened for variants that showed age-specific effects (G x AGE), sex-specific effects (G x SEX) or age-specific effects that differed between men and women (G x AGE x SEX). For BMI, we identified 15 loci (11 previously established for main effects, four novel) that showed significant (FDR<5%) age-specific effects, of which 11 had larger effects in younger (<50y) than in older adults (≥50y). No sex-dependent effects were identified for BMI. For WHRadjBMI, we identified 44 loci (27 previously established for main effects, 17 novel) with sex-specific effects, of which 28 showed larger effects in women than in men, five showed larger effects in men than in women, and 11 showed opposite effects between sexes. No age-dependent effects were identified for WHRadjBMI. This is the first genome-wide interaction meta-analysis to report convincing evidence of age-dependent genetic effects on BMI. In addition, we confirm the sex-specificity of genetic effects on WHRadjBMI. These results may provide further insights into the biology that underlies weight change with age or the sexually dimorphism of body shape.
584 citations
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TL;DR: A taxonomy of social activities is proposed that can help distinguish social participation from parallel but different concepts such as participation (levels 1 through 6) and social engagement (levels 5 and 6).
583 citations
Authors
Showing all 45957 results
Name | H-index | Papers | Citations |
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Yoshua Bengio | 202 | 1033 | 420313 |
Alan C. Evans | 183 | 866 | 134642 |
Richard H. Friend | 169 | 1182 | 140032 |
Anders Björklund | 165 | 769 | 84268 |
Charles N. Serhan | 158 | 728 | 84810 |
Fernando Rivadeneira | 146 | 628 | 86582 |
C. Dallapiccola | 136 | 1717 | 101947 |
Michael J. Meaney | 136 | 604 | 81128 |
Claude Leroy | 135 | 1170 | 88604 |
Georges Azuelos | 134 | 1294 | 90690 |
Phillip Gutierrez | 133 | 1391 | 96205 |
Danny Miller | 133 | 512 | 71238 |
Henry T. Lynch | 133 | 925 | 86270 |
Stanley Nattel | 132 | 778 | 65700 |
Lucie Gauthier | 132 | 679 | 64794 |