Institution
McGill University
Education•Montreal, Quebec, Canada•
About: McGill University 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 72688 authors who have published 162565 publications receiving 6966523 citations. The organization is also known as: Royal institution of advanced learning & University of McGill College.
Topics: Population, Poison control, Health care, Cancer, Receptor
Papers published on a yearly basis
Papers
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Harvard University1, Broad Institute2, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico3, McMaster University4, McGill University5, University of Leicester6, University of Lübeck7, University of Pennsylvania8, Vanderbilt University9, University of Missouri–Kansas City10, University of Münster11, University of Verona12, Queen's University Belfast13, University of Washington14, Boston University15, University of Helsinki16, National Institute for Health and Welfare17, Lund University18, University of Cambridge19, Vita-Salute San Raffaele University20, University of Ferrara21, University of Turin22, Hebrew University of Jerusalem23, University of Girona24, University of Milan25, University of Leeds26, University of Regensburg27, Ludwig Maximilian University of Munich28, University of Kiel29, Wellcome Trust Sanger Institute30, University of Paris31, MedStar Washington Hospital Center32, deCODE genetics33, University of Iceland34
TL;DR: SNPs at nine loci were reproducibly associated with myocardial infarction, but tests of common and rare CNVs failed to identify additional associations with my Cardiovascular Infarction risk.
Abstract: We conducted a genome-wide association study testing single nucleotide polymorphisms (SNPs) and copy number variants (CNVs) for association with early-onset myocardial infarction in 2,967 cases and 3,075 controls We carried out replication in an independent sample with an effective sample size of up to 19,492 SNPs at nine loci reached genome-wide significance: three are newly identified (21q22 near MRPS6-SLC5A3-KCNE2, 6p24 in PHACTR1 and 2q33 in WDR12) and six replicated prior observations1, 2, 3, 4 (9p21, 1p13 near CELSR2-PSRC1-SORT1, 10q11 near CXCL12, 1q41 in MIA3, 19p13 near LDLR and 1p32 near PCSK9) We tested 554 common copy number polymorphisms (>1% allele frequency) and none met the pre-specified threshold for replication (P < 10-3) We identified 8,065 rare CNVs but did not detect a greater CNV burden in cases compared to controls, in genes compared to the genome as a whole, or at any individual locus SNPs at nine loci were reproducibly associated with myocardial infarction, but tests of common and rare CNVs failed to identify additional associations with myocardial infarction risk
1,092 citations
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TL;DR: In this paper, the authors synthesize the existing evidence that addresses the question: "What are the effects of faculty development interventions on the knowledge, attitudes and skills of teachers in medical education, and on the institutions in which they work?"
Abstract: Background: Preparing healthcare professionals for teaching is regarded as essential to enhancing teaching effectiveness. Although many reports describe various faculty development interventions, there is a paucity of research demonstrating their effectiveness.Objective: To synthesize the existing evidence that addresses the question: “What are the effects of faculty development interventions on the knowledge, attitudes and skills of teachers in medical education, and on the institutions in which they work?”Methods: The search, covering the period 1980–2002, included three databases (Medline, ERIC and EMBASE) and used the keywords: staff development; in-service training; medical faculty; faculty training/development; continuing medical education. Manual searches were also conducted.Articles with a focus on faculty development to improve teaching effectiveness, targeting basic and clinical scientists, were reviewed. All study designs that included outcome data beyond participant satisfaction were accepted....
1,091 citations
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TL;DR: Genome-wide analysis identifies 30 loci associated with bipolar disorder, allowing for comparisons of shared genes and pathways with other psychiatric disorders, including schizophrenia and depression.
Abstract: Bipolar disorder is a highly heritable psychiatric disorder. We performed a genome-wide association study (GWAS) including 20,352 cases and 31,358 controls of European descent, with follow-up analysis of 822 variants with P < 1 × 10-4 in an additional 9,412 cases and 137,760 controls. Eight of the 19 variants that were genome-wide significant (P < 5 × 10-8) in the discovery GWAS were not genome-wide significant in the combined analysis, consistent with small effect sizes and limited power but also with genetic heterogeneity. In the combined analysis, 30 loci were genome-wide significant, including 20 newly identified loci. The significant loci contain genes encoding ion channels, neurotransmitter transporters and synaptic components. Pathway analysis revealed nine significantly enriched gene sets, including regulation of insulin secretion and endocannabinoid signaling. Bipolar I disorder is strongly genetically correlated with schizophrenia, driven by psychosis, whereas bipolar II disorder is more strongly correlated with major depressive disorder. These findings address key clinical questions and provide potential biological mechanisms for bipolar disorder.
1,090 citations
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TL;DR: The authors extend the hierarchical recurrent encoder-decoder neural network to the dialogue domain, and demonstrate that this model is competitive with state-of-the-art neural language models and back-off n-gram models.
Abstract: We investigate the task of building open domain, conversational dialogue systems based on large dialogue corpora using generative models. Generative models produce system responses that are autonomously generated word-by-word, opening up the possibility for realistic, flexible interactions. In support of this goal, we extend the recently proposed hierarchical recurrent encoder-decoder neural network to the dialogue domain, and demonstrate that this model is competitive with state-of-the-art neural language models and back-off n-gram models. We investigate the limitations of this and similar approaches, and show how its performance can be improved by bootstrapping the learning from a larger question-answer pair corpus and from pretrained word embeddings.
1,090 citations
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Johns Hopkins University School of Medicine1, Broad Institute2, Harvard University3, University of Pennsylvania4, Alnylam Pharmaceuticals5, University of Hamburg6, National Institutes of Health7, University of Minnesota8, Sage Bionetworks9, McGill University10, Lund University11, Children's Hospital Oakland Research Institute12
TL;DR: Functional evidence for a novel regulatory pathway for lipoprotein metabolism is provided and it is suggested that modulation of this pathway may alter risk for MI in humans.
Abstract: Recent genome-wide association studies (GWASs) have identified a locus on chromosome 1p13 strongly associated with both plasma low-density lipoprotein cholesterol (LDL-C) and myocardial infarction (MI) in humans. Here we show through a series of studies in human cohorts and human-derived hepatocytes that a common noncoding polymorphism at the 1p13 locus, rs12740374, creates a C/EBP (CCAAT/enhancer binding protein) transcription factor binding site and alters the hepatic expression of the SORT1 gene. With small interfering RNA (siRNA) knockdown and viral overexpression in mouse liver, we demonstrate that Sort1 alters plasma LDL-C and very low-density lipoprotein (VLDL) particle levels by modulating hepatic VLDL secretion. Thus, we provide functional evidence for a novel regulatory pathway for lipoprotein metabolism and suggest that modulation of this pathway may alter risk for MI in humans. We also demonstrate that common noncoding DNA variants identified by GWASs can directly contribute to clinical phenotypes.
1,090 citations
Authors
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Name | H-index | Papers | Citations |
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Karl J. Friston | 217 | 1267 | 217169 |
Yi Chen | 217 | 4342 | 293080 |
Yoshua Bengio | 202 | 1033 | 420313 |
Irving L. Weissman | 201 | 1141 | 172504 |
Mark I. McCarthy | 200 | 1028 | 187898 |
Lewis C. Cantley | 196 | 748 | 169037 |
Martin White | 196 | 2038 | 232387 |
Michael Marmot | 193 | 1147 | 170338 |
Michael A. Strauss | 185 | 1688 | 208506 |
Alan C. Evans | 183 | 866 | 134642 |
Douglas R. Green | 182 | 661 | 145944 |
David A. Weitz | 178 | 1038 | 114182 |
David L. Kaplan | 177 | 1944 | 146082 |
Hyun-Chul Kim | 176 | 4076 | 183227 |
Feng Zhang | 172 | 1278 | 181865 |