Institution
University of Aberdeen
Education•Aberdeen, United Kingdom•
About: University of Aberdeen is a education organization based out in Aberdeen, United Kingdom. It is known for research contribution in the topics: Population & Health care. The organization has 21174 authors who have published 49962 publications receiving 2105479 citations. The organization is also known as: Aberdeen University.
Papers published on a yearly basis
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TL;DR: Diets designed to achieve weight loss in obese subjects can significantly alter the species composition of the gut microbiota, but there is no evidence that the proportions of Bacteroidetes and Firmicutes among fecal bacteria have a function in human obesity.
Abstract: It has been proposed that the development of obesity in humans is influenced by the relative proportions of the two major phyla of bacteria (Bacteroidetes and Firmicutes) present in the large intestine. To examine the relationships between body mass index, weight loss and the major bacterial groups detected in fecal samples. Major groups of fecal bacteria were monitored using fluorescent in situ hybridization (FISH) in obese and non-obese subjects under conditions of weight maintenance, and in obese male volunteers undergoing weight loss on two different reduced carbohydrate weight-loss diets given successively for 4 weeks each. We detected no difference between obese and non-obese individuals in the proportion of Bacteroidetes measured in fecal samples, and no significant change in the percentage of Bacteroidetes in feces from obese subjects on weight loss diets. Significant diet-dependent reductions in a group of butyrate-producing Firmicutes were, however, detected in fecal samples from obese subjects on weight loss diets. Diets designed to achieve weight loss in obese subjects can significantly alter the species composition of the gut microbiota, but we find no evidence that the proportions of Bacteroidetes and Firmicutes among fecal bacteria have a function in human obesity.
1,119 citations
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University of North Carolina at Chapel Hill1, University of Texas Health Science Center at Houston2, University of Pavia3, University of Cambridge4, University of Milan5, Stanford University6, Kaiser Permanente7, National Institutes of Health8, University of Washington9, Wake Forest University10, Cedars-Sinai Medical Center11, Group Health Cooperative12, Lund University13, University of Michigan14, University of Helsinki15, National Institute for Health and Welfare16, Boston University17, University of Chicago18, International Agency for Research on Cancer19, Charles University in Prague20, French Institute of Health and Medical Research21, Institut Gustave Roussy22, University of Padua23, University of Glasgow24, Palacký University, Olomouc25, Trinity College, Dublin26, National and Kapodistrian University of Athens27, Newcastle University28, University of Aberdeen29, University of Turin30, Nofer Institute of Occupational Medicine31, Russian Academy32, University of Exeter33, Harvard University34, Massachusetts Institute of Technology35, Broad Institute36, VU University Amsterdam37, Erasmus University Rotterdam38, University of Virginia39, Virginia Commonwealth University40, University of Pennsylvania41, Duke University42, Tufts University43, University of Ioannina44
TL;DR: A meta-analyses of several smoking phenotypes within cohorts of the Tobacco and Genetics Consortium found the strongest association was a synonymous 15q25 SNP in the nicotinic receptor gene CHRNA3, and three loci associated with number of cigarettes smoked per day were identified.
Abstract: Consistent but indirect evidence has implicated genetic factors in smoking behavior1,2. We report meta-analyses of several smoking phenotypes within cohorts of the Tobacco and Genetics Consortium (n = 74,053). We also partnered with the European Network of Genetic and Genomic Epidemiology (ENGAGE) and Oxford-GlaxoSmithKline (Ox-GSK) consortia to follow up the 15 most significant regions (n > 140,000). We identified three loci associated with number of cigarettes smoked per day. The strongest association was a synonymous 15q25 SNP in the nicotinic receptor gene CHRNA3 (rs1051730[A], b = 1.03, standard error (s.e.) = 0.053, beta = 2.8 x 10(-73)). Two 10q25 SNPs (rs1329650[G], b = 0.367, s. e. = 0.059, beta = 5.7 x 10(-10); and rs1028936[A], b = 0.446, s. e. = 0.074, beta = 1.3 x 10(-9)) and one 9q13 SNP in EGLN2 (rs3733829[G], b = 0.333, s. e. = 0.058, P = 1.0 x 10(-8)) also exceeded genome-wide significance for cigarettes per day. For smoking initiation, eight SNPs exceeded genome-wide significance, with the strongest association at a nonsynonymous SNP in BDNF on chromosome 11 (rs6265[C], odds ratio (OR) = 1.06, 95% confidence interval (Cl) 1.04-1.08, P = 1.8 x 10(-8)). One SNP located near DBH on chromosome 9 (rs3025343[G], OR = 1.12, 95% Cl 1.08-1.18, P = 3.6 x 10(-8)) was significantly associated with smoking cessation.
1,104 citations
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TL;DR: In this article, the results of a genome-wide association study (GWAS) for educational attainment were reported, showing that single-nucleotide polymorphisms associated with educational attainment disproportionately occur in genomic regions regulating gene expression in the fetal brain.
Abstract: Educational attainment is strongly influenced by social and other environmental factors, but genetic factors are estimated to account for at least 20% of the variation across individuals. Here we report the results of a genome-wide association study (GWAS) for educational attainment that extends our earlier discovery sample of 101,069 individuals to 293,723 individuals, and a replication study in an independent sample of 111,349 individuals from the UK Biobank. We identify 74 genome-wide significant loci associated with the number of years of schooling completed. Single-nucleotide polymorphisms associated with educational attainment are disproportionately found in genomic regions regulating gene expression in the fetal brain. Candidate genes are preferentially expressed in neural tissue, especially during the prenatal period, and enriched for biological pathways involved in neural development. Our findings demonstrate that, even for a behavioural phenotype that is mostly environmentally determined, a well-powered GWAS identifies replicable associated genetic variants that suggest biologically relevant pathways. Because educational attainment is measured in large numbers of individuals, it will continue to be useful as a proxy phenotype in efforts to characterize the genetic influences of related phenotypes, including cognition and neuropsychiatric diseases.
1,102 citations
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McMaster University1, University of Montpellier2, Transylvania University3, Ghent University Hospital4, University of Sydney5, Humanitas University6, University of South Florida7, Leiden University Medical Center8, RMIT University9, Federal University of Bahia10, Pierre-and-Marie-Curie University11, Saint Louis University12, University of Porto13, Katholieke Universiteit Leuven14, Medical University of Łódź15, University of Tartu16, Oslo University Hospital17, Royal College of Surgeons in Ireland18, University of California, San Diego19, University of Barcelona20, University of Padua21, Monash University22, Charles University in Prague23, University of Manchester24, Ajou University25, University of Genoa26, Nippon Medical School27, University of Aberdeen28, University of Edinburgh29, Kerman Medical University30, Medical University of Warsaw31, National Institutes of Health32, Vilnius University33, University of Turku34, Nova Southeastern University35, Boston Children's Hospital36, Beijing Tongren Hospital37, Charité38
TL;DR: The 2016 revision of the ARIA guidelines provides both updated and new recommendations about the pharmacologic treatment of AR, addressing the relative merits of using oral H1‐antihistamines, intranasal H1-antihistsamines, IntranasAL corticosteroids, and leukotriene receptor antagonists either alone or in combination.
Abstract: Background Allergic rhinitis (AR) affects 10% to 40% of the population. It reduces quality of life and school and work performance and is a frequent reason for office visits in general practice. Medical costs are large, but avoidable costs associated with lost work productivity are even larger than those incurred by asthma. New evidence has accumulated since the last revision of the Allergic Rhinitis and its Impact on Asthma (ARIA) guidelines in 2010, prompting its update. Objective We sought to provide a targeted update of the ARIA guidelines. Methods The ARIA guideline panel identified new clinical questions and selected questions requiring an update. We performed systematic reviews of health effects and the evidence about patients' values and preferences and resource requirements (up to June 2016). We followed the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) evidence-to-decision frameworks to develop recommendations. Results The 2016 revision of the ARIA guidelines provides both updated and new recommendations about the pharmacologic treatment of AR. Specifically, it addresses the relative merits of using oral H1-antihistamines, intranasal H1-antihistamines, intranasal corticosteroids, and leukotriene receptor antagonists either alone or in combination. The ARIA guideline panel provides specific recommendations for the choice of treatment and the rationale for the choice and discusses specific considerations that clinicians and patients might want to review to choose the management most appropriate for an individual patient. Conclusions Appropriate treatment of AR might improve patients' quality of life and school and work productivity. ARIA recommendations support patients, their caregivers, and health care providers in choosing the optimal treatment.
1,098 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
Authors
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Name | H-index | Papers | Citations |
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Paul M. Thompson | 183 | 2271 | 146736 |
Feng Zhang | 172 | 1278 | 181865 |
Ian J. Deary | 166 | 1795 | 114161 |
Peter A. R. Ade | 162 | 1387 | 138051 |
David W. Johnson | 160 | 2714 | 140778 |
Pete Smith | 156 | 2464 | 138819 |
Naveed Sattar | 155 | 1326 | 116368 |
John R. Hodges | 149 | 812 | 82709 |
Ruth J. F. Loos | 142 | 647 | 92485 |
Alan J. Silman | 141 | 708 | 92864 |
Michael J. Keating | 140 | 1169 | 76353 |
David Price | 138 | 1687 | 93535 |
John D. Scott | 135 | 625 | 83878 |
Aarno Palotie | 129 | 711 | 89975 |
Rajat Gupta | 126 | 1240 | 72881 |