scispace - formally typeset
Search or ask a question
Institution

University of Aberdeen

EducationAberdeen, 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 & Randomized controlled trial. The organization has 21174 authors who have published 49962 publications receiving 2105479 citations. The organization is also known as: Aberdeen University.


Papers
More filters
Journal ArticleDOI
Jennifer Stone1, Jennifer Stone2, Jennifer Stone3, Michael Conlon O'Donovan4, Hugh Gurling5, George Kirov4, Douglas Blackwood6, Aiden Corvin7, Nicholas John Craddock4, Michael Gill7, Christina M. Hultman8, Christina M. Hultman9, Paul Lichtenstein9, Andrew McQuillin5, Carlos N. Pato10, Douglas M. Ruderfer2, Douglas M. Ruderfer1, Douglas M. Ruderfer3, Michael John Owen4, David St Clair11, Patrick F. Sullivan12, Pamela Sklar3, Pamela Sklar1, Pamela Sklar2, Shaun Purcell3, Shaun Purcell1, Shaun Purcell2, Joshua M. Korn3, Joshua M. Korn2, Stuart MacGregor13, Derek W. Morris7, Colm O'Dushlaine7, Mark J. Daly3, Mark J. Daly2, Mark J. Daly1, Peter M. Visscher13, Peter Holmans4, Edward M. Scolnick2, Edward M. Scolnick1, Nigel Williams4, Lucy Georgieva4, Ivan Nikolov4, Nadine Norton4, Hywel Williams4, Draga Toncheva, Vihra Milanova, Emma Flordal Thelander9, Patrick Sullivan12, Elaine Kenny7, John L. Waddington14, Khalid Choudhury5, Susmita Datta5, Jonathan Pimm5, Srinivasa Thirumalai15, Vinay Puri5, Robert Krasucki5, Jacob Lawrence5, Digby Quested16, Nicholas Bass5, David Curtis17, Caroline Crombie11, Gillian Fraser11, Soh Leh Kwan11, Nicholas Walker, Walter J. Muir6, Kevin A. McGhee6, Ben S. Pickard6, P. Malloy6, Alan W Maclean6, Margaret Van Beck6, Michele T. Pato10, Helena Medeiros10, Frank A. Middleton18, Célia Barreto Carvalho10, Christopher P. Morley18, Ayman H. Fanous, David V. Conti10, James A. Knowles10, Carlos Ferreira, António Macedo19, M. Helena Azevedo19, Steve McCarroll3, Steve McCarroll2, Mark J. Daly1, Mark J. Daly2, Mark J. Daly3, Kimberly Chambert2, Kimberly Chambert1, Casey Gates2, Stacey Gabriel2, Scott Mahon2, Kristen Ardlie2 
11 Sep 2008-Nature
TL;DR: A genome-wide survey of rare CNVs in 3,391 patients with schizophrenia and 3,181 ancestrally matched controls provides strong support for a model of schizophrenia pathogenesis that includes the effects of multiple rare structural variants, both genome- wide and at specific loci.
Abstract: Schizophrenia is a severe mental disorder marked by hallucinations, delusions, cognitive deficits and apathy, with a heritability estimated at 73 - 90% ( ref. 1). Inheritance patterns are complex, and the number and type of genetic variants involved are not understood. Copy number variants ( CNVs) have been identified in individual patients with schizophrenia(2-7) and also in neurodevelopmental disorders(8-11), but large- scale genome- wide surveys have not been performed. Here we report a genome- wide survey of rare CNVs in 3,391 patients with schizophrenia and 3,181 ancestrally matched controls, using high- density microarrays. For CNVs that were observed in less than 1% of the sample and were more than 100 kilobases in length, the total burden is increased 1.15- fold in patients with schizophrenia in comparison with controls. This effect was more pronounced for rarer, single- occurrence CNVs and for those that involved genes as opposed to those that did not. As expected, deletions were found within the region critical for velo- cardio- facial syndrome, which includes psychotic symptoms in 30% of patients(12). Associations with schizophrenia were also found for large deletions on chromosome 15q13.3 and 1q21.1. These associations have not previously been reported, and they remained significant after genome- wide correction. Our results provide strong support for a model of schizophrenia pathogenesis that includes the effects of multiple rare structural variants, both genome- wide and at specific loci.

1,465 citations

Journal ArticleDOI
TL;DR: This taxonomy can be used to improve the specification of interventions in published reports, thus improving replication, implementation and evidence syntheses and will strengthen the scientific study of behaviour change and intervention development.
Abstract: Background: Current reporting of intervention content in published research articles and protocols is generally poor, with great diversity of terminology, resulting in low replicability. This study aimed to extend the scope and improve the reliability of a 26-item taxonomy of behaviour change techniques developed by Abraham and Michie [Abraham, C. and Michie, S. (2008). A taxonomy of behaviour change techniques used in interventions. Health Psychology, 27(3), 379–387.] in order to optimise the reporting and scientific study of behaviour change interventions. Methods: Three UK study centres collaborated in applying this existing taxonomy to two systematic reviews of interventions to increase physical activity and healthy eating. The taxonomy was refined in iterative steps of (1) coding intervention descriptions, and assessing inter-rater reliability, (2) identifying gaps and problems across study centres and (3) refining the labels and definitions based on consensus discussions. Results: Labels and definit...

1,461 citations

Journal ArticleDOI
TL;DR: Time courses obtained by targeted qPCR revealed that ‘blooms’ in specific bacterial groups occurred rapidly after a dietary change, and these were rapidly reversed by the subsequent diet.
Abstract: The populations of dominant species within the human colonic microbiota can potentially be modified by dietary intake with consequences for health. Here we examined the influence of precisely controlled diets in 14 overweight men. Volunteers were provided successively with a control diet, diets high in resistant starch (RS) or non-starch polysaccharides (NSPs) and a reduced carbohydrate weight loss (WL) diet, over 10 weeks. Analysis of 16S rRNA sequences in stool samples of six volunteers detected 320 phylotypes (defined at >98% identity) of which 26, including 19 cultured species, each accounted for >1% of sequences. Although samples clustered more strongly by individual than by diet, time courses obtained by targeted qPCR revealed that 'blooms' in specific bacterial groups occurred rapidly after a dietary change. These were rapidly reversed by the subsequent diet. Relatives of Ruminococcus bromii (R-ruminococci) increased in most volunteers on the RS diet, accounting for a mean of 17% of total bacteria compared with 3.8% on the NSP diet, whereas the uncultured Oscillibacter group increased on the RS and WL diets. Relatives of Eubacterium rectale increased on RS (to mean 10.1%) but decreased, along with Collinsella aerofaciens, on WL. Inter-individual variation was marked, however, with >60% of RS remaining unfermented in two volunteers on the RS diet, compared to <4% in the other 12 volunteers; these two individuals also showed low numbers of R-ruminococci (<1%). Dietary non-digestible carbohydrate can produce marked changes in the gut microbiota, but these depend on the initial composition of an individual's gut microbiota.

1,443 citations

Journal ArticleDOI
TL;DR: This review summarizes current data indicating the extent to which cannabinoid receptor ligands undergo orthosteric or allosteric interactions with non- CB1, non-CB2 established GPCRs, deorphanized receptors such as GPR55, ligand-gated ion channels, transient receptor potential (TRP) channels, and other ion channels or peroxisome proliferator-activated nuclear receptors.
Abstract: There are at least two types of cannabinoid receptors (CB1 and CB2). Ligands activating these G protein-coupled receptors (GPCRs) include the phytocannabinoid Δ9-tetrahydrocannabinol, numerous synthetic compounds, and endogenous compounds known as endocannabinoids. Cannabinoid receptor antagonists have also been developed. Some of these ligands activate or block one type of cannabinoid receptor more potently than the other type. This review summarizes current data indicating the extent to which cannabinoid receptor ligands undergo orthosteric or allosteric interactions with non-CB1, non-CB2 established GPCRs, deorphanized receptors such as GPR55, ligand-gated ion channels, transient receptor potential (TRP) channels, and other ion channels or peroxisome proliferator-activated nuclear receptors. From these data, it is clear that some ligands that interact similarly with CB1 and/or CB2 receptors are likely to display significantly different pharmacological profiles. The review also lists some criteria that any novel “CB3” cannabinoid receptor or channel should fulfil and concludes that these criteria are not currently met by any non-CB1, non-CB2 pharmacological receptor or channel. However, it does identify certain pharmacological targets that should be investigated further as potential CB3 receptors or channels. These include TRP vanilloid 1, which possibly functions as an ionotropic cannabinoid receptor under physiological and/or pathological conditions, and some deorphanized GPCRs. Also discussed are 1) the ability of CB1 receptors to form heteromeric complexes with certain other GPCRs, 2) phylogenetic relationships that exist between CB1/CB2 receptors and other GPCRs, 3) evidence for the existence of several as-yet-uncharacterized non-CB1, non-CB2 cannabinoid receptors; and 4) current cannabinoid receptor nomenclature.

1,439 citations

Journal ArticleDOI
TL;DR: The term 'pilot studies' refers to mini versions of a full-scale study, as well as the specific pre-testing of a particular research instrument such as a questionnaire or interview schedule.
Abstract: The term 'pilot studies' refers to mini versions of a full-scale study (also called 'feasibility' studies), as well as the specific pre-testing of a particular research instrument such as a questionnaire or interview schedule. Pilot studies are a crucial element of a good study design. Conducting a pilot study does not guarantee success in the main study, but it does increase the likelihood of success. Pilot studies fulfill a range of important functions and can provide valuable insights for other researchers. There is a need for more discussion among researchers of both the process and outcomes of pilot studies.

1,434 citations


Authors

Showing all 21424 results

NameH-indexPapersCitations
Paul M. Thompson1832271146736
Feng Zhang1721278181865
Ian J. Deary1661795114161
Peter A. R. Ade1621387138051
David W. Johnson1602714140778
Pete Smith1562464138819
Naveed Sattar1551326116368
John R. Hodges14981282709
Ruth J. F. Loos14264792485
Alan J. Silman14170892864
Michael J. Keating140116976353
David Price138168793535
John D. Scott13562583878
Aarno Palotie12971189975
Rajat Gupta126124072881
Network Information
Related Institutions (5)
University of Edinburgh
151.6K papers, 6.6M citations

95% related

University College London
210.6K papers, 9.8M citations

94% related

University of Manchester
168K papers, 6.4M citations

94% related

University of Oxford
258.1K papers, 12.9M citations

94% related

University of Cambridge
282.2K papers, 14.4M citations

94% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023141
2022362
20212,195
20202,118
20191,846
20181,894