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Dive into the research topics where Carmel Moore is active.

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Featured researches published by Carmel Moore.


European Heart Journal | 2013

Adherence to cardiovascular therapy: a meta-analysis of prevalence and clinical consequences

Rajiv Chowdhury; Hassan Khan; Emma E Heydon; Amir Shroufi; Saman Fahimi; Carmel Moore; Bruno H. Stricker; Shanthi Mendis; Albert Hofman; Jonathan Mant; Oscar H. Franco

AIMS The aim of this study was to determine the extent to which adherence to individual vascular medications, assessed by different methods, influences the absolute and relative risks (RRs) of cardiovascular disease (CVD) and all-cause mortality. METHODS AND RESULTS We performed a systematic review and meta-analysis of prospective epidemiological studies (cohort, nested case-control, or clinical trial) identified through electronic searches using MEDLINE, Web of Science, EMBASE, and Cochrane databases, involving adult populations (≥ 18 years old) and reporting risk estimates of cardiovascular medication adherence with any CVD (defined as any fatal or non-fatal coronary heart disease, stroke or sudden cardiac death) and/or all-cause mortality (defined as mortality from any cause) outcomes. Relative risks were combined using random-effects models. Forty-four unique prospective studies comprising 1 978 919 non-overlapping participants, with 135 627 CVD events and 94 126 cases of all-cause mortality. Overall, 60% (95% CI: 52-68%) of included participants had good adherence (adherence ≥ 80%) to cardiovascular medications. The RRs (95% CI) of development of CVD in those with good vs. poor (<80%) adherence were 0.85 (0.81-0.89) and 0.81 (0.76-0.86) for statins and antihypertensive medications, respectively. Corresponding RRs of all-cause mortality were 0.55 (0.46-0.67) and 0.71 (0.64-0.78) for good adherence to statins and antihypertensive agents. These associations remained consistent across subgroups representing different study characteristics. Estimated absolute risk differences for any CVD associated with poor medication adherence were 13 cases for any vascular medication, 9 cases for statins and 13 cases for antihypertensive agents, per 100 000 individuals per year. CONCLUSION A substantial proportion of people do not adhere adequately to cardiovascular medications, and the prevalence of suboptimal adherence is similar across all individual CVD medications. Absolute and relative risk assessments demonstrate that a considerable proportion of all CVD events (~9% in Europe) could be attributed to poor adherence to vascular medications alone, and that the level of optimal adherence confers a significant inverse association with subsequent adverse outcomes. Measures to enhance adherence to help maximize the potentials of effective cardiac therapies in the clinical setting are urgently required.


Nature Neuroscience | 2016

Rare loss-of-function variants in SETD1A are associated with schizophrenia and developmental disorders

Tarjinder Singh; Mitja I. Kurki; David Curtis; Shaun Purcell; Lucy Crooks; Jeremy McRae; Jaana Suvisaari; Himanshu Chheda; Douglas Blackwood; Gerome Breen; Olli Pietiläinen; Sebastian S. Gerety; Muhammad Ayub; Moira Blyth; Trevor Cole; David A. Collier; Eve L. Coomber; Nicholas John Craddock; Mark J. Daly; John Danesh; Marta DiForti; Alison Foster; Nelson B. Freimer; Daniel H. Geschwind; Mandy Johnstone; Shelagh Joss; G. Kirov; Jarmo Körkkö; Outi Kuismin; Peter Holmans

By analyzing the whole-exome sequences of 4,264 schizophrenia cases, 9,343 controls and 1,077 trios, we identified a genome-wide significant association between rare loss-of-function (LoF) variants in SETD1A and risk for schizophrenia (P = 3.3 × 10−9). We found only two heterozygous LoF variants in 45,376 exomes from individuals without a neuropsychiatric diagnosis, indicating that SETD1A is substantially depleted of LoF variants in the general population. Seven of the ten individuals with schizophrenia carrying SETD1A LoF variants also had learning difficulties. We further identified four SETD1A LoF carriers among 4,281 children with severe developmental disorders and two more carriers in an independent sample of 5,720 Finnish exomes, both with notable neuropsychiatric phenotypes. Together, our observations indicate that LoF variants in SETD1A cause a range of neurodevelopmental disorders, including schizophrenia. Combining these data with previous common variant evidence, we suggest that epigenetic dysregulation, specifically in the histone H3K4 methylation pathway, is an important mechanism in the pathogenesis of schizophrenia.


Cell | 2016

The Allelic Landscape of Human Blood Cell Trait Variation and Links to Common Complex Disease

William Astle; Heather Elding; Tao Jiang; Dave Allen; Dace Ruklisa; Alice L. Mann; Daniel Mead; Heleen Bouman; Fernando Riveros-Mckay; Myrto Kostadima; John J. Lambourne; Suthesh Sivapalaratnam; Kate Downes; Kousik Kundu; Lorenzo Bomba; Kim Berentsen; John R. Bradley; Louise C. Daugherty; Olivier Delaneau; Kathleen Freson; Stephen F. Garner; Luigi Grassi; Jose A. Guerrero; Matthias Haimel; Eva M. Janssen-Megens; Anita M. Kaan; Mihir Anant Kamat; Bowon Kim; Amit Mandoli; Jonathan Marchini

Summary Many common variants have been associated with hematological traits, but identification of causal genes and pathways has proven challenging. We performed a genome-wide association analysis in the UK Biobank and INTERVAL studies, testing 29.5 million genetic variants for association with 36 red cell, white cell, and platelet properties in 173,480 European-ancestry participants. This effort yielded hundreds of low frequency (<5%) and rare (<1%) variants with a strong impact on blood cell phenotypes. Our data highlight general properties of the allelic architecture of complex traits, including the proportion of the heritable component of each blood trait explained by the polygenic signal across different genome regulatory domains. Finally, through Mendelian randomization, we provide evidence of shared genetic pathways linking blood cell indices with complex pathologies, including autoimmune diseases, schizophrenia, and coronary heart disease and evidence suggesting previously reported population associations between blood cell indices and cardiovascular disease may be non-causal.


Nature Genetics | 2017

Genome-wide association study of primary sclerosing cholangitis identifies new risk loci and quantifies the genetic relationship with inflammatory bowel disease

Sun Gou Ji; Brian D. Juran; Sören Mucha; Trine Folseraas; Luke Jostins; Espen Melum; Natsuhiko Kumasaka; Elizabeth J. Atkinson; Erik M. Schlicht; Jimmy Z. Liu; Tejas Shah; Javier Gutierrez-Achury; Kirsten Muri Boberg; Annika Bergquist; Severine Vermeire; Bertus Eksteen; Peter R. Durie; Martti Färkkilä; Tobias Müller; Christoph Schramm; Martina Sterneck; Tobias J. Weismüller; Daniel Gotthardt; David Ellinghaus; Felix Braun; A Teufel; Mattias Laudes; Wolfgang Lieb; Gunnar Jacobs; Ulrich Beuers

Primary sclerosing cholangitis (PSC) is a rare progressive disorder leading to bile duct destruction; ∼75% of patients have comorbid inflammatory bowel disease (IBD). We undertook the largest genome-wide association study of PSC (4,796 cases and 19,955 population controls) and identified four new genome-wide significant loci. The most associated SNP at one locus affects splicing and expression of UBASH3A, with the protective allele (C) predicted to cause nonstop-mediated mRNA decay and lower expression of UBASH3A. Further analyses based on common variants suggested that the genome-wide genetic correlation (rG) between PSC and ulcerative colitis (UC) (rG = 0.29) was significantly greater than that between PSC and Crohns disease (CD) (rG = 0.04) (P = 2.55 × 10−15). UC and CD were genetically more similar to each other (rG = 0.56) than either was to PSC (P < 1.0 × 10−15). Our study represents a substantial advance in understanding of the genetics of PSC.


British Journal of Nutrition | 2015

Comparative validity of vitamin C and carotenoids as indicators of fruit and vegetable intake: a systematic review and meta-analysis of randomised controlled trials.

Mary Pennant; Marinka Steur; Carmel Moore; Adam S. Butterworth; Laura Johnson

Circulating vitamin C and carotenoids are used as biomarkers of fruit and vegetable intake in research, but their comparative validity has never been meta-analysed. PubMed, EMBASE, CENTRAL, CINAHL and Web of Science were systematically searched up to December 2013 for randomised trials of different amounts of fruit and vegetable provision on changes in blood concentrations of carotenoids or vitamin C. Reporting followed PRISMA guidelines. Evidence quality was assessed using the GRADE system. Random effects meta-analysis combined estimates and meta-regression tested for sub-group differences. In all, nineteen fruit and vegetable trials (n 1382) measured at least one biomarker, of which nine (n 667) included five common carotenoids and vitamin C. Evidence quality was low and between-trial heterogeneity (I 2) ranged from 74% for vitamin C to 94 % for α-carotene. Groups provided with more fruit and vegetables had increased blood concentrations of vitamin C, α-carotene, β-carotene, β-cryptoxanthin and lutein but not lycopene. However, no clear dose-response effect was observed. Vitamin C showed the largest between-group difference in standardised mean change from the pre-intervention to the post-intervention period (smd 0·94; 95% CI 0·66, 1·22), followed by lutein (smd 0·70; 95% CI 0·37, 1·03) and α-carotene (smd 0·63; 95% CI 0·25, 1·01), but all CI were overlapping, suggesting that none of the biomarkers responded more than the others. Therefore, until further evidence identifies a particular biomarker to be superior, group-level compliance to fruit and vegetable interventions can be indicated equally well by vitamin C or a range of carotenoids. High heterogeneity and a lack of dose-response suggest that individual-level biomarker responses to fruit and vegetables are highly variable.


Archive | 2017

Efficiency and safety of varying the frequency of whole blood donation: randomised trial of 45,000 donors

E Di Angelantonio; Simon G. Thompson; Stephen Kaptoge; Carmel Moore; Mary Walker; John Danesh; Willem H. Ouwehand

EDA received research funding from the UK Medical Research Council, British Heart Foundation, National Institute for Health Research, and NHSBT during the conduct of the study. SGT received grants from the UK Medical Research Council, British Heart Foundation, National Institute for Health Research, and NHSBT during the conduct of the study. SK received grants from the UK Medical Research Council, British Heart Foundation, National Institute for Health Research, and NHSBT during the conduct of the study. JD has received research funding from the UK Medical Research Council, British Heart Foundation, National Institute for Health Research, NHSBT, European Commission, European Research Council, Merck Sharpe & Dohme UK, Biogen, Novartis, Pfizer, Merck, and Wellcome Trust during the conduct of the study. All other members of the writing committee declare no competing interests. The trial was funded by NHSBT and the NIHR Blood and Transplant Research Unit in Donor Health and Genomics (NIHR BTRU-2014-10024). The trial’s coordinating centre at the Department of Public Health and Primary Care at the University of Cambridge, Cambridge, UK, has received core support from the UK Medical Research Council (G0800270), British Heart Foundation (SP/09/002), and the NIHR Cambridge Biomedical Research Centre. Investigators at the University of Oxford, Oxford, UK, have been supported by the Research and Development Programme of NHSBT, the NHSBT Howard Ostin Trust Fund, and the NIHR Oxford Biomedical Research Centre through the programme grant NIHR-RP-PG-0310-1004.


Nature Genetics | 2016

Distinct genetic architectures for syndromic and nonsyndromic congenital heart defects identified by exome sequencing

Alejandro Sifrim; Marc-Phillip Hitz; Anna Wilsdon; Jeroen Breckpot; Saeed Al Turki; Bernard Thienpont; Jeremy McRae; Tomas Fitzgerald; Tarjinder Singh; G. J. Swaminathan; Elena Prigmore; Diana Rajan; Hashim Abdul-Khaliq; Siddharth Banka; Ulrike M M Bauer; Jamie Bentham; Felix Berger; Shoumo Bhattacharya; Frances Bu'Lock; Natalie Canham; Irina-Gabriela Colgiu; Catherine Cosgrove; Helen Cox; Ingo Daehnert; Allan Daly; John Danesh; Alan Fryer; Marc Gewillig; Emma Hobson; Kirstin Hoff


PLOS ONE | 2011

Association between Walking Speed and Age in Healthy, Free-Living Individuals Using Mobile Accelerometry—A Cross-Sectional Study

Michaela Schimpl; Carmel Moore; Christian Lederer; Anneke Neuhaus; Jennifer Sambrook; John Danesh; Willem H. Ouwehand; Martin Daumer


Trials | 2014

The INTERVAL Trial to determine whether intervals between blood donations can be safely and acceptably decreased to optimise blood supply: study protocol for a randomised controlled trial

Carmel Moore; Jennifer Sambrook; Matthew Walker; Zoe Tolkien; Stephen Kaptoge; David Allen; Susan Mehenny; Jonathan Mant; Emanuele Di Angelantonio; Simon G. Thompson; Willem H. Ouwehand; David J. Roberts; John Danesh


BMC Public Health | 2015

Information and Risk Modification Trial (INFORM): design of a randomised controlled trial of communicating different types of information about coronary heart disease risk, alongside lifestyle advice, to achieve change in health-related behaviour

Barbora Silarova; Joanne Lucas; Adam S. Butterworth; Emanuele Di Angelantonio; Kathryn Lawrence; Stuart Mackintosh; Carmel Moore; Rupert Payne; Stephen J. Sharp; Guy Shefer; Zoe Tolkien; Juliet Usher-Smith; Matthew Walker; John Danesh; Simon J. Griffin

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John Danesh

University of Cambridge

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Zoe Tolkien

University of Cambridge

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Matthew Walker

Massachusetts Institute of Technology

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Guy Shefer

University of Cambridge

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Jeremy McRae

Wellcome Trust Sanger Institute

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