Evidence map›Paper›PMID 24178511›Full record

ArticleThrombosis and haemostasis2013

Gene-centric association signals for haemostasis and thrombosis traits identified with the HumanCVD BeadChip.

Tom R Gaunt, Delilah Zabaneh, Sonia Shah, Anna Guyatt, Christophe Ladroue, Meena Kumari, Fotios Drenos, Tina Shah, Philippa J Talmud, Juan Pablo Casas and 8 more

Open access · greenAbstract read
In one paragraph

Article in Thrombosis and haemostasis, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 5 institutions in 2 countries.

Tom R Gaunt *MRC Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK.
Delilah Zabaneh *University College London Genetics Institute, Department of Genetics, Environment and Evolution, Gower St, London WC1E 6BT, UK.
Sonia ShahUniversity College London Genetics Institute, Department of Genetics, Environment and Evolution, Gower St, London WC1E 6BT, UK.
Anna GuyattMRC Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK.
Christophe LadroueMRC Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK.
Meena KumariGenetic Epidemiology Group, Department of Epidemiology and Public Health, University College London, 1-19 Torrington Street, London WC1E 6BT, UK.
Fotios DrenosCentre for Cardiovascular Genetics, Institute of Cardiovascular Science, University College London, 5 University St, London WC1E 6JF, UK.
Tina ShahGenetic Epidemiology Group, Department of Epidemiology and Public Health, University College London, 1-19 Torrington Street, London WC1E 6BT, UK.
Philippa J TalmudCentre for Cardiovascular Genetics, Institute of Cardiovascular Science, University College London, 5 University St, London WC1E 6JF, UK.
Juan Pablo CasasDepartment of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK.
Gordon LoweInstitute of Cardiovascular & Medical Sciences, Room 335, BHF Glasgow Cardiovascular Research Centre, University of Glasgow, 126 University Place, Glasgow, G12 8TA, UK.
Ann RumleyInstitute of Cardiovascular & Medical Sciences, Room 335, BHF Glasgow Cardiovascular Research Centre, University of Glasgow, 126 University Place, Glasgow, G12 8TA, UK.
Debbie A LawlorMRC Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK.
Mika KivimakiGenetic Epidemiology Group, Department of Epidemiology and Public Health, University College London, 1-19 Torrington Street, London WC1E 6BT, UK.
John WhittakerDepartment of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK.
Aroon D HingoraniGenetic Epidemiology Group, Department of Epidemiology and Public Health, University College London, 1-19 Torrington Street, London WC1E 6BT, UK.
Steve E Humphries *University College London Genetics Institute, Department of Genetics, Environment and Evolution, Gower St, London WC1E 6BT, UK.
Ian N Day *MRC Centre for Causal Analyses in Translational Epidemiology, School of Social and Community Medicine, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK.
University College London · GBUniversity of Bristol · GBAge UK · GBUniversidad de Londres · MXUniversity of Glasgow · GB

Funding

CHANGES IN HEALTH: SOCIO-ECONOMIC STATUS AND PATHWAYSR37AG013196 · NIA · UNIVERSITY OF LONDON INST OF NEUROLOGY · PI MARMOT, MICHAEL G · 1999 to 2008
$4.3M
Socio-economic status and heterogeneity in agingR01AG013196 · NIA · UNIVERSITY OF LONDON INST OF NEUROLOGY · PI MARMOT, MICHAEL G, SINGH-MANOUX, ARCHANA · 1996 to 2013
$3.5M
Socioeconomic gradient in CHD in early old ageR01HL036310 · NHLBI · UNIVERSITY OF LONDON · PI KIVIMAKI, MIKA J, MARMOT, MICHAEL G · 1986 to 2012
$3.1M
British Heart Foundation PG/07/131/24254British Heart Foundation PG/09/022/26739British Heart Foundation RG/08/008/25291Medical Research Council G1000427Medical Research Council MC_UU_12013/8Medical Research Council MR/K013351/1NHLBI NIH HHS R01 HL036310NIA NIH HHS R01 AG013196NIA NIH HHS R37 AG013196
6 · The paper itself

Abstract

Coagulation phenotypes show strong intercorrelations, affect cardiovascular disease risk and are influenced by genetic variants. The objective of this study was to search for novel genetic variants influencing the following coagulation phenotypes: factor VII levels, fibrinogen levels, plasma viscosity and platelet count. We genotyped the British Women's Heart and Health Study (n=3,445) and the Whitehall II study (n=5,059) using the Illumina HumanCVD BeadArray to investigate genetic associations and pleiotropy. In addition to previously reported associations (SH2B3, F7/F10, PROCR, GCKR, FGA/FGB/FGG, IL5), we identified novel associations at GRK5 (rs10128498, p=1.30x10(-6)), GCKR (rs1260326, p=1.63x10(-6)), ZNF259-APOA5 (rs651821, p=7.17x10(-6)) with plasma viscosity; and at CSF1 (rs333948, p=8.88x10(-6)) with platelet count. A pleiotropic effect was identified in GCKR which associated with factor VII (p=2.16x10(-7)) and plasma viscosity (p=1.63x10(-6)), and, to a lesser extent, ZNF259-APOA5 which also associated with factor VII and fibrinogen (p<1.00x10-²) and plasma viscosity (p<1.00x10(-5)). Triglyceride associated variants were overrepresented in factor VII and plasma viscosity associations. Adjusting for triglyceride levels resulted in attenuation of associations at the GCKR and ZNF259-APOA5 loci. In addition to confirming previously reported associations, we identified four single nucleotide polymorphisms (SNPs) associated with plasma viscosity and platelet count and found evidence of pleiotropic effects with SNPs in GCKR and ZNF259-APOA5. These triglyceride-associated, pleiotropic SNPs suggest a possible causal role for triglycerides in coagulation.

Indexed as

Adaptor Proteins, Signal TransducingApolipoprotein A-VApolipoproteins ABlood PlateletsBlood ViscosityCarrier ProteinsCell CountDNA Mutational AnalysisFactor VIIFibrinogenGenetic Association StudiesG-Protein-Coupled Receptor Kinase 5HemostasisHumansMacrophage Colony-Stimulating FactorMembrane Transport ProteinsAdaptor Proteins, Signal TransducingAPOA5 protein, humanApolipoprotein A-VApolipoproteins ACarrier ProteinsFactor VIIFibrinogenGCKR protein, humanG-Protein-Coupled Receptor Kinase 5GRK5 protein, humanMacrophage Colony-Stimulating FactorMembrane Transport ProteinsZPR1 protein, humanclotting factorsgenetic associationHaemostasisHumanCVDthrombosis

Identifiers

PMID24178511
PMCPMC4067543
OpenAlexW2114452675

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.