Evidence map›Paper›PMID 21804106›Full record

ArticleEuropean heart journal2012

Comparative analysis of genome-wide association studies signals for lipids, diabetes, and coronary heart disease: Cardiovascular Biomarker Genetics Collaboration.

Aspasia Angelakopoulou, Tina Shah, Reecha Sofat, Sonia Shah, Diane J Berry, Jackie Cooper, Jutta Palmen, Ioanna Tzoulaki, Andrew Wong, Barbara J Jefferis and 35 more

Open access · hybridAbstract readComparative Study
In one paragraph

Article in European heart journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 5 pooled it
8.6field-weighted citation impact, top 2% 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

52 citing papers in PubMed, 5 syntheses or guidelines pooled it, 114 citations in OpenAlex.

  1. Effect of 9p21.3 (lncRNA and CDKN2A/2B) variant on lipid profile.Frontiers in cardiovascular medicine · 2022
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  15. Polymorphism of rs599839 in theJournal of cardiovascular and thoracic research · 2023
    Article
  16. Article
  17. Article
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  19. Article
  20. Diet andNutrients · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

45 authors at 13 institutions in 5 countries.

Aspasia AngelakopoulouFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK.
Tina Shah
Reecha Sofat
Sonia Shah
Diane J Berry
Jackie Cooper
Jutta Palmen
Ioanna Tzoulaki
Andrew Wong
Barbara J Jefferis
Nikolas Maniatis
Fotios Drenos
Bruna Gigante
Rebecca Hardy
Ross C Laxton
Karin Leander
Anna Motterle
Iain A Simpson
Liam Smeeth
Andy Thomson
Claudio Verzilli
Diana Kuh
Helen Ireland
John Deanfield
Mark Caulfield
Chris Wallace
Nilesh Samani
Patricia B Munroe
Mark Lathrop
F Gerry R Fowkes
Michael Marmot
Peter H Whincup
John C Whittaker
Ulf de Faire
Mika Kivimaki
Meena Kumari
Elina Hypponen
Chris Power
Steve E Humphries
Philippa J Talmud
Jackie Price
Richard W Morris
Shu Ye
Juan P Casas
Aroon D Hingorani
University College London · GBKarolinska Institutet · SELondon School of Hygiene & Tropical Medicine · GBMRC Unit for Lifelong Health and Ageing · GBQueen Mary University of London · GBWilliam Harvey Research Institute · GBRoland Hill (United Kingdom) · GBUniversity of Edinburgh · GBCentre National de Recherche en Génomique Humaine · FRGlenfield Hospital · GBSt George's, University of London · GBUniversity of Ioannina · GRUniversity of London · GB

Funding

Project-001R01AG017644 · NIA · UNIVERSITY OF LONDON INST OF NEUROLOGY · PI Andrew Steptoe · 2000 to 2026
$56.2M
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
TRANSCRIPTIONAL REGULATION OF VWF GENEP01HL033014 · NHLBI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI ROSENBERG, ROBERT D · 1985 to 1994
–
SOCIAL FACTORS INFLUENCING MEDICAL OUTCOME MEASURESR01HS006516 · AHRQ · UNIVERSITY OF LONDON · PI MARMOT, MICHAEL G · 1990 to 1995
–
AHRQ HHS HS06516British Heart Foundation 068545/Z/02British Heart Foundation 076113/B/04/ZBritish Heart Foundation FS 05/125British Heart Foundation FS/07/011British Heart Foundation FS/07/021British Heart Foundation PG/02/128British Heart Foundation RG/04/003British Heart Foundation RG/07/008/23674British Heart Foundation RG/08/008/25291British Heart Foundation RG/08/013/25942British Heart Foundation RG08/014Department of Health PHCS/C4/4/016Medical Research Council FS/05/061/19501Medical Research Council G0000934Medical Research Council G0100222Medical Research Council G0400546Medical Research Council G0601653Medical Research Council G0902037Medical Research Council G1001799Medical Research Council G19/35Medical Research Council G8802774Medical Research Council G9521010Medical Research Council G9521010DMedical Research Council MC_U123092720Medical Research Council MC_U123092721Medical Research Council MC_U123092723Medical Research Council PG/98183NHLBI NIH HHS HL33014NHLBI NIH HHS HL36310NHLBI NIH HHS R01 HL036310NHLBI NIH HHS R01HL036310NIA NIH HHS AG13196NIA NIH HHS AG1764406-S1NIA NIH HHS R01 AG013196NIA NIH HHS R37 AG013196Wellcome Trust 076113/B/04/Z
6 · The paper itself

Abstract

aimsTo evaluate the associations of emergent genome-wide-association study-derived coronary heart disease (CHD)-associated single nucleotide polymorphisms (SNPs) with established and emerging risk factors, and the association of genome-wide-association study-derived lipid-associated SNPs with other risk factors and CHD events. METHODS AND

resultsUsing two case-control studies, three cross-sectional, and seven prospective studies with up to 25 000 individuals and 5794 CHD events we evaluated associations of 34 genome-wide-association study-identified SNPs with CHD risk and 16 CHD-associated risk factors or biomarkers. The Ch9p21 SNPs rs1333049 (OR 1.17; 95% confidence limits 1.11-1.24) and rs10757274 (OR 1.17; 1.09-1.26), MIA3 rs17465637 (OR 1.10; 1.04-1.15), Ch2q36 rs2943634 (OR 1.08; 1.03-1.14), APC rs383830 (OR 1.10; 1.02, 1.18), MTHFD1L rs6922269 (OR 1.10; 1.03, 1.16), CXCL12 rs501120 (OR 1.12; 1.04, 1.20), and SMAD3 rs17228212 (OR 1.11; 1.05, 1.17) were all associated with CHD risk, but not with the CHD biomarkers and risk factors measured. Among the 20 blood lipid-related SNPs, LPL rs17411031 was associated with a lower risk of CHD (OR 0.91; 0.84-0.97), an increase in Apolipoprotein AI and HDL-cholesterol, and reduced triglycerides. SORT1 rs599839 was associated with CHD risk (OR 1.20; 1.15-1.26) as well as total- and LDL-cholesterol, and apolipoprotein B. ANGPTL3 rs12042319 was associated with CHD risk (OR 1.11; 1.03, 1.19), total- and LDL-cholesterol, triglycerides, and interleukin-6.

conclusionSeveral SNPs predicting CHD events appear to involve pathways not currently indexed by the established or emerging risk factors; others involved changes in blood lipids including triglycerides or HDL-cholesterol as well as LDL-cholesterol. The overlapping association of SNPs with multiple risk factors and biomarkers supports the existence of shared points of regulation for these phenotypes.

Indexed as

AdultAgedBiomarkersBody Mass IndexCase-Control StudiesCoronary DiseaseDiabetes Mellitus, Type 2Diabetic CardiomyopathiesFemaleGenome-Wide Association StudyHumansLipidsMaleMiddle AgedPolymorphism, Single NucleotideProspective StudiesBiomarkersLipids

Identifiers

PMID21804106
PMCPMC3270041
OpenAlexW2118869024

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.