Evidence map›Paper›PMID 26074316›Full record

SynthesisAtherosclerosis2015

Genetic variants primarily associated with type 2 diabetes are related to coronary artery disease risk.

Henning Jansen, Christina Loley, Wolfgang Lieb, Michael J Pencina, Christopher P Nelson, Sekar Kathiresan, Gina M Peloso, Benjamin F Voight, Muredach P Reilly, Themistocles L Assimes and 16 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Atherosclerosis, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

26 authors at 19 institutions in 6 countries.

Henning JansenDeutsches Herzzentrum and DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Technische Universität München, Munich, Germany.
Christina LoleyInstitut für Medizinische Biometrie und Statistik, Universität zu Lübeck, Lübeck, Germany.
Wolfgang LiebInstitut für Epidemiologie, Universität zu Kiel, Kiel, Germany.
Michael J PencinaDepartment of Biostatistics and Bioinformatics, Duke Clinical Research Institute, Durham, NC, USA.
Christopher P NelsonDepartment of Cardiovascular Sciences, University of Leicester, Glenfield Hospital, Leicester, LE3 9QP, UK; Leicester National Institute for Health Research Biomedical Research Unit in Cardiovascular Disease, Glenfield Hospital, Leicester, LE3 9QP, UK.
Sekar KathiresanCardiovascular Research Center and Cardiology Division, Massachusetts General Hospital, Boston, MA, USA; Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA; Program in Medical and Population Genetics, Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, MA, USA.
Gina M PelosoCenter for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA.
Benjamin F VoightThe Cardiovascular Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Muredach P ReillyThe Cardiovascular Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Themistocles L AssimesDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Eric BoerwinkleUniversity of Texas Health Science Center, Human Genetics Center and Institute of Molecular Medicine, Houston, TX, USA.
Christian HengstenbergDeutsches Herzzentrum and DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Technische Universität München, Munich, Germany.
Reijo LaaksonenScience Center, Tampere University Hospital, Tampere, Finland.
Ruth McPhersonThe John & Jennifer Ruddy Canadian Cardiovascular Genetics Centre, University of Ottawa Heart Institute, Ottawa, Canada.
Robert RobertsThe John & Jennifer Ruddy Canadian Cardiovascular Genetics Centre, University of Ottawa Heart Institute, Ottawa, Canada.
Unnur ThorsteinsdottirdeCODE Genetics and University of Iceland, Faculty of Medicine, 101, Reykjavik, Iceland.
Annette PetersInstitut für Epidemiologie II, Helmholtz Zentrum München, Neuherberg, Germany; Munich Heart Alliance, Munich, Germany.
Christian GiegerInstitut für Epidemiologie II, Helmholtz Zentrum München, Neuherberg, Germany; Munich Heart Alliance, Munich, Germany.
Rajesh RawalInstitut für Epidemiologie II, Helmholtz Zentrum München, Neuherberg, Germany; Munich Heart Alliance, Munich, Germany.
John R ThompsonDepartment of Health Sciences, University of Leicester, Leicester, UK.
Inke R KönigInstitut für Medizinische Biometrie und Statistik, Universität zu Lübeck, Lübeck, Germany.
CARDIoGRAM consortium
Ramachandran S VasanSchool of Medicine, Section of Preventive Medicine and Epidemiology, Boston University, Boston, MA, USA.
Jeanette ErdmannInstitut für Integrative und Experimentelle Genomik Universität zu Lübeck, DZHK (German Centre for Cardiovascular Research), Partner Site Hamburg/Kiel/Lübeck, Lübeck, Germany.
Nilesh J SamaniDepartment of Cardiovascular Sciences, University of Leicester, Glenfield Hospital, Leicester, LE3 9QP, UK; Leicester National Institute for Health Research Biomedical Research Unit in Cardiovascular Disease, Glenfield Hospital, Leicester, LE3 9QP, UK.
Heribert SchunkertDeutsches Herzzentrum and DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Technische Universität München, Munich, Germany.
German Centre for Cardiovascular Research · DEHelmholtz Zentrum München · DEUniversity of Leicester · GBUniversity of Lübeck · DEUniversity of Ottawa · CABavarian Research Alliance · DEBoston University · USCardiovascular Institute of the South · USChristian-Albrechts-Universität zu Kiel · DEClinical Research Institute · USGlenfield Hospital · GBMassachusetts General Hospital · USMassachusetts Institute of Technology · USStanford University · USTampere University Hospital · FITechnical University of Munich · DEThe University of Texas Health Science Center at Houston · USUniversity of Iceland · ISUniversity of Pennsylvania · US

Funding

Structural Determinants Of Ceruloplasmin Inflammatory ActivityP01HL076491 · NHLBI · CLEVELAND CLINIC LERNER COM-CWRU · PI HAZEN, STANLEY L · 2004 to 2019
$27.3M
MULTIDISCIPLINARY RESEARCH TRAINING IN CARDIOLOGYT32HL007208 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Patrick Thomas Ellinor, David E Sosnovik · 1985 to 2026
$16.1M
Center for Clinical and Translational Sciences (CCTS)UL1TR000371 · NCATS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MCPHERSON, DAVID D · 2012 to 2016
$13.4M
Regression of Atherosclerosis CoreP01HL098055 · NHLBI · CLEVELAND CLINIC LERNER COM-CWRU · PI DIDONATO, JOSEPH · 2010 to 2014
$12.1M
Using genetic variation to study biology of blood lipids & coronary heart diseaseR01HL127564 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Pradeep Natarajan, Gina Marie Peloso · 2015 to 2026
$7.3M
Whole Genome Association for Early Coronary Artery Disease and Related PhenotypesR01HL087647 · NHLBI · STANFORD UNIVERSITY · PI QUERTERMOUS, THOMAS · 2006 to 2008
$4.6M
Nitrative stress in heart failureR01HL103931 · NHLBI · CLEVELAND CLINIC LERNER COM-CWRU · PI TANG, WAI HONG WILSON · 2010 to 2014
$3.8M
Algorithms to identify non-coding mutational burden and disease-relevant pathwaysR01DK101478 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI VOIGHT, BENJAMIN FRANKLIN · 2014 to 2018
$2.9M
Discovery of Mendelian Dyslipidemia and Heart Attack Genes Using Exome SequencingR01HL107816 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI KATHIRESAN, SEKAR · 2011 to 2015
$2.7M
Genome-wide association study of MI in CaucasiansR01HL089650 · NHLBI · DECODE GENETICS, INC. · PI GULCHER, JEFFREY R · 2007 to 2010
$2.3M
Molecular Mechanisms of Insulin Resistance Associated LociR01DK107437 · NIDDK · STANFORD UNIVERSITY · PI QUERTERMOUS, THOMAS · 2016 to 2019
$2.2M
Biomarkers for Complications in Type 1 Diabetes (DCCT/EDIC)R01DK080732 · NIDDK · CLEVELAND CLINIC LERNER COM-CWRU · PI HAZEN, STANLEY L · 2009 to 2010
$1.4M
NCATS NIH HHS UL1 TR000371NHLBI NIH HHS N01 HC055015NHLBI NIH HHS N01 HC055016NHLBI NIH HHS N01 HC055018NHLBI NIH HHS N01 HC055019NHLBI NIH HHS N01 HC055020NHLBI NIH HHS N01 HC055021NHLBI NIH HHS N01 HC055022NHLBI NIH HHS P01 HL076491NHLBI NIH HHS P01 HL098055NHLBI NIH HHS R01 HL087647NHLBI NIH HHS R01 HL089650NHLBI NIH HHS R01 HL103931NHLBI NIH HHS R01 HL107816NHLBI NIH HHS R01 HL127564NHLBI NIH HHS T32 HL007208NIDDK NIH HHS R01 DK080732NIDDK NIH HHS R01 DK101478NIDDK NIH HHS R01 DK107437
6 · The paper itself

Abstract

backgroundThe mechanisms underlying the association between diabetes and coronary artery disease (CAD) risk are unclear. We aimed to assess this association by studying genetic variants that have been shown to associate with type 2 diabetes (T2DM). If the association between diabetes and CAD is causal, we expected to observe an association of these variants with CAD as well. METHODS AND

resultsWe studied all genetic variants currently known to be associated with T2DM at a genome-wide significant level (p < 5*10(-8)) in CARDIoGRAM, a genome-wide data-set of CAD including 22,233 CAD cases and 64,762 controls. Out of the 44 published T2DM SNPs 10 were significantly associated with CAD in CARDIoGRAM (OR>1, p < 0.05), more than expected by chance (p = 5.0*10(-5)). Considering all 44 SNPs, the average CAD risk observed per individual T2DM risk allele was 1.0076 (95% confidence interval (CI), 0.9973-1.0180). Such average risk increase was significantly lower than the increase expected based on i) the published effects of the SNPs on T2DM risk and ii) the effect of T2DM on CAD risk as observed in the Framingham Heart Study, which suggested a risk of 1.067 per allele (p = 7.2*10(-10) vs. the observed effect). Studying two risk scores based on risk alleles of the diabetes SNPs, one score using individual level data in 9856 subjects, and the second score on average effects of reported beta-coefficients from the entire CARDIoGRAM data-set, we again observed a significant - yet smaller than expected - association with CAD.

conclusionsOur data indicate that an association between type 2 diabetes related SNPs and CAD exists. However, the effects on CAD risk appear to be by far lower than what would be expected based on the effects of risk alleles on T2DM and the effect of T2DM on CAD in the epidemiological setting.

Indexed as

Polymorphism, Single NucleotideCase-Control StudiesComorbidityCoronary Artery DiseaseDatabases, GeneticDiabetes Mellitus, Type 2Diabetic AngiopathiesEuropeGene FrequencyGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansNorth AmericaOdds RatioPhenotypeRisk AssessmentCardiovascular diseaseCoronary artery diseaseGenome-wide associationSNPType-2 diabetes

Identifiers

PMID26074316
PMCPMC4536952
OpenAlexW2142214485

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.