Evidence map›Paper›PMID 29695241›Full record

SynthesisCardiovascular diabetology2018

Novel risk genes identified in a genome-wide association study for coronary artery disease in patients with type 1 diabetes.

Romain Charmet, Seamus Duffy, Sareh Keshavarzi, Beata Gyorgy, Michel Marre, Peter Rossing, Amy Jayne McKnight, Alexander P Maxwell, Tarun Veer Singh Ahluwalia, Andrew D Paterson and 2 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Cardiovascular diabetology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 pooled it
4.7field-weighted citation impact, top 5% 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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it, 41 citations in OpenAlex.

  1. Pooled it
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  7. Four missense genetic variants inFrontiers in endocrinology · 2023
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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

12 authors at 7 institutions in 4 countries.

Romain CharmetInstitut National pour la Santé et la Recherche Médicale (INSERM), Unité Mixte de Recherche en Santé (UMR_S) 1166, Team Genomics & Pathophysiology of Cardiovascular Diseases, Sorbonne Universités, UPMC Univ. Paris 06, Paris, France.
Seamus DuffyCentre for Public Health, Queen's University of Belfast, Belfast, Northern Ireland, UK.
Sareh KeshavarziGenetics & Genome Biology Program, Hospital for Sick Children, Toronto, Canada.
Beata GyorgyInstitut National pour la Santé et la Recherche Médicale (INSERM), Unité Mixte de Recherche en Santé (UMR_S) 1166, Team Genomics & Pathophysiology of Cardiovascular Diseases, Sorbonne Universités, UPMC Univ. Paris 06, Paris, France.
Michel MarreDépartment de Diabétologie, Endocrinologie et Nutrition, Assistance Publique Hôpitaux de Paris, Hôpital Bichat, DHU FIRE, Paris, France.
Peter RossingSteno Diabetes Center Copenhagen, Gentofte, Denmark.
Amy Jayne McKnightCentre for Public Health, Queen's University of Belfast, Belfast, Northern Ireland, UK.
Alexander P MaxwellCentre for Public Health, Queen's University of Belfast, Belfast, Northern Ireland, UK.
Tarun Veer Singh AhluwaliaSteno Diabetes Center Copenhagen, Gentofte, Denmark.
Andrew D PatersonGenetics & Genome Biology Program, Hospital for Sick Children, Toronto, Canada.
David-Alexandre TrégouëtInstitut National pour la Santé et la Recherche Médicale (INSERM), Unité Mixte de Recherche en Santé (UMR_S) 1166, Team Genomics & Pathophysiology of Cardiovascular Diseases, Sorbonne Universités, UPMC Univ. Paris 06, Paris, France. david.tregouet@upmc.fr.ORCID 0000-0001-9084-7800
Samy HadjadjUFR de Médecine et Pharmacie, Université de Poitiers, Poitiers, France. samy.hadjadj@gmail.com.
Inserm · FRQueen's University Belfast · GBDélégation Paris 7 · FRHospital for Sick Children · CASteno Diabetes Centers · DKUniversity of Copenhagen · DKUniversity of Toronto · CA

Funding

Conseil Régional, Île-de-France CORRDIMMedical Research Council MC_PC_15025
6 · The paper itself

Abstract

backgroundPatients with type 1 diabetes are more at risk of coronary artery disease than the general population. Although evidence points to a genetic risk there have been no study investigating genetic risk factors of coronary artery disease specific to individuals with type 1 diabetes. To identify low frequency and common genetic variations associated with coronary artery disease in populations of individuals with type 1 diabetes.

methodsA two-stage genome wide association study was conducted. The discovery phase involved the meta-analysis of three genome-wide association cohorts totaling 434 patients with type 1 diabetes and coronary artery disease (cases) and 3123 T1D individuals with no evidence of coronary artery disease (controls). Replication of the top association signals (p < 10

resultsOne locus (rs115829748, located upstream of the MAP1B gene) reached the statistical threshold of 5 × 10

conclusionsThis study suggests three novel candidate genes for coronary artery disease in the subgroup of patients affected with type 1 diabetes. The detected associations deserve to be definitively validated in additional epidemiological studies.

Indexed as

Genetic LociPolymorphism, Single NucleotideAdaptor Proteins, Signal TransducingApolipoproteins ECase-Control StudiesCollagen Type IVComorbidityCoronary Artery DiseaseCyclin-Dependent KinasesDiabetes Mellitus, Type 1EuropeGenetic MarkersGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPhenotypeAdaptor Proteins, Signal TransducingANKS1A protein, humanApoE protein, humanApolipoproteins ECOL4A2 protein, humanCollagen Type IVCyclin-Dependent KinasesGenetic MarkersPCTAIRE-3 protein kinaseTRPP Cation ChannelsCase control studyCoronary artery diseaseDiabetic nephropathyEpidemiologyGenetic association studiesGenome-wide association studyMeta-analysisType 1 diabetes

Identifiers

PMID29695241
PMCPMC5916834
OpenAlexW2797886291

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.