Evidence map›Paper›PMID 29212778›Full record

SynthesisCirculation research2018

Identification of 64 Novel Genetic Loci Provides an Expanded View on the Genetic Architecture of Coronary Artery Disease.

Pim van der Harst, Niek Verweij

Abstract readMeta-Analysis
In one paragraph

Synthesis in Circulation research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 730 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
730citing papers in PubMed, 13 pooled it
–field-weighted citation impact
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

730 citing papers in PubMed, 13 syntheses or guidelines pooled it.

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670 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Pim van der HarstFrom the Department of Cardiology (P.v.d.H., N.V.) and Department of Genetics (P.v.d.H.), University Medical Center Groningen, University of Groningen, The Netherlands; and Durrer Center for Cardiogenetic Research, Netherlands Heart Institute, Utrecht (P.v.d.H.). p.van.der.harst@umcg.nl.
Niek VerweijFrom the Department of Cardiology (P.v.d.H., N.V.) and Department of Genetics (P.v.d.H.), University Medical Center Groningen, University of Groningen, The Netherlands; and Durrer Center for Cardiogenetic Research, Netherlands Heart Institute, Utrecht (P.v.d.H.).

Funding

Medical Research Council MC_QA137853
6 · The paper itself

Abstract

rationaleCoronary artery disease (CAD) is a complex phenotype driven by genetic and environmental factors. Ninety-seven genetic risk loci have been identified to date, but the identification of additional susceptibility loci might be important to enhance our understanding of the genetic architecture of CAD.

objectiveTo expand the number of genome-wide significant loci, catalog functional insights, and enhance our understanding of the genetic architecture of CAD. METHODS AND

resultsWe performed a genome-wide association study in 34 541 CAD cases and 261 984 controls of UK Biobank resource followed by replication in 88 192 cases and 162 544 controls from CARDIoGRAMplusC4D. We identified 75 loci that replicated and were genome-wide significant (

conclusionsWe identified 64 novel genetic risk loci for CAD and performed fine mapping of all 161 risk loci to obtain a credible set of causal variants. The large expansion of reconstituted gene sets argues in favor of an expanded omnigenic model view on the genetic architecture of CAD.

Indexed as

Polymorphism, Single Nucleotide3' Untranslated RegionsAtrial FibrillationCase-Control StudiesCausalityChromatinCoronary Artery DiseaseEnhancer Elements, GeneticGene Expression RegulationGenome-Wide Association StudyHeart FailureHumansMutation, MissenseQuantitative Trait Loci3' Untranslated RegionsChromatincomputational biologycoronary artery diseasegeneticsgenome-wide association studysample size

Identifiers

PMID29212778
PMCPMC5805277

What OpenQuestion holds

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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.