Evidence map›Paper›PMID 24971157›Full record

ArticleGenome medicine2014

Gene expression profiles associated with acute myocardial infarction and risk of cardiovascular death.

Jinhee Kim, Nima Ghasemzadeh, Danny J Eapen, Neo Christopher Chung, John D Storey, Arshed A Quyyumi, Greg Gibson

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genome medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 3% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

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  12. Gene Expression Signature in Patients With Symptomatic Peripheral Artery Disease.Arteriosclerosis, thrombosis, and vascular biology · 2021
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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

7 authors at 3 institutions in 1 country.

Jinhee KimCenter for Integrative Genomics and School of Biology, Georgia Institute of Technology, Boggs Building 1-96, 770 State Street, Atlanta, GA 30332, USA.
Nima GhasemzadehSchool of Medicine, Division of Cardiology, Emory University, Atlanta, GA 30322, USA.
Danny J EapenSchool of Medicine, Division of Cardiology, Emory University, Atlanta, GA 30322, USA.
Neo Christopher ChungLewis-Sigler Institute, Carl Icahn Labs, Princeton University, Princeton, NJ 08544, USA.
John D StoreyLewis-Sigler Institute, Carl Icahn Labs, Princeton University, Princeton, NJ 08544, USA.
Arshed A QuyyumiSchool of Medicine, Division of Cardiology, Emory University, Atlanta, GA 30322, USA.
Greg GibsonCenter for Integrative Genomics and School of Biology, Georgia Institute of Technology, Boggs Building 1-96, 770 State Street, Atlanta, GA 30332, USA.
Emory University · USGeorgia Institute of Technology · USPrinceton University · US

Funding

Statistical Methods for X-Chromosome Genetic DataP01GM099568 · NIGMS · UNIVERSITY OF WASHINGTON · PI WEIR, BRUCE S. · 2012 to 2016
$7.3M
Statistical Methods for High-Throughput Gene Expression ProfilingR01HG002913 · NHGRI · UNIVERSITY OF WASHINGTON · PI STOREY, JOHN D · 2004 to 2015
$3.1M
NHGRI NIH HHS R01 HG002913NIGMS NIH HHS P01 GM099568
6 · The paper itself

Abstract

backgroundGenetic risk scores have been developed for coronary artery disease and atherosclerosis, but are not predictive of adverse cardiovascular events. We asked whether peripheral blood expression profiles may be predictive of acute myocardial infarction (AMI) and/or cardiovascular death.

methodsPeripheral blood samples from 338 subjects aged 62 ± 11 years with coronary artery disease (CAD) were analyzed in two phases (discovery N = 175, and replication N = 163), and followed for a mean 2.4 years for cardiovascular death. Gene expression was measured on Illumina HT-12 microarrays with two different normalization procedures to control technical and biological covariates. Whole genome genotyping was used to support comparative genome-wide association studies of gene expression. Analysis of variance was combined with receiver operating curve and survival analysis to define a transcriptional signature of cardiovascular death.

resultsIn both phases, there was significant differential expression between healthy and AMI groups with overall down-regulation of genes involved in T-lymphocyte signaling and up-regulation of inflammatory genes. Expression quantitative trait loci analysis provided evidence for altered local genetic regulation of transcript abundance in AMI samples. On follow-up there were 31 cardiovascular deaths. A principal component (PC1) score capturing covariance of 238 genes that were differentially expressed between deceased and survivors in the discovery phase significantly predicted risk of cardiovascular death in the replication and combined samples (hazard ratio = 8.5, P < 0.0001) and improved the C-statistic (area under the curve 0.82 to 0.91, P = 0.03) after adjustment for traditional covariates.

conclusionsA specific blood gene expression profile is associated with a significant risk of death in Caucasian subjects with CAD. This comprises a subset of transcripts that are also altered in expression during acute myocardial infarction.

Identifiers

PMID24971157
PMCPMC4071233
OpenAlexW2095486248

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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.