Evidence map›Paper›PMID 23539218›Full record

ArticleArteriosclerosis, thrombosis, and vascular biology2013

Gene expression signatures of coronary heart disease.

Roby Joehanes, Saixia Ying, Tianxiao Huan, Andrew D Johnson, Nalini Raghavachari, Richard Wang, Poching Liu, Kimberly A Woodhouse, Shurjo K Sen, Kahraman Tanriverdi and 5 more

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Arteriosclerosis, thrombosis, and vascular biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 4 pooled it
4.6field-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

78 citing papers in PubMed, 4 syntheses or guidelines pooled it, 119 citations in OpenAlex.

  1. Pooled it
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18 more citing papers are in PubMed but not listed here.

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

15 authors at 3 institutions in 1 country.

Roby JoehanesThe National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA 01702, USA.
Saixia Ying
Tianxiao Huan
Andrew D Johnson
Nalini Raghavachari
Richard Wang
Poching Liu
Kimberly A Woodhouse
Shurjo K Sen
Kahraman Tanriverdi
Paul Courchesne
Jane E Freedman
Christopher J O'Donnell
Daniel Levy
Peter J Munson
University of Massachusetts Chan Medical School · USFramingham Heart Study · USNational Heart Lung and Blood Institute · US

Funding

Framingham Project/LevyZIAHL006001 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI LEVY, DANIEL · 2009 to 2025
$51.1M
Cardiovascular Genomics and Bioinformatics projectsZIAHL006170 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI JOHNSON, ANDREW · 2013 to 2025
$25.3M
Genomic Epidemiology of Cardiovascular DiseaseZIAHL006002 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI O'DONNELL, CHRISTOPHER · 2009 to 2015
$8.0M
Role of Innate Immune System in Pathogen Induced Chronic InflammationP01AI078894 · NIAID · BOSTON UNIVERSITY MEDICAL CAMPUS · PI MADICO, GUILLERMO · 2010 to 2014
$7.4M
Statistical And Computational Methods For Gene Expression and Proteomic AnalysisZIACT000266 · CIT · CENTER FOR INFORMATION TECHNOLOGY · PI MUNSON, PETER J · 2009 to 2016
$4.2M
Gene Expression for Functional Genomics in Human PopulationsZIAHL006175 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI O'DONNELL, CHRISTOPHER · 2013 to 2015
$2.2M
Functional Genetic Variation Underlying Cardiovascular Genomic EpidemiologyZIAHL006173 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI O'DONNELL, CHRISTOPHER · 2013 to 2015
$2.0M
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
–
Intramural NIH HHS Z99 CL999999Intramural NIH HHS Z99 CT999999Intramural NIH HHS Z99 HL999999NHLBI NIH HHS N01 HC025195NHLBI NIH HHS N01-HC-25195NIAID NIH HHS P01 AI078894
6 · The paper itself

Abstract

objectiveTo identify transcriptomic biomarkers of coronary heart disease (CHD) in 188 cases with CHD and 188 age- and sex-matched controls who were participants in the Framingham Heart Study. APPROACH AND

resultsA total of 35 genes were differentially expressed in cases with CHD versus controls at false discovery rate<0.5, including GZMB, TMEM56, and GUK1. Cluster analysis revealed 3 gene clusters associated with CHD, 2 linked to increased erythrocyte production and a third to reduced natural killer and T cell activity in cases with CHD. Exon-level results corroborated and extended the gene-level results. Alternative splicing analysis suggested that GUK1 and 38 other genes were differentially spliced in cases with CHD versus controls. Gene Ontology analysis linked ubiquitination and T-cell-related pathways with CHD.

conclusionsTwo bioinformatically defined groups of genes show consistent associations with CHD. Our findings are consistent with the hypotheses that hematopoesis is upregulated in CHD, possibly reflecting a compensatory mechanism, and that innate immune activity is disrupted in CHD or altered by its treatment. Transcriptomic signatures may be useful in identifying pathways associated with CHD and point toward novel therapeutic targets for its treatment and prevention.

Indexed as

AgedAge DistributionCase-Control StudiesCluster AnalysisCoronary DiseaseDNA, RecombinantExonsFemaleGenetic Predisposition to DiseaseGranzymesHumansIncidenceMaleMembrane ProteinsMicrofilament ProteinsMiddle AgedDNA, RecombinantGranzymesGZMB protein, humanMACO1 protein, humanMembrane ProteinsMicrofilament ProteinsNeurofibromin 2biomarkerscoronary artery diseasecoronary heart diseasegene expressionmyocardial infarctiontranscriptomics

Identifiers

PMID23539218
PMCPMC3684247
OpenAlexW2116404829

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.