Evidence map›Paper›PMID 25948407›Full record

ArticleBMJ open2015

Genome-wide association study of perioperative myocardial infarction after coronary artery bypass surgery.

Miklos D Kertai, Yi-Ju Li, Yen-Wei Li, Yunqi Ji, John Alexander, Mark F Newman, Peter K Smith, Diane Joseph, Joseph P Mathew, Mihai V Podgoreanu and 1 more

Abstract read
In one paragraph

Article in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Precision Medicine and its Role in the Treatment of Sepsis: A Personalised View.Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) · 2019
    Review
  6. Article
  7. Article
  8. Observational
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

11 authors.

Miklos D KertaiDivision of Cardiothoracic Anesthesiology, Duke University, Durham, North Carolina, USA.
Yi-Ju LiDepartment of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, USA Duke Molecular Physiology Institute; Duke University, Durham, North Carolina, USA.
Yen-Wei LiDepartment of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, USA.
Yunqi JiDepartment of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, USA.
John AlexanderDivision of Cardiology, Duke University, Durham, North Carolina, USA Duke Clinical Research Institute; Duke University, Durham, North Carolina, USA.
Mark F NewmanDivision of Cardiothoracic Anesthesiology, Duke University, Durham, North Carolina, USA Duke Clinical Research Institute; Duke University, Durham, North Carolina, USA.
Peter K SmithCardiac Surgery; Duke University, Durham, North Carolina, USA.
Diane JosephDuke Clinical Research Institute; Duke University, Durham, North Carolina, USA.
Joseph P MathewDivision of Cardiothoracic Anesthesiology, Duke University, Durham, North Carolina, USA.
Mihai V PodgoreanuDivision of Cardiothoracic Anesthesiology, Duke University, Durham, North Carolina, USA Duke Clinical Research Institute; Duke University, Durham, North Carolina, USA.ORCID http://orcid.org/0000-0001-5539-4674
Duke Perioperative Genetics and Safety Outcomes (PEGASUS) Investigative Team

Funding

Genetics Myocardial Adverse Outcomes/Graft Failure-CABGR01HL075273 · NHLBI · DUKE UNIVERSITY · PI PODGOREANU, MIHAI V. · 2004 to 2008
$3.2M
Cross-species analysis of myocardial susceptibility to perioperative stressR01HL092071 · NHLBI · DUKE UNIVERSITY · PI PODGOREANU, MIHAI V. · 2007 to 2010
$1.9M
NHLBI NIH HHS R01 HL075273NHLBI NIH HHS R01-HL075273NHLBI NIH HHS R01 HL092071NHLBI NIH HHS R01-HL092071
6 · The paper itself

Abstract

objectivesIdentification of patient subpopulations susceptible to develop myocardial infarction (MI) or, conversely, those displaying either intrinsic cardioprotective phenotypes or highly responsive to protective interventions remain high-priority knowledge gaps. We sought to identify novel common genetic variants associated with perioperative MI in patients undergoing coronary artery bypass grafting using genome-wide association methodology.

setting107 secondary and tertiary cardiac surgery centres across the USA.

participantsWe conducted a stage I genome-wide association study (GWAS) in 1433 ethnically diverse patients of both genders (112 cases/1321 controls) from the Genetics of Myocardial Adverse Outcomes and Graft Failure (GeneMAGIC) study, and a stage II analysis in an expanded population of 2055 patients (225 cases/1830 controls) combined from the GeneMAGIC and Duke Perioperative Genetics and Safety Outcomes (PEGASUS) studies. Patients undergoing primary non-emergent coronary bypass grafting were included. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome variable was perioperative MI, defined as creatine kinase MB isoenzyme (CK-MB) values ≥10× upper limit of normal during the first postoperative day, and not attributable to preoperative MI. Secondary outcomes included postoperative CK-MB as a quantitative trait, or a dichotomised phenotype based on extreme quartiles of the CK-MB distribution.

resultsFollowing quality control and adjustment for clinical covariates, we identified 521 single nucleotide polymorphisms in the stage I GWAS analysis. Among these, 8 common variants in 3 genes or intergenic regions met p<10(-5) in stage II. A secondary analysis using CK-MB as a quantitative trait (minimum p=1.26×10(-3) for rs609418), or a dichotomised phenotype based on extreme CK-MB values (minimum p=7.72×10(-6) for rs4834703) supported these findings. Pathway analysis revealed that genes harbouring top-scoring variants cluster in pathways of biological relevance to extracellular matrix remodelling, endoplasmic reticulum-to-Golgi transport and inflammation.

conclusionsUsing a two-stage GWAS and pathway analysis, we identified and prioritised several potential susceptibility loci for perioperative MI.

Indexed as

Genome-Wide Association StudyAdultAgedBiomarkersCoronary Artery BypassCreatine KinaseFemaleHumansIntraoperative ComplicationsMaleMiddle AgedMonitoring, PhysiologicMyocardial InfarctionMyocardiumPrognosisBiomarkersCreatine KinaseGENETICSSURGERY

Identifiers

PMID25948407
PMCPMC4431169

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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.