Evidence map›Paper›PMID 30571185›Full record

ArticleCirculation. Genomic and precision medicine2018

Genomic Risk Stratification Predicts All-Cause Mortality After Cardiac Catheterization.

Michael G Levin, Rachel L Kember, Renae Judy, David Birtwell, Heather Williams, Zolt Arany, Jay Giri, Marie Guerraty, Tom Cappola, Regeneron Genetics Center and 3 more

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

Article in Circulation. Genomic and precision medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
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  12. Clinical utility of polygenic risk scores for coronary artery disease.Nature reviews. Cardiology · 2022 · on this map
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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

13 authors at 2 institutions in 1 country.

Michael G LevinDepartment of Medicine (M.G.L., D.B., H.W., Z.A, J.G., M.G., T.C., ), Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Rachel L KemberDepartment of Genetics (R.L.K., D.J.R.), Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Renae JudyDepartment of Surgery (R.J., S.M.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia.
David BirtwellDepartment of Medicine (M.G.L., D.B., H.W., Z.A, J.G., M.G., T.C., ), Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Heather WilliamsDepartment of Medicine (M.G.L., D.B., H.W., Z.A, J.G., M.G., T.C., ), Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Zolt AranyDepartment of Medicine (M.G.L., D.B., H.W., Z.A, J.G., M.G., T.C., ), Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Jay GiriDepartment of Medicine (M.G.L., D.B., H.W., Z.A, J.G., M.G., T.C., ), Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Marie GuerratyDepartment of Medicine (M.G.L., D.B., H.W., Z.A, J.G., M.G., T.C., ), Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Tom CappolaDepartment of Medicine (M.G.L., D.B., H.W., Z.A, J.G., M.G., T.C., ), Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Regeneron Genetics Center
Jinbo ChenDepartment of Biostatistics, Epidemiology, and Informatics (J.C.), Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Daniel J RaderDepartment of Genetics (R.L.K., D.J.R.), Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Scott M DamrauerDepartment of Surgery (R.J., S.M.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia.
University of Pennsylvania · USPhiladelphia VA Medical Center · US

Funding

sFlt and Metabolic Mechanisms of Peripartium CardiomyopathyR01HL126797 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI ARANY, ZOLTAN P · 2016 to 2019
$1.6M
Statistical Methods for Analyzing Electronic Health Record DataR01HL138306 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI CHEN, JINBO · 2018 to 2020
$1.2M
Precision Cardio-Metabolic Phenotyping for Genetic Discovery and Risk PredictionIK2CX001780 · VA · PHILADELPHIA VA MEDICAL CENTER · PI DAMRAUER, SCOTT MICHAEL · 2018 to 2023
–
CSRD VA IK2 CX001780NHLBI NIH HHS R01 HL126797NHLBI NIH HHS R01 HL138306
6 · The paper itself

Abstract

backgroundCoronary artery disease (CAD) is influenced by genetic variation and traditional risk factors. Polygenic risk scores (PRS), which can be ascertained before the development of traditional risk factors, have been shown to identify individuals at elevated risk of CAD. Here, we demonstrate that a genome-wide PRS for CAD predicts all-cause mortality after accounting for not only traditional cardiovascular risk factors but also angiographic CAD itself.

methodsIndividuals who underwent coronary angiography and were enrolled in an institutional biobank were included; those with prior myocardial infarction or heart transplant were excluded. Using a pruning-and-thresholding approach, a genome-wide PRS comprised of 139 239 variants was calculated for 1503 participants who underwent coronary angiography and genotyping. Individuals were categorized into high PRS (hiPRS) and low-PRS control groups using the maximally selected rank statistic. Stratified analysis based on angiographic findings was also performed. The primary outcome was all-cause mortality following the index coronary angiogram.

resultsIndividuals with hiPRS were younger than controls (66 years versus 69 years; P=2.1×10

conclusionsA genome-wide PRS improves risk stratification when added to traditional risk factors and coronary angiography. Individuals without angiographic CAD but with hiPRS remain at significantly elevated risk of mortality.

Indexed as

Cardiac CatheterizationCoronary AngiographyCoronary Artery DiseaseMyocardial InfarctionAgedAged, 80 and overCohort StudiesDisease-Free SurvivalFemaleHumansMaleMiddle AgedRisk AssessmentRisk FactorsSurvival Ratecardiac catheterizationcoronary angiographycoronary artery diseasehuman geneticsmyocardial infarctionrisk

Identifiers

PMID30571185
PMCPMC6310018
OpenAlexW2901458073

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.