Evidence map›Paper›PMID 30566436›Full record

Observational studyPloS one2018

Hypertension genetic risk score is associated with burden of coronary heart disease among patients referred for coronary angiography.

Maria Lukács Krogager, Regitze Kuhr Skals, Emil Vincent R Appel, Theresia M Schnurr, Line Engelbrechtsen, Christian Theil Have, Oluf Pedersen, Thomas Engstrøm, Dan M Roden, Gunnar Gislason and 8 more

Erratum issuedOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. A hybrid cost-sensitive ensemble for heart disease prediction.BMC medical informatics and decision making · 2021
    Article
  6. Article
  7. Article
  8. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 6 institutions in 2 countries.

Maria Lukács KrogagerUnit of Epidemiology and Biostatistics, Aalborg University Hospital, Aalborg, Denmark.ORCID 0000-0001-9285-6903
Regitze Kuhr SkalsUnit of Epidemiology and Biostatistics, Aalborg University Hospital, Aalborg, Denmark.
Emil Vincent R AppelNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Theresia M SchnurrNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-6573-4959
Line EngelbrechtsenNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Christian Theil HaveNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Oluf PedersenNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Thomas EngstrømDepartment of Cardiology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.
Dan M RodenDepartments of Medicine, Pharmacology, and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.
Gunnar GislasonDepartment of Cardiology, Copenhagen University Hospital, Herlev and Gentofte, Hellerup, Denmark.
Henrik Enghusen PoulsenFaculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0003-4242-9924
Lars KøberDepartment of Cardiology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.
Steen StenderDepartment of Nutrition, Exercize and Sports, Copenhagen University, Frederiksberg, Denmark.
Torben HansenNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Niels GrarupNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Charlotte AnderssonDepartment of Cardiology, Herlev and Gentofte Hospital, Hellerup, Denmark.
Christian Torp-PedersenUnit of Epidemiology and Biostatistics, Aalborg University Hospital, Aalborg, Denmark.
Peter E WeekeDepartment of Cardiology, Bispebjerg and Frederiksberg Hospital, Denmark.
University of Copenhagen · DKAalborg University Hospital · DKCopenhagen University Hospital · DKFrederiksberg Hospital · DKGentofte Hospital · DKVanderbilt University Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent GWAS studies have identified more than 300 SNPs associated with variation in blood pressure. We investigated whether a genetic risk score constructed from these variants is associated with burden of coronary heart disease.

methodsFrom 2010-2014, 4,809 individuals admitted to coronary angiography in Capital Region of Copenhagen were genotyped. We calculated hypertension GRS comprised of GWAS identified SNPs associated with blood pressure. We performed logistic regression analyses to estimate the risk of hypertension and prevalent CHD. We also assessed the severity of CHD associated with the GRS. The analyses were performed using GRS quartiles. We used the Inter99 cohort to validate our results and to investigate for possible pleiotropy for the GRS with other CHD risk factors.

resultsIn COGEN, adjusted odds ratios comparing the 2nd, 3rd and 4th cumulative GRS quartiles with the reference were 1.12(95% CI 0.95-1.33), 1.35(95% CI 1.14-1.59) and 1.29(95% CI 1.09-1.53) respectively, for prevalent CHD. The adjusted multinomial logistic regression showed that 3rd and 4th GRS quartiles were associated with increased odds of developing two(OR 1.33, 95% CI 1.04-1.71 and OR 1.36, 95% CI 1.06-1.75, respectively) and three coronary vessel disease(OR 1.77, 95% CI 1.36-2.30 and OR 1.65, 95% CI 1.26-2.15, respectively). Similar results for incident CHD were observed in the Inter99 cohort. The hypertension GRS did not associate with type 2 diabetes, smoking, BMI or hyperlipidemia.

conclusionHypertension GRS quartiles were associated with an increased risk of hypertension, prevalent CHD, and burden of coronary vessel disease in a dose-response pattern. We showed no evidence for pleiotropy with other risk factors for CHD.

Indexed as

Coronary AngiographyGenetic Predisposition to DiseasePolymorphism, Single NucleotideAgedCohort StudiesFemaleHumansHypertensionMaleMiddle AgedModels, GeneticRisk Assessment

Identifiers

PMID30566436
PMCPMC6300273
OpenAlexW2904757761

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.