Evidence map›Paper›PMID 30910668›Full record

ArticleJournal of clinical lipidology

A 3-SNP gene risk score and a metabolic risk score both predict hypertriglyceridemia and cardiovascular disease risk.

Rutger Verbeek, Federico Oldoni, R Preethi Surendran, Ailko H Zwinderman, Kay T Khaw, Erik S G Stroes, Nick J Wareham, S Matthijs Boekholdt, Geesje M Dallinga-Thie

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In one paragraph

Article in Journal of clinical lipidology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 98% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

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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

9 authors at 5 institutions in 2 countries.

Rutger VerbeekDepartments of Vascular Medicine and Experimental Vascular Medicine, Amsterdam University Medical Center, Location Academic Medical Center, Amsterdam, the Netherlands.
Federico OldoniDepartment of Pediatrics, Section of Molecular Genetics, University Medical Center Groningen, Groningen, the Netherlands.
R Preethi SurendranDepartments of Vascular Medicine and Experimental Vascular Medicine, Amsterdam University Medical Center, Location Academic Medical Center, Amsterdam, the Netherlands.
Ailko H ZwindermanDepartment of Biostatistics, Amsterdam University Medical Center, Location Academic Medical Center, Amsterdam, the Netherlands.
Kay T KhawDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.
Erik S G StroesDepartments of Vascular Medicine and Experimental Vascular Medicine, Amsterdam University Medical Center, Location Academic Medical Center, Amsterdam, the Netherlands.
Nick J WarehamMedical Research Council Epidemiology Unit, Cambridge, United Kingdom.
S Matthijs BoekholdtDepartment of Cardiology, Amsterdam University Medical Center, Location Academic Medical Center, Amsterdam, the Netherlands.
Geesje M Dallinga-ThieDepartments of Vascular Medicine and Experimental Vascular Medicine, Amsterdam University Medical Center, Location Academic Medical Center, Amsterdam, the Netherlands. Electronic address: g.m.dallinga@amc.nl.
Academic Medical Center · NLAmsterdam University Medical Centers · NLMedical Research Council · GBUniversity Medical Center Groningen · NLUniversity of Cambridge · GB

Funding

Cancer Research UK 14136Medical Research Council G0401527Medical Research Council G1000143Medical Research Council MR/N003284/1
6 · The paper itself

Abstract

backgroundEvidence on the causal link between plasma triglyceride (TG) levels and risk for cardiovascular disease (CVD) has recently emerged. Individuals with the metabolic syndrome have an increased risk for acquiring elevated TG levels later in life. Moreover, common DNA sequence variations in genes affecting TG levels identify individuals at risk for elevated plasma TG levels.

objectiveWe evaluated whether a 3-single nucleotide polymorphism (SNP) TG gene risk score (GRS) and a metabolic risk score (MetRS) both improved CVD risk prediction.

methodsA 3-SNP GRS and MetRS were generated in the EPIC-Norfolk cohort (n = 20,074) based on 3 SNPs in LPL and APOA5 or the number of Metabolic Syndrome criteria present (maximum 5), respectively. The associations between the 3-SNP GRS, MetRS, TG levels, and CVD risk were evaluated.

resultsThe 3-SNP GRS and MetRS were both linearly associated with plasma TG levels, that is, +0.25 mmol/L [95% CI 0.22-0.27] per allele change (P < .001) and +0.72 mmol/L [95% CI 0.70-0.73] per increase of number of metabolic syndrome risk score points (P < .001), respectively. We observed a positive association between the 3-SNP GRS and the risk of CVD with an adjusted hazard ratio (HR) of 1.35 [95% CI 1.04-1.74] for the highest versus the lowest GRS, which was independent of the MetRS. For the MetRS, the adjusted HR was 2.03 [95% CI 1.73-2.40] for the highest versus the lowest MetRS.

conclusionBoth the 3-SNP GRS and the MetRS are associated with increased plasma TG levels and increased risk for CVD.

Indexed as

Polymorphism, Single NucleotideAdultAgedCardiovascular DiseasesCohort StudiesFemaleGenetic Predisposition to DiseaseHumansHypertriglyceridemiaMaleMiddle AgedRisk AssessmentTriglyceridesTriglyceridesAPOA5Cardiovascular diseaseLPLMetabolic syndromeTriglycerides

Identifiers

PMID30910668
PMCPMC7340536
OpenAlexW2916919955

What OpenQuestion holds

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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.