Evidence map›Paper›PMID 33096472›Full record

ArticleEBioMedicine2020

Differential DNA methylation in familial hypercholesterolemia.

Laurens F Reeskamp, Andrea Venema, Joao P Belo Pereira, Evgeni Levin, Max Nieuwdorp, Albert K Groen, Joep C Defesche, Aldo Grefhorst, Peter Henneman, G Kees Hovingh

Open access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Methylation status ofEpigenomics · 2024
    Article
  7. Article
  8. Article
  9. Applications of machine learning in familial hypercholesterolemia.Frontiers in cardiovascular medicine · 2023
    Review
  10. Article
  11. Article
  12. Review
  13. Review
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

10 authors at 1 institution in 1 country.

Laurens F ReeskampDepartment of Vascular Medicine, Amsterdam UMC, Location AMC, Meibergdreef 9, Amsterdam 1105AZ, The Netherlands.
Andrea VenemaDepartment of Clinical Genetics, Amsterdam UMC, Location AMC, Amsterdam, The Netherlands.
Joao P Belo PereiraDepartment of Experimental Vascular Medicine, Amsterdam UMC, Location AMC, Amsterdam, The Netherlands; HORAIZON BV, Delft, The Netherlands.
Evgeni LevinDepartment of Experimental Vascular Medicine, Amsterdam UMC, Location AMC, Amsterdam, The Netherlands; HORAIZON BV, Delft, The Netherlands.
Max NieuwdorpDepartment of Vascular Medicine, Amsterdam UMC, Location AMC, Meibergdreef 9, Amsterdam 1105AZ, The Netherlands; Department of Experimental Vascular Medicine, Amsterdam UMC, Location AMC, Amsterdam, The Netherlands.
Albert K GroenDepartment of Experimental Vascular Medicine, Amsterdam UMC, Location AMC, Amsterdam, The Netherlands.
Joep C DefescheDepartment of Clinical Genetics, Amsterdam UMC, Location AMC, Amsterdam, The Netherlands.
Aldo GrefhorstDepartment of Experimental Vascular Medicine, Amsterdam UMC, Location AMC, Amsterdam, The Netherlands.
Peter HennemanDepartment of Clinical Genetics, Amsterdam UMC, Location AMC, Amsterdam, The Netherlands.
G Kees HovinghDepartment of Vascular Medicine, Amsterdam UMC, Location AMC, Meibergdreef 9, Amsterdam 1105AZ, The Netherlands. Electronic address: g.k.hovingh@amsterdamumc.nl.
Amsterdam University Medical Centers · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFamilial hypercholesterolemia (FH) is a monogenic disorder characterized by elevated low-density lipoprotein cholesterol (LDL-C). A FH causing genetic variant in LDLR, APOB, or PCSK9 is not identified in 12-60% of clinical FH patients (FH mutation-negative patients). We aimed to assess whether altered DNA methylation might be associated with FH in this latter group.

methodsIn this study we included 78 FH mutation-negative patients and 58 FH mutation-positive patients with a pathogenic LDLR variant. All patients were male, not using lipid lowering therapies and had LDL-C levels >6 mmol/L and triglyceride levels <3.5 mmol/L. DNA methylation was measured with the Infinium Methylation EPIC 850 K beadchip assay. Multiple linear regression analyses were used to explore DNA methylation differences between the two groups in genes related to lipid metabolism. A gradient boosting machine learning model was applied to investigate accumulated genome-wide differences between the two groups.

findingsCandidate gene analysis revealed one significantly hypomethylated CpG site in CPT1A (cg00574958) in FH mutation-negative patients, while no differences in methylation in other lipid genes were observed. The machine learning model did distinguish the two groups with a mean Area Under the Curve (AUC)±SD of 0.80±0.17 and provided two CpG sites (cg26426080 and cg11478607) in genes with a possible link to lipid metabolism (PRDM16 and GSTT1).

interpretationFH mutation-negative patients are characterized by accumulated genome wide DNA methylation differences, but not by major DNA methylation alterations in known lipid genes compared to FH mutation-positive patients.

fundingZonMW grant (VIDI no. 016.156.445).

Indexed as

DNA MethylationGenetic Predisposition to DiseaseAdolescentAdultBiomarkersComputational BiologyCpG IslandsEpigenesis, GeneticEpigenomicsGene Expression RegulationHumansHyperlipoproteinemia Type IIMachine LearningMiddle AgedMutationROC CurveBiomarkersDNA methylationEpigeneticsFamilial hypercholesterolemiaLDLR

Identifiers

PMID33096472
PMCPMC7581877
OpenAlexW3094483832

What OpenQuestion holds

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LicenceCC BY
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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.