Evidence map›Paper›PMID 32580754›Full record

ArticleGenome medicine2020

cfNOMe - A single assay for comprehensive epigenetic analyses of cell-free DNA.

Florian Erger, Deborah Nörling, Domenica Borchert, Esther Leenen, Sandra Habbig, Michael S Wiesener, Malte P Bartram, Andrea Wenzel, Christian Becker, Mohammad R Toliat and 3 more

Abstract read
In one paragraph

Article in Genome medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

  1. Article
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  7. Observational
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  11. Circulating Cell-Free DNA in Metabolic Diseases.Journal of the Endocrine Society · 2025
    Review
  12. Genomic and Epigenomic Analysis of Plasma Cell-Free DNA Identifies Stemness Features Associated with Worse Survival in Lethal Prostate Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  13. Article
  14. Review
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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.

Florian ErgerCologne Center for Genomics, University of Cologne, Cologne, Germany. florian.erger@uk-koeln.de.ORCID 0000-0002-2768-1702
Deborah NörlingCologne Center for Genomics, University of Cologne, Cologne, Germany.
Domenica BorchertCologne Center for Genomics, University of Cologne, Cologne, Germany.
Esther LeenenDepartment of Nephrology, Transplantation and Medical Intensive Care, University Witten/Herdecke, Medical Center Cologne-Merheim, Cologne, Germany.
Sandra HabbigDepartment of Pediatrics, Faculty of Medicine and University Hospital Cologne, Cologne, Germany.
Michael S WiesenerDepartment of Nephrology and Hypertension, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.
Malte P BartramCenter for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany.
Andrea WenzelInstitute of Human Genetics, Faculty of Medicine and University Hospital Cologne, Cologne, Germany.
Christian BeckerCologne Center for Genomics, University of Cologne, Cologne, Germany.
Mohammad R ToliatCologne Center for Genomics, University of Cologne, Cologne, Germany.
Peter NürnbergCologne Center for Genomics, University of Cologne, Cologne, Germany.
Bodo B BeckInstitute of Human Genetics, Faculty of Medicine and University Hospital Cologne, Cologne, Germany.
Janine AltmüllerCologne Center for Genomics, University of Cologne, Cologne, Germany. janine.altmueller@uni-koeln.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell-free DNA (cfDNA) analysis has become essential in cancer diagnostics and prenatal testing. We present cfNOMe, a two-in-one method of measuring cfDNA cytosine methylation and nucleosome occupancy in a single assay using non-disruptive enzymatic cytosine conversion and a custom bioinformatic pipeline. We show that enzymatic cytosine conversion better preserves cfDNA fragmentation information than does bisulfite conversion. Whereas previously separate experiments were required to study either epigenetic marking, cfNOMe delivers reliable results for both, enabling more comprehensive and inexpensive epigenetic cfDNA profiling. cfNOMe has the potential to advance biomarker discovery and diagnostic usage in diseases with systemic perturbations of cfDNA composition.

Indexed as

Biological AssayCell-Free Nucleic AcidsEpigenesis, GeneticDNA MethylationEpigenomicsHumansKidney DiseasesPolymorphism, Single NucleotideCell-Free Nucleic AcidsAnalysis softwareCell-free DNAcfNOMeMethylomeNucleosome footprints

Identifiers

PMID32580754
PMCPMC7315486

What OpenQuestion holds

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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.