Evidence map›Paper›PMID 40624537›Full record

ArticleClinical epigenetics2025

ImprintCap, a powerful NGS-based technology to investigate the molecular background of imprinting disorders.

Frédéric Brioude, Martin A Haagmans, Marcel Mannens, Irene Netchine, Marielle Alders, Peter Henneman, Jet Bliek

Abstract read
In one paragraph

Article in Clinical epigenetics, 2025. 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
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

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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.

  1. Article
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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

7 authors.

Frédéric Brioude *Inserm, Centre de Recherche Saint-Antoine, Sorbonne Université, AP-HP, Hôpital Trousseau, 75012, Paris, France. frederic.brioude@aphp.fr.
Martin A Haagmans *Department of Human Genetics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Marcel MannensDepartment of Human Genetics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Irene NetchineInserm, Centre de Recherche Saint-Antoine, Sorbonne Université, AP-HP, Hôpital Trousseau, 75012, Paris, France.
Marielle AldersDepartment of Human Genetics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Peter Henneman *Department of Human Genetics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Jet Bliek *Department of Human Genetics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.

Funding

Agence Nationale pour la Recherche (ANR) ANR-22-CE14-002EPA EP-D-14-002
6 · The paper itself

Abstract

introductionImprinting disorders (IDs) are a rare class of diseases caused by the disruption of imprinted genes, i.e., genes with a specific pattern of expression from only one allele. Currently, 48 loci are known to show parent-of-origin dependent, imprinted, expression in humans, some of which are disease-associated (da) whereas most of them are non-disease-associated (nda) loci. A subset of patients with an imprinting disorder exhibits aberrant imprinting in at least one differentially methylated region (DMR) in addition to the da loci. Correlation between multilocus imprinting disturbance (MLID), phenotype, variants in maternal effect proteins and fertility problems are currently under investigation. There is a need for a reliable, cost-effective method to detect low mosaic levels of methylation changes in all DMRs. To this end, a targeted NGS panel named ImprintCap was developed using the TWIST method for 48 DMRs. To validate the technique, 13 patients with known methylation changes were analyzed, and these were compared to 30 control samples.

resultsMethylation ranges of mean + / - 3SD were determined in 41/48 DMRs in the capture, including all da DMRs. The mean relative coverage was used to detect CNVs in each DMR. The diagnostic findings were confirmed using ImprintCap in all patients' samples, including methylation changes and deletions. From four samples with genome-wide uniparental disomy (UPD), we determined a detection level of at least 30% mosaic aberrant cells. Three patients were known to show MLID in one or more da DMRs. These changes were confirmed, and in addition, methylation changes were found in 17-32 da or nda DMRs.

conclusionBy employing ImprintCap, methylation changes can be detected in 41 DMRs, with an overall detection level of 30% mosaic. The DMRs are located on 20 different chromosomes, enabling the detection of UPD in these regions, in addition to CNV in DMRs. The combination of these characteristics renders the methods highly suitable as a diagnostic test for all IDs, detecting UPD, methylation changes and CNVs. The panel is also a reliable tool for the detection of MLID involving both da and nda DMRs.

Indexed as

DNA MethylationGenomic ImprintingHigh-Throughput Nucleotide SequencingSequence Analysis, DNAFemaleHumansImprinting DisordersMaleUniparental DisomyImprinting disordersMethylationMultilocus imprinting disturbanceUniparental disomy

Identifiers

PMID40624537
PMCPMC12232785

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