Evidence map›Paper›PMID 41877244›Full record

ArticleClinical epigenetics2026

The 12 o'clock assay: an optimized dodecaplex droplet digital PCR assay for robust DNA methylation quantification and epigenetic clock-based age-predictions.

Ilef Hchaichi, Imène Garali, Alina-Madalina Popa, Antoine Daunay, Nicolas P Tessier, Mourad Sahbatou, Lise M Hardy, Aurore Rampanou, Hélène Blanché, Jean-François Zagury and 6 more

Abstract read
In one paragraph

Article in Clinical epigenetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

16 authors.

Ilef HchaichiLaboratory for Genomics, Foundation Jean Dausset - CEPH, 75010, Paris, France.
Imène GaraliPSE-SANTE/SERAMED/LRAcc, Autorité de Sûreté Nucléaire et de Radioprotection (ASNR), 92260, Fontenay-Aux-Roses, France.
Alina-Madalina PopaLaboratory for Genomics, Foundation Jean Dausset - CEPH, 75010, Paris, France.
Antoine DaunayLaboratory for Genomics, Foundation Jean Dausset - CEPH, 75010, Paris, France.
Nicolas P TessierLaboratory for Genomics, Foundation Jean Dausset - CEPH, 75010, Paris, France.
Mourad SahbatouLaboratory for Bioinformatics, Foundation Jean Dausset - CEPH, Paris, France.
Lise M HardyLaboratory for Genomics, Foundation Jean Dausset - CEPH, 75010, Paris, France.
Aurore RampanouCirculating Tumor Biomarkers Laboratory, Inserm CIC-BT 1428, Department of Translational Research, Institut Curie, Paris, France.
Hélène BlanchéCEPH-Biobank, Foundation Jean Dausset - CEPH, Paris, France.
Jean-François ZaguryÉquipe Génomique, Bioinformatique et Chimie Moléculaire (EA 7528), Conservatoire National des Arts et Métiers, Paris, France.
Mathilde TouvierINSERM, INRAE, CNAM, Centre for Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), Université Sorbonne Paris Nord and Université Paris Cité, 93017, Bobigny, France.
Hélène Le BuanecINSERM U976 - HIPI Unit, Saint-Louis Research Institute, University of Paris, Paris, France.
Shufang RenaultCirculating Tumor Biomarkers Laboratory, Inserm CIC-BT 1428, Department of Translational Research, Institut Curie, Paris, France.
Nicolas GirerdCentre d'Investigation Clinique Plurithématique 1433 and Inserm U1116, CHRU Nancy, F-CRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), Université de Lorraine, Nancy, France.
Jean-François DeleuzeLaboratory for Genomics, Foundation Jean Dausset - CEPH, 75010, Paris, France.
Alexandre How-KitLaboratory for Genomics, Foundation Jean Dausset - CEPH, 75010, Paris, France. ahowkit@cephb.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA methylation quantification in age-prediction models relies on only a few techniques with inherent limitations and biases, reducing the accuracy and reproducibility. We developed a new droplet digital PCR assay format for accurate DNA methylation quantification, based on three LNA-containing hydrolysis probes to detect methylated and unmethylated alleles. Using a 12-plex assay we simultaneously quantified methylation at six CpGs (ASPA, C1orf132, CCDC102B, EDARADD, ELOVL2, FHL2) in 351 blood samples (age range: 0-95 years), showing strong correlations with age (|r|> 0.83). Several age-prediction models were developed, achieving high performance on testing sets (R

Indexed as

AgingDNA MethylationPolymerase Chain ReactionAmidohydrolasesCpG IslandsEpigenesis, GeneticFatty Acid ElongasesHumansInfantLIM-Homeodomain ProteinsMuscle ProteinsReproducibility of ResultsTranscription FactorsAmidohydrolasesaspartoacylaseELOVL2 protein, humanFatty Acid ElongasesFHL2 protein, humanLIM-Homeodomain ProteinsMuscle ProteinsTranscription FactorsAge-prediction modelBiological ageddPCRDNA methylationEpigenetic clockMachine-learning

Identifiers

PMID41877244
PMCPMC13134083

What Socratic holds

Textmetadata
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 Socratic graph.