Evidence map›Paper›PMID 40841873›Full record

ArticleBiological procedures online2025

Evaluation of the HumanMethylationEPIC v2.0 Bead Chip Using Low Quality and Quantity DNA Samples.

Brando Poggiali, Mikkel Eriksen Dupont, Marie-Louise Kampmann, Athina Vidaki, Vania Pereira, Claus Børsting, Jacob Tfelt-Hansen, Jeppe Dyrberg Andersen

Abstract read
In one paragraph

Article in Biological procedures online, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Promoter hypomethylation ofFrontiers in genetics · 2026
    Article
  2. 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

8 authors.

Brando PoggialiSection of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark. brando.poggiali@sund.ku.dk.
Mikkel Eriksen DupontSection of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Marie-Louise KampmannSection of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Athina VidakiDepartment of Clinical Genetics, Maastricht University Medical Center, Maastricht, The Netherlands.
Vania PereiraSection of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Claus BørstingSection of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Jacob Tfelt-HansenSection of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Jeppe Dyrberg AndersenSection of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark. jeppe.dyrberg.andersen@sund.ku.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe HumanMethylationEPIC v2.0 BeadChip (EPIC v2.0) microarray is a widely used tool for genome-wide DNA methylation (DNAm) analysis, designed for high-quality human DNA with a recommended input of 250 ng. However, in clinical and forensic settings, DNA samples may be of low quality and/or quantity (highly fragmented and/or available in low amounts). This study assessed the performance of the EPIC v2.0 on DNA samples with various combinations of average DNA fragment size (350, 230, 165, and 95 bp) and DNA input amount (100, 50, 20, and 10 ng), compared to a paired control sample analyzed under optimal conditions (high-quality DNA and 250 ng DNA input).

resultsThe best performance was obtained for samples with average DNA fragment size of 350 bp and 100 ng DNA input (~ 90% probe detection rate, r = 0.995, and median absolute beta value differences|Δβ| = 0.012 when compared with the control sample). Samples with lower average DNA fragment sizes and DNA input amount performed worse, with the lowest probe detection rate (~ 43%), r = 0.946, and the highest|Δβ| (0.038). Samples with average DNA fragment sizes of 95 bp and those with 165 bp at 10 ng DNA input failed to pass sample quality control (QC). CpG sites with intermediate DNAm values (β = 0.1-0.9) showed higher|Δβ| than the extreme DNAm values (β = 0-0.1, and β = 0.9-1). Finally, we assessed an application of DNAm by performing epigenetic age analysis, and observed mean absolute errors (MAEs) below 10 years for 350 bp samples across four epigenetic clocks.

conclusionsBoth DNA fragment size and DNA input amounts affect DNAm analysis on the EPIC v2.0, with the investigated DNA fragment size having a greater impact than the investigated DNA input amount. DNAm measurements were achieved with the EPIC v2.0 microarray down to an average DNA fragment size of 165 bp and a 20 ng DNA input. Highly fragmented DNA (95 bp) did not result in usable DNAm analysis as all samples failed QC. Overall, our study demonstrates the potential and limitations of EPIC v2.0 microarray with low quality and quantity DNA samples.

Indexed as

Clinical epigeneticsDegraded DNADNA methylationEPIC v2.0 microarrayEpigenetic ageForensic geneticsFragmented DNALow-input DNA

Identifiers

PMID40841873
PMCPMC12369268

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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.