Performance of the Illumina Infinium MethylationEPIC v2.0 array with low DNA input from Swedish neonatal dried blood spots

The Swedish Phenylketonuria screening biobank contains neonatal dried blood spots from over five million individuals born in Sweden since 1975. While its value has been proven in several research areas, the feasibility of DNA methylation profiling from decades-old samples with ultra-low DNA inputs using the Illumina Infinium MethylationEPIC v2.0 remains uncertain. We selected samples from seven random individuals born between 1985 and 2003. We used the EPIC v2.0 for DNA methylation analysis. To asses its performance, we conducted a quality control; examining probe call rate, signal intensity, beta value density, sample-to-sample correlation, and nine control probes built into the array. Despite using DNA input quantities as low as 19.2 ng (less than 10% of manufacturer recommendations), all samples achieved high probe call rates (mean 99.75% at p < 0.01) with robust coverage (930,588–936,110 probes), balanced methylated/unmethylated signal intensities, characteristic bimodal beta distributions, high inter-sample correlations (r = 0.972-1.000), and appropriate control probe performance. No outliers or batch effects were detected despite 18–40 years storage. The EPIC v2.0 array generates high quality methylation data from archival neonatal dried blood spots with extremely low volumes of DNA input, validating the technical feasibility of large-scale epigenetic studies using the Swedish PKU biobank.

Authors

Institutions

Publication Details

Journal
Epigenetics Communications
Published
2025-12-22
DOI
https://doi.org/10.1186/s43682-025-00042-2
Citations
1
Primary Topic
Epigenetics and DNA Methylation
Type
article
Field-Weighted Citation Impact
0.81
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Performance of the Illumina Infinium MethylationEPIC v2.0 array with low DNA input from Swedish neonatal dried blood spots

Gustaf Brander, Håkan Karlsson, Jonas Bybjerg‐Grauholm, James Crowley et al.
1 citations
Epigenetics Communications
Epigenetics and DNA Methylation
0.81
article

Performance of the Illumina Infinium MethylationEPIC v2.0 array with low DNA input from Swedish neonatal dried blood spots

Gustaf Brander, Håkan Karlsson, Jonas Bybjerg‐Grauholm, James Crowley, David Mataix-Cols, Christina Dalman
article en
1 citations

Abstract

The Swedish Phenylketonuria screening biobank contains neonatal dried blood spots from over five million individuals born in Sweden since 1975. While its value has been proven in several research areas, the feasibility of DNA methylation profiling from decades-old samples with ultra-low DNA inputs using the Illumina Infinium MethylationEPIC v2.0 remains uncertain. We selected samples from seven random individuals born between 1985 and 2003. We used the EPIC v2.0 for DNA methylation analysis. To asses its performance, we conducted a quality control; examining probe call rate, signal intensity, beta value density, sample-to-sample correlation, and nine control probes built into the array. Despite using DNA input quantities as low as 19.2 ng (less than 10% of manufacturer recommendations), all samples achieved high probe call rates (mean 99.75% at p < 0.01) with robust coverage (930,588–936,110 probes), balanced methylated/unmethylated signal intensities, characteristic bimodal beta distributions, high inter-sample correlations (r = 0.972-1.000), and appropriate control probe performance. No outliers or batch effects were detected despite 18–40 years storage. The EPIC v2.0 array generates high quality methylation data from archival neonatal dried blood spots with extremely low volumes of DNA input, validating the technical feasibility of large-scale epigenetic studies using the Swedish PKU biobank.

Epigenetics CommunicationsVol. 5(1)
Statens Serum Institut (DK), Broad Institute (US), University of North Carolina at Chapel Hill (US), Lund University (SE), Karolinska Institutet (SE), Stockholm Health Care Services (SE), Centre for Palaeogenetics (SE), Massachusetts Institute of Technology (US)
Openalex Percentile: Top 20%
Epigenetics and DNA Methylation
0.81
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.