Accuracy and repeatability of epigenome-based signatures trained on Illumina MethylationEPIC BeadChip data
Illumina DNA methylation microarrays are popular tools for discovering methylation patterns that enable epigenome-based trait prediction. To ensure reliable and accurate predictions, the robustness of the methylation assay is critical. This dataset comprises technical quadruplicate llumina MethylationEPIC (v1.0) data from matched cervical and blood samples, derived from four individuals, to evaluate the precision of methylation values and the repeatability of epigenome-based models trained to predict disease and aging. Fresh, and frozen blood were treated as separate tissue types, so the data stems from 4 * 4 * 3 = 48 microarrays.
- Type: Other
- Archiver: European Genome-Phenome Archive (EGA)
Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data
Dataset ID | Description | Technology | Samples |
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EGAD00010002501 | Illumina MethylationEPIC Array | 48 |
Publications | Citations |
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Technical and biological sources of unreliability of Infinium probes on Illumina methylation microarrays.
Clin Epigenetics 16: 2024 131 |
0 |