Longitudinal DNA Methylation Profiles for Long-COVID Study, 297 Participants

859,651 CpG methylation sites were measured using the Illumina EPIC V2 platform for 594 blood samples from 297 Norwegian adults. Jon Bohlin authored this longitudinal study comparing pre-pandemic (2020) and pandemic-era (2023) samples from Long-COVID, COVID-19, and uninfected groups. No significant persistent epigenetic differences related to infection or Long-COVID were detected in this cohort.

Use Cases

• Analyze genome-wide DNA methylation patterns based on 859,651 CpG sites
• Compare epigenetic profiles longitudinally based on pre- and post-infection sampling
• Evaluate epigenetic age acceleration based on DunedinPACE and PhenoAge measures
• Perform sex-stratified analyses based on X chromosome methylation data

Strengths

• Longitudinal design with 594 samples collected at two distinct time points (2020 and 2023)
• High-resolution methylation data from the Illumina EPIC V2 platform covering 859,651 CpGs
• Clear participant classification into three groups: Long-COVID, COVID-19 (no persistent symptoms), and not infected

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• The 222.1 KB size suggests the dataset likely contains summary or processed results, not raw methylation data

Provenance

Source

figshare

Collection Method

DNA methylation measured from whole blood samples from two Norwegian population-based cohorts.

Time Range

2020 (pre-pandemic) and 2023 (during pandemic)

Freshness

Last updated 2026-04-10 09:00:03

Geography

Norway