EpiBiome: Gut Microbiome and DNA Methylation Aging Data

123 paired samples of gut microbiome 16S rRNA sequencing and DNA methylation data from monocyte-enriched samples. The dataset was created by Braden Kunihiro and last updated in May 2026. It contains results from proof-of-concept models linking microbial composition to epigenetic aging biomarkers like DunedinPACE.

Use Cases

• Training predictive models for biological aging pace based on gut microbial features.
• Investigating associations between specific taxa like Bifidobacterium adolescentis and decelerated aging.
• Validating microbiome-based signatures against traditional epigenetic clocks like Horvath and GrimAge2.
• Performing SHAP analysis to identify key microbial contributors to age acceleration.

Strengths

• Includes paired data from two modalities: 16S rRNA sequencing and DNA methylation.
• Models achieved statistically significant results for DunedinPACE (R² = 0.152 at species level).
• Dataset is focused on a cohort enriched for Native Hawaiian and Pacific Islander participants.
• Analysis demonstrated age-independent predictive signal.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is relatively small at 626.7 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Data likely collected from a cohort study involving 16S rRNA gene sequencing and DNA methylation analysis.

Freshness

Last updated 2026-05-06 00:10:08; freshness should be verified.

Geography

Cohort enriched for Native Hawaiian and Pacific Islander participants.