123 paired samples of 16S rRNA gene sequencing and DNA methylation data collected from a cohort enriched for Native Hawaiian and Pacific Islander participants. Braden Kunihiro published this proof-of-concept dataset on figshare in May 2026. It contains results from 'EpiBiome' models predicting epigenetic age acceleration residuals and the DunedinPACE biomarker.
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.
- Analyzing age-independent microbial signatures correlated with epigenetic clocks.
- Performing feature importance analysis (e.g., SHAP) on microbiome data for aging research.
Strengths
- Dataset includes 123 paired samples, providing matched microbiome and epigenetic data.
- Models achieved statistically significant results for DunedinPACE prediction (R² = 0.152 at species level).
- Analysis demonstrated age-independence of the microbial signature (ΔR² = −0.046 when adding chronological age).
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 (626.7 KB), indicating limited scope.
Provenance
- Source
- figshare
- Collection Method
- Paired 16S rRNA gene sequencing and DNA methylation data from monocyte-enriched samples.
- Freshness
- Last updated 2026-05-06 00:10:08; freshness should be verified.
- Geography
- Cohort enriched for Native Hawaiian and Pacific Islander participants.