Three large telomere datasets from healthy human populations show a downward secular trend in telomere length at birth. The data was re-examined by author Reinhard Stindl and supports a model of progressive intergenerational telomere erosion. The dataset is published under an Open Access (diamond) license.
Use Cases
- Modeling intergenerational telomere erosion trends based on population-level telomere length data.
- Investigating environmental stress impacts on female germ cells using telomere length as a biomarker.
- Testing theories of telomere-driven macroevolution and species extinction using human population data.
- Designing multigenerational studies on mammals to distinguish environmental from evolutionary telomere trends.
Strengths
- Derived from three large telomere datasets, suggesting a substantial sample size.
- Focuses on healthy human populations, providing a baseline for telomere length studies.
- Open Access (diamond) license ensures free and unrestricted use.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- Reanalysis of three large telomere datasets from healthy human populations.
- Collection Method
- Re-examination of existing datasets, likely involving meta-analysis or statistical aggregation.