longevity-db/Human_Ageing_Genomic_Resources

🧬 Human Ageing Genomic Resources (HAGR)

This dataset collection is derived from the Human Ageing Genomic Resources (HAGR), a curated set of databases focusing on the genetics of human aging, longevity, and cellular senescence. It includes several valuable resources formatted as .parquet files for easy use in data science and machine learning pipelines.

📦 Files Included

• —drugage.parquet: Database of drugs that affect lifespan in model organisms.
• —genage_human.parquet: Genes associated with aging in humans.
• —genage_models.parquet: Aging-related genes in model organisms.
• —longevity.parquet: Genetic variants linked to human longevity.
• —cellage3.parquet: Genes associated with cellular senescence.
• —signatures1.parquet: Transcriptional signatures related to age-associated biological pathways.

🔧 Usage Instructions

import pandas as pd

# Example: Load DrugAge
df = pd.read_parquet("drugage.parquet")
print(df.head())

You can load all other .parquet files in the same way.

🔬 Use Cases

• —Build predictive models of aging or lifespan using genetic or pharmacological features.
• —Identify potential gene-drug-longevity interactions.
• —Benchmark aging clocks against curated biological evidence.
• —Perform feature importance analysis on senescence-related targets.
• —Develop explainable AI models for aging biology.

📚 Citation

Please cite the original HAGR resource:

de Magalhães, J. P., et al. (2009). The Human Ageing Genomic Resources: new tools for ageing research. Nucleic Acids Research, 37(Database issue), D756–D759. DOI: 10.1093/nar/gkn777

Official site: https://genomics.senescence.info

🙏 Acknowledgments

Data curated and maintained by the Human Ageing Genomic Resources project. Formatting and conversion to .parquet for ML use by ### 🧑‍💻 Team: MultiModalMillenials. Iris Lee (@iris8090)

🗂️ License

Please review individual dataset licenses on https://genomics.senescence.info. Most data is freely available for academic and non-commercial use.