Create README.md

README.md

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+# 🧬 Smulders Longevity Extracted Dataset
+
+This dataset was extracted from the publication:
+
+> **Genetics of human longevity: From variants to genes to pathways**  
+> *Journal of Internal Medicine, 2023 — Smulders et al.*  
+> DOI: [10.1111/joim.13690](https://doi.org/10.1111/joim.13690)
+
+It contains structured gene names and SNP identifiers mentioned throughout the paper.
+
+---
+
+## 📄 Dataset Description
+
+| Column | Description                  |
+|--------|------------------------------|
+| type   | Entry type: `Gene` or `SNP`  |
+| id     | The gene name or SNP ID      |
+
+The gene names are uppercase identifiers, and SNPs follow the common `rs` format (e.g., rs429358).
+
+---
+
+## 🔧 Usage Instructions
+
+### Load in Python
+
+```python
+import pandas as pd
+
+df = pd.read_parquet("smulders_longevity_extracted.parquet")
+print(df.head())
+```
+
+---
+
+## 🚀 Use Cases
+
+- Gene prioritization for longevity research
+- Mapping SNPs from literature to existing aging gene databases
+- Input for polygenic risk score (PRS) modeling
+- Enhancing datasets like LongevityMap with literature-derived signals
+
+---
+
+## 📚 Citation
+
+If you use this dataset, please cite the original paper:
+
+> Smulders, Y. M., et al. (2023). Genetics of human longevity: From variants to genes to pathways. *Journal of Internal Medicine*.  
+> [https://doi.org/10.1111/joim.13690](https://doi.org/10.1111/joim.13690)
+
+---
+
+## 🙏 Acknowledgments
+
+Extracted and compiled by Iris Lee for longevity research and hackathon use. ### 🧑‍💻 Team: MultiModalMillenials. Iris Lee (`@iris8090`)