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README.md
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---
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license: cc-by-4.0
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task_categories:
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- tabular-regression
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- tabular-classification
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tags:
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- gwas
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- summary-statistics
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- psychiatric-genomics
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- pgc
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- mdd
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- mental-health
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- genetics
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- genomics
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pretty_name: >-
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PGC Major Depressive Disorder GWAS Summary Statistics
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size_categories:
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- 1M-10M
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configs:
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- config_name: AntiDepResponse2021
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default: true
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data_files:
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- split: train
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path: data/AntiDepResponse2021/*.parquet
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- config_name: mdd2013
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data_files:
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- split: train
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path: data/mdd2013/*.parquet
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- config_name: mdd2018
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data_files:
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- split: train
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path: data/mdd2018/*.parquet
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- config_name: mdd2018_noUKBB
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data_files:
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- split: train
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path: data/mdd2018_noUKBB/*.parquet
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- config_name: mdd2021asi
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data_files:
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- split: train
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path: data/mdd2021asi/*.parquet
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- config_name: mdd2023diverse
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data_files:
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- split: train
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path: data/mdd2023diverse/*.parquet
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- config_name: mdd2025
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data_files:
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- split: train
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path: data/mdd2025/*.parquet
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- config_name: ppd2023
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data_files:
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- split: train
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path: data/ppd2023/*.parquet
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---
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# PGC Major Depressive Disorder — GWAS Summary Statistics
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[](https://creativecommons.org/licenses/by/4.0/)
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## Dataset Description
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Genome-wide association study (GWAS) summary statistics for **Major Depressive Disorder** phenotypes from the [Psychiatric Genomics Consortium (PGC)](https://pgc.unc.edu/).
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Each publication is available as a separate subset (config) and can be loaded independently.
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## Usage
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```python
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from datasets import load_dataset
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# Load a specific GWAS
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ds = load_dataset("OpenMed/pgc-mdd", "AntiDepResponse2021")
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print(ds)
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```
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### List all available subsets
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```python
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from datasets import get_dataset_config_names
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print(get_dataset_config_names("OpenMed/pgc-mdd"))
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```
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## Subsets
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| Config | Phenotype | Journal | Year | PubMed |
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|--------|-----------|---------|------|--------|
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| `AntiDepResponse2021` | Antidepressant Response | Biol Psychiatry: Global Open Science | 2021 | Pending |
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| `mdd2013` | Major Depression | Molecular Psychiatry | 2013 | [22472876](https://pubmed.ncbi.nlm.nih.gov/22472876/) |
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| `mdd2018` | Major Depression | Nature Genetics | 2018 | [29700475](https://pubmed.ncbi.nlm.nih.gov/29700475/) |
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| `mdd2018_noUKBB` | Major Depression (no UK Biobank) | Nature Genetics | 2018 | [29700475](https://pubmed.ncbi.nlm.nih.gov/29700475/) |
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| `mdd2021asi` | Major Depression (East Asian) | JAMA Psychiatry | 2021 | [34586374](https://pubmed.ncbi.nlm.nih.gov/34586374/) |
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| `mdd2023diverse` | Major Depression (Multi-Ancestry) | Nature Genetics | 2023 | [38177345](https://pubmed.ncbi.nlm.nih.gov/38177345/) |
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| `mdd2025` | Major Depression | Cell | 2025 | [39814019](https://pubmed.ncbi.nlm.nih.gov/39814019/) |
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| `ppd2023` | Peripartum Depression | American Journal of Psychiatry | 2023 | [37849304](https://pubmed.ncbi.nlm.nih.gov/37849304/) |
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## Data Format
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All data is stored as **Apache Parquet** shards (10,000 rows each). Common columns:
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| Column | Description |
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|--------|-------------|
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| `SNP` / `ID` | SNP rsID or variant identifier |
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| `CHR` | Chromosome |
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| `BP` / `POS` | Base-pair position (typically GRCh37/hg19) |
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| `A1` | Effect allele |
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| `A2` | Non-effect allele |
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| `OR` / `BETA` | Odds ratio or effect size |
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| `SE` | Standard error |
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| `P` | P-value |
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| `_source_file` | Original source filename |
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> Column names vary between publications. Check each subset's schema.
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## Citation
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Please cite the original publication (see PubMed links above) and acknowledge the PGC:
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> Data were obtained from the Psychiatric Genomics Consortium — https://pgc.unc.edu/
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## Terms of Use
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Released under **[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)** / **[CC0 1.0](https://creativecommons.org/publicdomain/zero/1.0/)**.
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- Cite the original publication(s)
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- Do not attempt to re-identify individual participants
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- Comply with the PGC [data use policies](https://pgc.unc.edu/for-researchers/data-access/)
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## Source
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- [Psychiatric Genomics Consortium (PGC)](https://pgc.unc.edu/)
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- [PGC Downloads](https://pgc.unc.edu/for-researchers/download-results/)
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