---
license: cc-by-4.0
task_categories:
- tabular-regression
- tabular-classification
tags:
- gwas
- summary-statistics
- psychiatric-genomics
- pgc
- anx
- mental-health
- genetics
- genomics
- biology
- health
- bioinformatics
pretty_name: PGC Anxiety Disorder GWAS Summary Statistics
size_categories:
- 1M-10M
configs:
- config_name: anx2016
  default: true
  data_files:
  - split: train
    path: data/anx2016/*.parquet
- config_name: anx2026
  data_files:
  - split: train
    path: data/anx2026/*.parquet
- config_name: anx2026_GADsymptsQuant
  data_files:
  - split: train
    path: data/anx2026_GADsymptsQuant/*.parquet
- config_name: panic2019
  data_files:
  - split: train
    path: data/panic2019/*.parquet
language:
- en
source_datasets:
- pgc
---

# PGC Anxiety Disorder — GWAS Summary Statistics

[![License: CC BY 4.0](https://img.shields.io/badge/License-CC_BY_4.0-lightgrey)](https://creativecommons.org/licenses/by/4.0/)

## Dataset Description

Genome-wide association study (GWAS) summary statistics for **Anxiety Disorder** phenotypes from the [Psychiatric Genomics Consortium (PGC)](https://pgc.unc.edu/).

Each publication is available as a separate subset (config) and can be loaded independently.

## Usage

```python
from datasets import load_dataset

# Load a specific GWAS
ds = load_dataset("OpenMed/pgc-anxiety", "anx2016")
print(ds)
```

### List all available subsets

```python
from datasets import get_dataset_config_names
print(get_dataset_config_names("OpenMed/pgc-anxiety"))
```

## Subsets

| Config | Phenotype | Journal | Year | PubMed | Rows |
|--------|-----------|---------|------|--------|------|
| `anx2016` | Anxiety Disorders & Factors | Molecular Psychiatry | 2016 | [26754954](https://pubmed.ncbi.nlm.nih.gov/26754954/) | — |
| `anx2026` | Anxiety Disorders (Case-Control) | Nature Genetics | 2026 | [39006447](https://pubmed.ncbi.nlm.nih.gov/39006447/) | — |
| `anx2026_GADsymptsQuant` | GAD Symptoms (Quantitative) | Nature Human Behaviour | 2026 | Pending | — |
| `panic2019` | Panic Disorder | Molecular Psychiatry | 2019 | [31712720](https://pubmed.ncbi.nlm.nih.gov/31712720/) | — |

## Data Format

All data is stored as **Apache Parquet** shards (10,000 rows each). Common columns:

| Column | Description |
|--------|-------------|
| `SNP` / `ID` | SNP rsID or variant identifier |
| `CHR` | Chromosome |
| `BP` / `POS` | Base-pair position (typically GRCh37/hg19) |
| `A1` | Effect allele |
| `A2` | Non-effect allele |
| `OR` / `BETA` | Odds ratio or effect size |
| `SE` | Standard error |
| `P` | P-value |
| `_source_file` | Original source filename |

> Column names vary between publications. Check each subset's schema.

## Citation

Please cite the original publication (see PubMed links above) and acknowledge the PGC:

> Data were obtained from the Psychiatric Genomics Consortium — https://pgc.unc.edu/

## Terms of Use

Released under **[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)**.

- Cite the original publication(s)
- Do not attempt to re-identify individual participants
- Comply with the PGC [data use policies](https://pgc.unc.edu/for-researchers/data-access/)

## Source

- [Psychiatric Genomics Consortium (PGC)](https://pgc.unc.edu/)
- [PGC Downloads](https://pgc.unc.edu/for-researchers/download-results/)

---

*Last updated: April 2026*