Datasets:
File size: 2,914 Bytes
377a420 e57cdd8 377a420 e57cdd8 377a420 e57cdd8 377a420 e57cdd8 377a420 99a17e9 377a420 99a17e9 377a420 99a17e9 377a420 99a17e9 377a420 99a17e9 377a420 99a17e9 377a420 99a17e9 377a420 99a17e9 377a420 99a17e9 377a420 99a17e9 377a420 99a17e9 377a420 99a17e9 377a420 99a17e9 377a420 99a17e9 e57cdd8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 | ---
license: cc-by-4.0
task_categories:
- tabular-regression
- tabular-classification
tags:
- gwas
- summary-statistics
- psychiatric-genomics
- pgc
- asd
- mental-health
- genetics
- genomics
- biology
- health
- bioinformatics
pretty_name: PGC Autism Spectrum Disorder GWAS Summary Statistics
size_categories:
- 1M-10M
configs:
- config_name: asd2017
default: true
data_files:
- split: train
path: data/asd2017/*.parquet
- config_name: asd2019
data_files:
- split: train
path: data/asd2019/*.parquet
language:
- en
source_datasets:
- pgc
---
# PGC Autism Spectrum Disorder — GWAS Summary Statistics
[](https://creativecommons.org/licenses/by/4.0/)
## Dataset Description
Genome-wide association study (GWAS) summary statistics for **Autism Spectrum 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-autism", "asd2017")
print(ds)
```
### List all available subsets
```python
from datasets import get_dataset_config_names
print(get_dataset_config_names("OpenMed/pgc-autism"))
```
## Subsets
| Config | Phenotype | Journal | Year | PubMed | Rows |
|--------|-----------|---------|------|--------|------|
| `asd2017` | Autism Spectrum Disorder | Molecular Autism | 2017 | [28540026](https://pubmed.ncbi.nlm.nih.gov/28540026/) | — |
| `asd2019` | Autism Spectrum Disorder | Nature Genetics | 2019 | [30804558](https://pubmed.ncbi.nlm.nih.gov/30804558/) | — |
## 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*
|