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Datasets:
OpenMed
/
pgc-adhd

Tasks:
Tabular Regression
Tabular Classification
Modalities:
Tabular
Text
Formats:
parquet
Languages:
English
Size:
10M - 100M
Tags:
gwas
summary-statistics
psychiatric-genomics
pgc
adhd
mental-health
Libraries:
Datasets
Dask
Polars
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metadata 
license: cc-by-4.0
task_categories:
  - tabular-regression
  - tabular-classification
tags:
  - gwas
  - summary-statistics
  - psychiatric-genomics
  - pgc
  - adhd
  - mental-health
  - genetics
  - genomics
  - biology
  - health
  - bioinformatics
pretty_name: PGC Attention Deficit Hyperactivity Disorder GWAS Summary Statistics
size_categories:
  - 1M-10M
configs:
  - config_name: adhd2010
    default: true
    data_files:
      - split: train
        path: data/adhd2010/*.parquet
  - config_name: adhd2018_SexSpecific
    data_files:
      - split: train
        path: data/adhd2018_SexSpecific/*.parquet
  - config_name: adhd2019
    data_files:
      - split: train
        path: data/adhd2019/*.parquet
  - config_name: adhd2022
    data_files:
      - split: train
        path: data/adhd2022/*.parquet
dataset_info: {}
language:
  - en
source_datasets:
  - pgc

PGC Attention Deficit Hyperactivity Disorder — GWAS Summary Statistics

License: CC BY 4.0

Dataset Description

Genome-wide association study (GWAS) summary statistics for Attention Deficit Hyperactivity Disorder phenotypes from the Psychiatric Genomics Consortium (PGC).

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

Usage 

from datasets import load_dataset

# Load a specific GWAS
ds = load_dataset("OpenMed/pgc-adhd", "adhd2010")
print(ds)

List all available subsets 

from datasets import get_dataset_config_names
print(get_dataset_config_names("OpenMed/pgc-adhd"))

Subsets

Config Phenotype Journal Year PubMed Rows
adhd2010 ADHD JAACAP 2010 20732625 —
adhd2018_SexSpecific ADHD (Sex-Specific) Biological Psychiatry 2018 29325848 —
adhd2019 ADHD Nature Genetics 2019 30478444 —
adhd2022 ADHD Nature Genetics 2022 36702997 —

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.

  • Cite the original publication(s)
  • Do not attempt to re-identify individual participants
  • Comply with the PGC data use policies

Source

Last updated: April 2026