OpenMed/pgc-cross-disorder

PGC Cross-Disorder — GWAS Summary Statistics

Dataset Description

Genome-wide association study (GWAS) summary statistics for Cross-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-cross-disorder", "cdg2013")
print(ds)

List all available subsets

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

Subsets

Config	Phenotype	Journal	Year	PubMed	Rows
cdg2013	Multiple Psychiatric Disorders	The Lancet	2013	23453885	—
cdg2018-bip-scz	Bipolar Disorder & Schizophrenia	Cell	2018	29906448	—
cdg2019	Multiple Psychiatric Disorders	Cell	2019	31835028	—
cdg2020-bip-mdd	Bipolar Disorder & Major Depression	Biological Psychiatry	2020	31926635	—
cdg2025	Multiple Psychiatric Disorders	Nature	2025	Pending	—

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

• Psychiatric Genomics Consortium (PGC)
• PGC Downloads

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Last updated: April 2026