OpenMed/pgc-bipolar

PGC Bipolar Disorder — GWAS Summary Statistics

Dataset Description

Genome-wide association study (GWAS) summary statistics for Bipolar 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-bipolar", "bip2011")
print(ds)

List all available subsets

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

Subsets

Config	Phenotype	Journal	Year	PubMed	Rows
bip2011	Bipolar Disorder	Nature Genetics	2011	21926972	—
bip2019	Bipolar Disorder	Nature Genetics	2019	31043756	—
bip2021	Bipolar Disorder	Nature Genetics	2021	34002096	—
bip2021_noUKBB	Bipolar Disorder (no UK Biobank)	Nature Genetics	2021	34002096	—
bip2024	Bipolar Disorder	Nature	2024	39843750	—

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