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tunahanf/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… See the full description on the dataset page: https://huggingface.co/datasets/tunahanf/pgc-bipolar.

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PGC Bipolar Disorder — GWAS Summary Statistics

![License: CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)

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

python
from datasets import load_dataset

# Load a specific GWAS
ds = load_dataset("OpenMed/pgc-bipolar", "bip2011")
print(ds)

List all available subsets

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

Subsets

ConfigPhenotypeJournalYearPubMedRows
bip2011Bipolar DisorderNature Genetics201121926972—
bip2019Bipolar DisorderNature Genetics201931043756—
bip2021Bipolar DisorderNature Genetics202134002096—
bip2021_noUKBBBipolar Disorder (no UK Biobank)Nature Genetics202134002096—
bip2024Bipolar DisorderNature202439843750—

Data Format

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

ColumnDescription
SNP / IDSNP rsID or variant identifier
CHRChromosome
BP / POSBase-pair position (typically GRCh37/hg19)
A1Effect allele
A2Non-effect allele
OR / BETAOdds ratio or effect size
SEStandard error
PP-value
_source_fileOriginal 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

Source

Last updated: April 2026