pgc-bipolar

license: cc-by-4.0
task_categories:
  - tabular-regression
  - tabular-classification
tags:
  - gwas
  - summary-statistics
  - psychiatric-genomics
  - pgc
  - bip
  - mental-health
  - genetics
  - genomics
  - biology
  - health
  - bioinformatics
pretty_name: PGC Bipolar Disorder GWAS Summary Statistics
size_categories:
  - 1M-10M
configs:
  - config_name: bip2011
    default: true
    data_files:
      - split: train
        path: data/bip2011/*.parquet
  - config_name: bip2019
    data_files:
      - split: train
        path: data/bip2019/*.parquet
  - config_name: bip2021
    data_files:
      - split: train
        path: data/bip2021/*.parquet
  - config_name: bip2021_noUKBB
    data_files:
      - split: train
        path: data/bip2021_noUKBB/*.parquet
  - config_name: bip2024
    data_files:
      - split: train
        path: data/bip2024/*.parquet
language:
  - en
source_datasets:
  - pgc

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

Last updated: April 2026