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PGC Eating Disorders — GWAS Summary Statistics

License: CC BY 4.0

Dataset Description

Genome-wide association study (GWAS) summary statistics for Eating Disorders 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-eating-disorders", "an2017")
print(ds)

List all available subsets

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

Subsets

Config Phenotype Journal Year PubMed Rows
an2017 Anorexia Nervosa American Journal of Psychiatry 2017 28494655
an2019 Anorexia Nervosa Nature Genetics 2019 31308545

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

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