Datasets:

OpenMed
/

pgc-ptsd

license: cc-by-4.0
task_categories:
  - tabular-regression
  - tabular-classification
tags:
  - gwas
  - summary-statistics
  - psychiatric-genomics
  - pgc
  - ptsd
  - mental-health
  - genetics
  - genomics
  - biology
  - health
  - bioinformatics
pretty_name: PGC Post-Traumatic Stress Disorder GWAS Summary Statistics
size_categories:
  - 1M-10M
configs:
  - config_name: maltreatment2020
    default: true
    data_files:
      - split: train
        path: data/maltreatment2020/*.parquet
  - config_name: ptsd2018
    data_files:
      - split: train
        path: data/ptsd2018/*.parquet
  - config_name: ptsd2019
    data_files:
      - split: train
        path: data/ptsd2019/*.parquet
  - config_name: ptsd2024
    data_files:
      - split: train
        path: data/ptsd2024/*.parquet
language:
  - en
source_datasets:
  - pgc

PGC Post-Traumatic Stress Disorder — GWAS Summary Statistics

Dataset Description

Genome-wide association study (GWAS) summary statistics for Post-Traumatic Stress Disorder phenotypes from the Psychiatric Genomics Consortium (PGC).

Usage

from datasets import load_dataset

ds = load_dataset("OpenMed/pgc-ptsd", "maltreatment2020")
print(ds)

Subsets

Config	Phenotype	Journal	Year	PubMed	Rows
`maltreatment2020`	Childhood Maltreatment	Translational Psychiatry	2020	32066696	22,008,240
`ptsd2018`	PTSD	Molecular Psychiatry	2018	28439101	59,901,811
`ptsd2019`	PTSD	Nature Communications	2019	31594949	46,179,924
`ptsd2024`	PTSD	Nature Genetics	2024	38637617	38,117,034

Terms of Use

This dataset is released under CC BY 4.0.

Cite the original publication(s)
Not attempt to re-identify individual participants
Comply with PGC data use policies

Source

Psychiatric Genomics Consortium

Last updated: April 2026