PGC Schizophrenia Genome-Wide Association Study Summary Statistics

PGC Schizophrenia contains genome-wide association study summary statistics for schizophrenia phenotypes from the Psychiatric Genomics Consortium. The dataset aggregates multiple GWAS publications as separate, independently loadable subsets. It was published by OpenMed and last updated in April 2026.

Use Cases

• Identify significant single-nucleotide polymorphisms (SNPs) associated with schizophrenia risk using p-values and effect sizes from summary statistics.
• Perform fine-mapping of genetic loci by analyzing linkage disequilibrium patterns and beta coefficients across different GWAS subsets.
• Calculate polygenic risk scores by aggregating weighted SNP effects (beta/OR) from summary statistics across the genome.
• Conduct cross-trait genetic correlation analysis using Z-scores and allele frequency data from multiple PGC study configurations.

Strengths

• Data originates from the authoritative Psychiatric Genomics Consortium, a major collaborative effort.
• Includes multiple GWAS publications as separate subsets, allowing for comparative analysis.

Limitations

• Specific sample sizes, row counts, and column definitions for each GWAS subset are not provided.
• The geographic and demographic composition of the underlying study cohorts is unknown, potentially introducing population bias.

Provenance

Source

Psychiatric Genomics Consortium (PGC)

Collection Method

Aggregated genome-wide association study summary statistics from multiple published studies.

Freshness

Last updated in April 2026.