Multi-Ancestry GWAS Summary Statistics for Prostate-Specific Antigen

Genome-wide association study summary statistics for prostate-specific antigen levels from a meta-analysis of 95,768 men. The data includes 128 significant genetic associations and summary statistics for approximately 1.2 million variants used to derive a polygenic score. The research was conducted by Linda Kachuri of Stanford University.

Use Cases

• Developing a polygenic score for PSA levels based on the 128 genome-wide significant associations.
• Conducting ancestry-stratified genetic analyses using the provided stratified summary statistics.
• Investigating genetic determinants of constitutive PSA variation mentioned in the GWAS meta-analysis.
• Improving prostate cancer screening models by accounting for genetic PSA variation as described.

Strengths

• Data is derived from a large multi-ancestry meta-analysis of 95,768 men.
• Includes 128 genome-wide significant genetic associations (P<5×10⁻⁸).
• The derived polygenic score explains 9.61% of constitutive PSA variation.
• Provides summary statistics for approximately 1.2 million genetic variants.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Stanford University

Collection Method

Multi-ancestry GWAS meta-analysis