Multivariate Genome-Wide Association Summary Statistics for Shared Aging Factor

Genome-wide summary statistics from a multivariate GWAS of five aging-related phenotypes using Genomic Structural Equation Modeling. The study has an effective sample size of 1,958,774 individuals. The data was produced by Daniel B. Rosoff at the University of Oxford.

Use Cases

• Conducting follow-up multivariate GWAS analyses based on the provided summary statistics.
• Identifying genetic variants associated with a shared aging factor across multiple phenotypes.
• Performing genetic correlation or heritability analyses using the summary-level data.
• Integrating these summary statistics into larger genomic meta-analyses.

Strengths

• Effective sample size of 1,958,774 individuals provides substantial statistical power.
• Multivariate analysis of five aging-related phenotypes captures shared genetic architecture.
• Data originates from a reputable academic institution, the University of Oxford.

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

University of Oxford

Collection Method

Computed from a multivariate genome-wide association study using Genomic Structural Equation Modeling.