GTEx Admixture: eQTL Summary Statistics and GWAS Colocalization Probabilities

eQTL summary statistics and GWAS colocalization posterior probabilities from an admixed subcohort of GTEx v8. The data includes local and global ancestry adjustments and was produced by Nicole R. Gay of Stanford University. The dataset is associated with a preprint on bioRxiv and source code on GitHub and Zenodo.

Use Cases

• Identify expression quantitative trait loci (eQTLs) based on summary statistics from an admixed population.
• Assess colocalization between eQTLs and GWAS signals using provided posterior probabilities.
• Study the impact of local and global ancestry adjustments on eQTL discovery and GWAS interpretation.
• Replicate or extend analyses from the related preprint using the provided summary statistics.

Strengths

• Data is derived from the GTEx v8 resource, a major reference for human gene expression.
• Focus on an admixed subcohort provides insights into genetic ancestry effects.
• Includes both eQTL summary statistics and GWAS colocalization probabilities.

Limitations

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

Provenance

Source

GTEx v8 admixed subcohort analysis by Nicole R. Gay, Stanford University.

Collection Method

eQTL calling with local and global ancestry adjustments.