GTEx v8: Elastic Net Prediction Models for Gene Expression

Elastic Net prediction models and LD reference data from the GTEx v8 project, supporting PrediXcan and MultiXcan analyses. The data was created by Alvaro Barbeira at the University of Chicago and is associated with a specific publication. Users must cite the source publication when using this data.

Use Cases

• Predict gene expression levels from genotype data based on the provided Elastic Net models.
• Perform transcriptome-wide association studies (TWAS) using the PrediXcan or MultiXcan frameworks supported by the data.
• Analyze the relationship between genetic variants and complex diseases or traits using the LD reference data.

Strengths

• Models are derived from the GTEx v8 project, a major resource for studying tissue-specific gene expression.
• Explicitly supports established analysis tools like PrediXcan and MultiXcan for genetic research.

Limitations

• Row count, column definitions, and file size are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of Chicago

Collection Method

Derived from the Genotype-Tissue Expression (GTEx) v8 project.