Tacrolimus Metabolism Phenotype Predictors in Kidney Transplant Recipients

Andrea Guzmán-de Antonio published a dataset on figshare in 2026. It contains data from a single-center retrospective study of 77 adult kidney transplant recipients treated with tacrolimus. The data supports analysis of pharmacogenetic and clinical factors predicting tacrolimus metabolism phenotype.

Use Cases

• Build predictive models for tacrolimus metabolism phenotype based on CYP3A5 genotype and clinical variables.
• Assess the diagnostic accuracy of CYP3A5 rs776746 genotype for identifying high-metabolism phenotypes.
• Compare multivariable logistic regression models integrating genetic scores, age, and post-transplant period.
• Evaluate the incremental value of additional pharmacogenetic variants like ABCB1 rs1045642 on model performance.

Strengths

• Dataset includes 77 patient records, enabling statistical analysis.
• Model performance metrics are reported, including an optimism-corrected AUC of 0.80 and a McFadden pseudo-R² of 0.26.
• Diagnostic accuracy metrics for CYP3A5 genotype are provided, with a specificity of 89.5%.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is from a single-center study with 77 patients, which may limit generalizability.

Provenance

Source

figshare

Collection Method

Single-centre retrospective study.

Freshness

Last updated 2026-05-15 05:28:53; freshness should be verified.