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An Evidence‐Based Framework for Evaluating Pharmacogenomics Knowledge for Personalized Medicine

📅 July 3, 2021 👤 Michelle Whirl‐Carrillo, Rachel Huddart, Li Gong et al. 📖 Clinical Pharmacology & Therapeutics 📊 773 citations

🤖 Plain-English Summary

Clinical annotations are one of the most popular resources available on the Pharmacogenomics Knowledgebase (PharmGKB). Overall, the system increases transparency, consistency, and reproducibility in LOE assignment to clinical annotations.

🔑 Key Findings

  • Each clinical annotation summarizes the association between variant-drug pairs, shows relevant findings from the curated literature, and is assigned a level of evidence (LOE) to indicate the strength of support for that association.
  • Evidence from the pharmacogenomic literature is curated into PharmGKB as variant annotations, which can be used to create new clinical annotations or added to existing clinical annotations.
  • This means that the same clinical annotation can be worked on by multiple curators over time.

💡 Why This Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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📋 Article Details

Category 🤖 Artificial Intelligence
Published Jul 03, 2021
Journal Clinical Pharmacology & Therapeutics
Authors Michelle Whirl‐Carrillo, Rachel Huddart, Li Gong, Katrin Sangkuhl, Caroline F. Thorn
DOI 10.1002/cpt.2350
Citations 773
Source OpenAlex

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