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A horizon-prioritizing method can identify gaps among genomic application guidelines.

¹Department of Medical and Molecular Genetics, School of Medicine, Indiana University, Indianapolis, Indiana, USA.

Clinical Pharmacology and Therapeutics

|March 21, 2014

Summary

Decision-makers need methods to evaluate genomic applications. This review discusses a horizon-scanning approach for prioritizing genomics, comparing Clinical Pharmacogenetics Implementation Consortium (CPIC) and National Comprehensive Cancer Network (NCCN) guidelines.

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Area of Science:

Genomic Medicine
Translational Genomics
Health Services Research

Background:

Decision-makers require robust methods to assess the efficacy of genomic applications.
Several agencies have developed classification systems to evaluate genomic applications based on evidence.
Prioritizing genomics applications is crucial for effective implementation in healthcare.

Purpose of the Study:

To review the horizon-scanning method for prioritizing genomics applications.
To compare classification guidelines from the Clinical Pharmacogenetics Implementation Consortium (CPIC) and the National Comprehensive Cancer Network (NCCN).
To offer suggestions for classifying Tier 3/Red genomics applications and assess the reproducibility of the horizon-scanning method's data-curating algorithm.

Main Methods:

Review of the horizon-scanning method for prioritizing genomics applications.
Analysis of CPIC and NCCN guidelines using KRAS (Tier 1/Green) and TPMT (Tier 2/Yellow) as examples.
Discussion of suggestions for classifying Tier 3/Red genomics applications.
Evaluation of the reproducibility of the horizon-scanning method's data-curating algorithm.

Main Results:

The review examines the horizon-scanning method for prioritizing genomics applications.
Differences between CPIC and NCCN guidelines are discussed using specific examples.
Suggestions are proposed for classifying Tier 3/Red genomics applications.
The reproducibility of the data-curating algorithm is considered.

Conclusions:

A systematic approach is needed to evaluate genomic applications for clinical decision-making.
Comparing different guideline systems highlights areas for improvement in evidence-based genomics.
Further refinement of prioritization methods and reproducibility assessment is warranted for advancing genomic medicine.