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Published on: August 17, 2018
Reinterpretation of pharmacogenomic phenotypes after combinatorial psychiatric testing
Michele Cung1, John Loftus2, Mark A Marzinke3,4
1Department of Pharmacy, Johns Hopkins Hospital, Baltimore, MD, USA.
Psychiatric pharmacogenomic testing interpretations require updates as scientific understanding evolves. Reinterpreting results revealed significant changes, impacting antidepressant prescribing and highlighting the need for standardized protocols in health systems.
Area of Science:
- Pharmacogenomics
- Clinical Chemistry
- Psychiatric Pharmacology
Background:
- Combinatorial pharmacogenomic panels assist psychiatric medication prescribing.
- Test results are often static documents with genotype-to-phenotype interpretations.
- These interpretations can vary between labs and change with evolving scientific consensus.
Purpose of the Study:
- To describe the implications of reinterpreting phenotypes after combinatorial psychiatric pharmacogenomic testing in a real-world setting.
- To assess the alignment of reported phenotypes with current standardized definitions.
Main Methods:
- 143 patients undergoing testing from 2014-2021 had reported genotypes and phenotypes compared to 2024 Clinical Pharmacogenetics Implementation Consortium definitions.
- Chi-square tests and logistic regression analyzed phenotype frequency differences before and after reinterpretation.
- The association between reinterpretation and time since testing was examined.
Main Results:
- 81 patients (57%) needed at least one updated interpretation.
- CYP2C19 and CYP2D6 interpretations changed for 31% and 29% of patients, respectively.
- Reinterpretation reduced the number of CYP2D6 ultrarapid and poor metabolizers (p=0.005), impacting antidepressant prescribing.
Conclusions:
- Reported phenotypes from combinatorial PGx testing frequently do not align with current standardized definitions.
- This discrepancy exists even for recently performed tests.
- Health systems should implement procedures for standardizing and periodically updating pharmacogenomic interpretations.
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