Nine-gene pharmacogenomics profile service: The Mayo Clinic experience
Purpose The Pharmacogenomics (PGx) Profile Service was a proof-of-concept project to implement PGx in patient care at Mayo Clinic. Methods Eighty-two healthy individuals aged 18 and older underwent genotyping of CYP1A2, CYP2C9, CYP2C19, CYP2D6, CYP3A4, CYP3A5, SLCO1B1, HLA-B*58:01 , and VKORC1 . A P...
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Veröffentlicht in: | The pharmacogenomics journal 2022-02, Vol.22 (1), p.69-74 |
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Sprache: | eng |
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Zusammenfassung: | Purpose
The Pharmacogenomics (PGx) Profile Service was a proof-of-concept project to implement PGx in patient care at Mayo Clinic.
Methods
Eighty-two healthy individuals aged 18 and older underwent genotyping of
CYP1A2, CYP2C9, CYP2C19, CYP2D6, CYP3A4, CYP3A5, SLCO1B1, HLA-B*58:01
, and
VKORC1
. A PGx pharmacist was involved in ordering, meeting with patients, interpreting, reviewing, and documenting results.
Results
Ninety three percent were CYP1A2 rapid metabolizers, 92% CYP3A4 normal metabolizers, and 88% CYP3A5 poor metabolizers; phenotype frequencies for CYP2C19 and CYP2D6 varied. Seventy-three percent had normal functioning SLCO1B1 transporter, 4% carried the
HLA-B*58:01
risk variant, and 35% carried
VKORC1
and
CYP2C9
variants that increased warfarin sensitivity.
Conclusion
Pre-emptive PGx testing offered medication improvement opportunity in 56% of participants for commonly used medications. A collaborative approach involving a PGx pharmacist integrated within a clinical practice with regards to utility of PGx results allowed for implementation of the PGx Profile Service.
Key points
The Mayo Clinic PGx (PGx) Profile Service was a proof-of-concept project to utilize PGx testing as another clinical tool to enhance medication selection and decrease serious adverse reactions or medication failures.
Over one-half of participants in the pilot using the PGx Profile Service were predicted to benefit from pre-emptive PGx testing to guide pharmacotherapy.
PGx pharmacists played a crucial role in the PGx Profile Service by educating participants, identifying medication-gene interactions, and providing evidence-based (CPIC and DPWG) PGx recommendations for past, current, and future medication us. |
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ISSN: | 1470-269X 1473-1150 |
DOI: | 10.1038/s41397-021-00258-0 |