Nine-gene pharmacogenomics profile service: The Mayo Clinic experience
- PMID: 34671112
- DOI: 10.1038/s41397-021-00258-0
Nine-gene pharmacogenomics profile service: The Mayo Clinic experience
Abstract
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.
© 2021. The Author(s), under exclusive licence to Springer Nature Limited.
Similar articles
-
Pharmacogenomics implementation in cardiovascular disease in a highly diverse population: initial findings and lessons learned from a pilot study in United Arab Emirates.Hum Genomics. 2022 Sep 25;16(1):42. doi: 10.1186/s40246-022-00417-9. Hum Genomics. 2022. PMID: 36154845 Free PMC article.
-
Projected impact of a multigene pharmacogenetic test to optimize medication prescribing in cardiovascular patients.Pharmacogenomics. 2018 Jun 1;19(9):771-782. doi: 10.2217/pgs-2018-0049. Epub 2018 May 25. Pharmacogenomics. 2018. PMID: 29793377 Free PMC article.
-
An analysis of allele, genotype and phenotype frequencies, actionable pharmacogenomic (PGx) variants and phenoconversion in 5408 Australian patients genotyped for CYP2D6, CYP2C19, CYP2C9 and VKORC1 genes.J Neural Transm (Vienna). 2019 Jan;126(1):5-18. doi: 10.1007/s00702-018-1922-0. Epub 2018 Sep 6. J Neural Transm (Vienna). 2019. PMID: 30191366
-
Predictive Biomarkers and Personalized Therapy: Use of Pharmacogenetic Testing in a Scandinavian Perspective.Basic Clin Pharmacol Toxicol. 2025 Mar;136(3):e70009. doi: 10.1111/bcpt.70009. Basic Clin Pharmacol Toxicol. 2025. PMID: 39971612 Free PMC article. Review.
-
Systematic review of the evidence on the cost-effectiveness of pharmacogenomics-guided treatment for cardiovascular diseases.Genet Med. 2020 Mar;22(3):475-486. doi: 10.1038/s41436-019-0667-y. Epub 2019 Oct 8. Genet Med. 2020. PMID: 31591509 Free PMC article.
Cited by
-
Normalising the Implementation of Pharmacogenomic (PGx) Testing in Adult Mental Health Settings: A Theory-Based Systematic Review.J Pers Med. 2024 Sep 27;14(10):1032. doi: 10.3390/jpm14101032. J Pers Med. 2024. PMID: 39452539 Free PMC article. Review.
-
Identifying the prevalence of clinically actionable drug-gene interactions in a health system biorepository to guide pharmacogenetics implementation services.Clin Transl Sci. 2023 Feb;16(2):292-304. doi: 10.1111/cts.13449. Epub 2022 Dec 12. Clin Transl Sci. 2023. PMID: 36510710 Free PMC article.
-
Pilot Study: Personalized Medicine in Endoscopy, Can Pharmacogenomics Predict Response to Conscious Sedation?J Pers Med. 2023 Jul 7;13(7):1107. doi: 10.3390/jpm13071107. J Pers Med. 2023. PMID: 37511720 Free PMC article.
-
Care Team Attributes Predict Likelihood of Utilizing Pharmacogenomic Information During Inpatient Prescribing.Clin Transl Sci. 2025 Apr;18(4):e70193. doi: 10.1111/cts.70193. Clin Transl Sci. 2025. PMID: 40259529 Free PMC article.
-
The Critical Role of Pharmacists in the Clinical Delivery of Pharmacogenetics in the U.S.Pharmacy (Basel). 2023 Sep 10;11(5):144. doi: 10.3390/pharmacy11050144. Pharmacy (Basel). 2023. PMID: 37736916 Free PMC article. Review.
References
-
- Whirl-Carrillo M, McDonagh EM, Hebert JM, Gong L, Sangkuhl K, Thorn CF, et al. PGx knowledge for personalized medicine. Clin Pharm Ther. 2012;92:414–7. - DOI
-
- CPIC: Clinical Pharmacogenetics Implementation Consortium of the PGx Research Network. Guidelines. https://cpicpgx.org/guidelines/ (accessed 2019 Dec 4).
-
- Swen JJ, Wilting I, de Goede AL, Grandia L, Mulder H, Touw DJ, et al. Pharmacogenetics: from bench to byte. Clin Pharm Ther. 2008;83:781–7. - DOI
-
- Swen JJ, Nijenhuis M, de Boer A, Grandia L, Maitland-van der Zee AH, Mulder H, et al. Pharmacogenetics: from bench to byte–an update of guidelines. Clin Pharm Ther. 2011;89:662–73. - DOI
-
- US FDA: Drug development and drug interactions: Table of substrates, inhibitors and inducers. https://www.fda.gov/drugs/drug-interactions-labeling/drug-development-an... (Accessed 2019 Nov 4).
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Research Materials
Miscellaneous