» Articles » PMID: 38020121

Estimating the Efficacy of Pharmacogenomics over a Lifetime

Overview
Specialty General Medicine
Date 2023 Nov 29
PMID 38020121
Authors
Affiliations
Soon will be listed here.
Abstract

It is well known that common variants in specific genes influence drug metabolism and response, but it is currently unknown what fraction of patients are given prescriptions over a lifetime that could be contraindicated by their pharmacogenomic profiles. To determine the clinical utility of pharmacogenomics over a lifetime in a general patient population, we sequenced the genomes of 300 deceased Marshfield Clinic patients linked to lifelong medical records. Genetic variants in 33 pharmacogenes were evaluated for their lifetime impact on drug prescribing using extensive electronic health records. Results show that 93% of the 300 deceased patients carried clinically relevant variants. Nearly 80% were prescribed approximately three medications on average that may have been impacted by these variants. Longitudinal data suggested that the optimal age for pharmacogenomic testing was prior to age 50, but the optimal age is greatly influenced by the stability of the population in the healthcare system. This study emphasizes the broad clinical impact of pharmacogenomic testing over a lifetime and demonstrates the potential application of genomic medicine in a general patient population for the advancement of precision medicine.

Citing Articles

Translating pharmacogenomic sequencing data into drug response predictions-How to interpret variants of unknown significance.

Tremmel R, Pirmann S, Zhou Y, Lauschke V Br J Clin Pharmacol. 2023; 91(2):252-263.

PMID: 37759374 PMC: 11773106. DOI: 10.1111/bcp.15915.

References
1.
Collins F, Varmus H . A new initiative on precision medicine. N Engl J Med. 2015; 372(9):793-5. PMC: 5101938. DOI: 10.1056/NEJMp1500523. View

2.
Gaedigk A . Complexities of CYP2D6 gene analysis and interpretation. Int Rev Psychiatry. 2013; 25(5):534-53. DOI: 10.3109/09540261.2013.825581. View

3.
Koren G, Cairns J, Chitayat D, Gaedigk A, Leeder S . Pharmacogenetics of morphine poisoning in a breastfed neonate of a codeine-prescribed mother. Lancet. 2006; 368(9536):704. DOI: 10.1016/S0140-6736(06)69255-6. View

4.
Theken K, Lee C, Gong L, Caudle K, Formea C, Gaedigk A . Clinical Pharmacogenetics Implementation Consortium Guideline (CPIC) for CYP2C9 and Nonsteroidal Anti-Inflammatory Drugs. Clin Pharmacol Ther. 2020; 108(2):191-200. PMC: 8080882. DOI: 10.1002/cpt.1830. View

5.
Mega J, Close S, Wiviott S, Shen L, Hockett R, Brandt J . Cytochrome p-450 polymorphisms and response to clopidogrel. N Engl J Med. 2008; 360(4):354-62. DOI: 10.1056/NEJMoa0809171. View