The UKCPA Genomics community was formed in 2022 to bring together pharmacy professionals with an interest in the rapidly-developing field of genomic medicine.
Pharmacogenomics, where a DNA sequence is used to predict the response to, and metabolism of, medicines, and the risk of adverse effects from medicines, is starting to become more commonplace within the NHS and is offered by some private providers.
In this article, we provide an overview of what we consider to be the key core concepts of genomics for pharmacy teams, as genomic literacy is going to be important for us to help patients get the most from their medicines using this new technology.
DNA makes RNA makes protein. Four ‘letters’ make up the genomic code of DNA: A, T, C, G
The human genome has three billion letters. A single letter change in the DNA sequence, as well as larger changes, can cause disease but there is lots of normal human variation too (such as those responsible for eye colour)
Genes are sequences of DNA that code for proteins. However, these only make up around two percent of the genome; the remainder is involved in the regulation of gene expression and other cellular processes, and studying sequences outside of genes is sometimes useful in understanding pathology. The terms genetics and genomics are therefore not identical but are often used interchangeably.
Genomic medicine allows us to diagnose and categorise diseases (such as monogenic diabetes, which doesn’t require insulin therapy), trace inherited genetic conditions through families (e.g. familial hypercholesterolaemia), and categorise cancers according to prognostic indicators. It can also be used to identify pathogens and predict antimicrobial susceptibility, and track outbreaks and evolution of pathogen (e.g. Coronavirus).
Genomic medicine includes gene therapy, where we can replace missing genes to treat disease (e.g. zolgensma in spinal muscular atrophy), and CAR-T where white blood cells are taken from patients with cancer and programmed to target cancerous cells before being returned to the patient. Some medicines have gene-sequence based targets (e.g. ivacaftor/lumacaftor in CF, cancer therapies targeted to specific pathways such as tyrosine kinase inhibitors, NTRK inhibitors).
Genomic medicine also includes pharmacogenomics which uses sequencing to predict drug metabolism and risk of adverse effects, and for example whether a drug target is present.
There are hundreds of drug-gene pairs where we can predict whether someone is likely to be a low- , high- or normal-metaboliser, or even non-metaboliser, for a medicine. This information can be used to modify:
Dose, if low metabolism would result in toxicity (e.g. patients with DPYD low-metaboliser variants being prescribed fluoropyrimidines)
Drug choice, if low metabolism would result in inactivity (e.g. prodrug clopidogrel not activated sufficiently by CYP2C19, resulting in lack of antiplatelet effect).
Adverse events can be predicted by HLA typing for some medicines, e.g. allopurinol, abacavir, carbamazepine. The DNA sequences that are associated with these ADRs vary according to ancestry of patients.
More evidence is needed, particularly in real-world situations, and not all pharmacogenomic tests are currently commissioned in the UK. Pharmacy teams should contribute to this research effort.
A patient-centred approach to medicines uses pharmacogenomics alongside renal and hepatic function, cost-effectiveness, drug interactions and other patient factors to decide on the right medicine for the patient, at the right dose, at the right time.
Pharmacy teams should be ready to have conversations about genomics with patients, the public, and the multidisciplinary team.
Increasing use of direct-to-consumer tests, and awareness of genomics, will bring patients to discuss these issues with you. Pharmacy teams across the healthcare system need to be ready to explain benefits and limitations, and signpost to patient information.
If you would like to know more, please join the UKCPA Genomics community where you can access the online forum and educational opportunities in genomics, plus recordings of webinars and other resources.
The opinions expressed in this article are those of the author. They do not purport to reflect the opinions or views of the UKCPA or its members. We encourage readers to follow links and references to primary research papers and guidance.
The author declares: no support from any organisation for the submitted work; no financial relationships with any organisations that might have an interest in the submitted work in the previous three years; no other relationships or activities that could appear to have influenced the submitted work.
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