Marleen Julia Meyer-Tönnies, Leefke Schwarz, Diana Wucherer, Wolfgang Hoffmann, Jochen René Thyrian, Mladen Vassilev Tzvetkov
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引用次数: 0
Abstract
Introduction: Pharmacogenetics-guided prescribing may reduce adverse drug reactions by 30%. European and American expert groups (Dutch Pharmacogenetics Working Group and Clinical Implementation Consortium) issue genotype-based dosage recommendations, but pharmacogenetic testing is still not routinely used. Here, we assess the potential of pharmacogenetic testing to optimize pharmacotherapy in people with dementia (PwD).
Methods: We genotyped variants in CYP2D6, CYP2C9, CYP2C19, CYP3A4, CYP3A5, and SLCO1B1 genes and related them to individual medication data in 115 PwD from an epidemiological cohort from Northeast Germany.
Results: The vast majority of PwD (93%) carried at least one actionable variant. Fourteen (12%) had at least one strongly actionable variant. Four of them (4%) took the drug affected and carried the strongly actionable genetic variant.
Discussion: Pharmacogenetic testing may contribute to improved pharmacotherapy in PwD. The potential improvements were mainly for medications commonly taken by elderly, but also for medications used to treat or associated with progression of dementia.
期刊介绍:
Alzheimer''s & Dementia: Diagnosis, Assessment & Disease Monitoring (DADM) is an open access, peer-reviewed, journal from the Alzheimer''s Association® that will publish new research that reports the discovery, development and validation of instruments, technologies, algorithms, and innovative processes. Papers will cover a range of topics interested in the early and accurate detection of individuals with memory complaints and/or among asymptomatic individuals at elevated risk for various forms of memory disorders. The expectation for published papers will be to translate fundamental knowledge about the neurobiology of the disease into practical reports that describe both the conceptual and methodological aspects of the submitted scientific inquiry. Published topics will explore the development of biomarkers, surrogate markers, and conceptual/methodological challenges. Publication priority will be given to papers that 1) describe putative surrogate markers that accurately track disease progression, 2) biomarkers that fulfill international regulatory requirements, 3) reports from large, well-characterized population-based cohorts that comprise the heterogeneity and diversity of asymptomatic individuals and 4) algorithmic development that considers multi-marker arrays (e.g., integrated-omics, genetics, biofluids, imaging, etc.) and advanced computational analytics and technologies.