ArticleP & T : a peer-reviewed journal for formulary management2014
Drug-gene interactions: inherent variability in drug maintenance dose requirements.
Article in P & T : a peer-reviewed journal for formulary management, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.
- Risk of major adverse cardiovascular events in CYP2C19 LoF genotype guided clopidogrel against alternative antiplatelets for CAD patients undergoing PCI: Meta-analysis.Clinical and translational science · 2025Pooled it
- Exploiting meta-analysis of genome-wide interaction with serum 25-hydroxyvitamin D to identify novel genetic loci associated with pulmonary function.The American journal of clinical nutrition · 2024Pooled it
- Utilisation of drugs with pharmacogenetic recommendations in children in Switzerland.The pharmacogenomics journal · 2025Article
- Pharmacogenetic Testing in the Outpatient Setting in Switzerland: A Descriptive Study Using Swiss Claims Data.Drug safety · 2025Article
- The Prevalence of Potential Drug-Drug-Gene Interactions: A Descriptive Study Using Swiss Claims Data.Pharmacogenomics and personalized medicine · 2025Article
- The impact ofFrontiers in pharmacology · 2025Article
- Genetic ancestry in population pharmacogenomics unravels distinct geographical patterns related to drug toxicity.iScience · 2024Article
- Effects of intermittent fasting on the histology and mRNA expression of major drug-metabolizing cyp450s in the liver of diabetic mice.The Libyan journal of medicine · 2023Article
- Insight into Risk Factors, Pharmacogenetics/Genomics, and Management of Adverse Drug Reactions in Elderly: A Narrative Review.Pharmaceuticals (Basel, Switzerland) · 2023Review
- Utilization of Drugs with Pharmacogenetic Dosing Recommendations in Switzerland: A Descriptive Study Using the Helsana Database.Pharmacogenomics and personalized medicine · 2022Article
- Precision medicine for rheumatologists: lessons from the pharmacogenomics of azathioprine.Clinical rheumatology · 2021Review
- Impact of Drug-Gene-Interaction, Drug-Drug-Interaction, and Drug-Drug-Gene-Interaction on (es)Citalopram Therapy: The PharmLines Initiative.Journal of personalized medicine · 2020Article
- Delineating significant genome-wide associations of variants with antipsychotic and antidepressant treatment response: implications for clinical pharmacogenomics.Human genomics · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The influence of genetics on pharmacokinetics can introduce variability among individual patients that may cause treatment failure, toxicity, or both. Such variability, specifically in clearance rates, can influence drug maintenance dosing regimens.
Indexed as
Identifiers
25210416PMC4159057W2194197754What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.