ArticlePharmacogenomics2010
Pharmacogenomics of membrane transporters: past, present and future.
Article in Pharmacogenomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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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
14 citing papers in PubMed.
- Genomewide association study of tenofovir pharmacokinetics and creatinine clearance in AIDS Clinical Trials Group protocol A5202.Pharmacogenetics and genomics · 2015Trial
- A transcytotic transport mechanism across the tympanic membrane.Scientific reports · 2022Article
- Pharmacogenetics-based population pharmacokinetic analysis and dose optimization of valproic acid in Chinese southern children with epilepsy: Effect ofFrontiers in pharmacology · 2022Article
- Pharmacogenomics with red cells: a model to study protein variants of drug transporter genes.Vox sanguinis · 2021Review
- Pharmacogenetics of Membrane Transporters of Tacrolimus in Solid Organ Transplantation.Clinical pharmacokinetics · 2019Review
- Capturing the applicability of in vitro-in silico membrane transporter data in chemical risk assessment and biomedical research.The Science of the total environment · 2018Article
- ABC transporter polymorphisms are associated with irinotecan pharmacokinetics and neutropenia.The pharmacogenomics journal · 2018Article
- The pharmacogenomics of severe traumatic brain injury.Pharmacogenomics · 2017Review
- Organic Cation Transporter 2 (OCT2/SLC22A2) Gene Variation in the South African Bantu-Speaking Population and Functional Promoter Variants.Omics : a journal of integrative biology · 2017Article
- Impact of New Genomic Technologies on Understanding Adverse Drug Reactions.Clinical pharmacokinetics · 2016Review
- Pharmacogenomics of phase II metabolizing enzymes and drug transporters: clinical implications.The pharmacogenomics journal · 2013Review
- Human intestinal transporter database: QSAR modeling and virtual profiling of drug uptake, efflux and interactions.Pharmaceutical research · 2013Article
- Population pharmacokinetic study of memantine: effects of clinical and genetic factors.Clinical pharmacokinetics · 2013Article
- Variation and evolution of the ABC transporter genes ABCB1, ABCC1, ABCG2, ABCG5 and ABCG8: implication for pharmacogenetics and disease.Drug metabolism and drug interactions · 2011Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Membrane transporters are major determinants of the absorption, distribution and elimination of many of the most commonly used drugs. In the past decade, the field of membrane transporter pharmacogenomics has undergone enormous growth. In particular, functional genomic and clinical studies have provided new information regarding the contribution of coding variants in transporters to drug disposition and response. With continuing advances in sequencing technologies and large-scale human variation studies, over the next decade, knowledge in the field will be transformed. In particular, functional variants in noncoding regions of transporters will be discovered, and large clinical studies will result in the identification of variants in multiple genes, including transporter genes, which contribute to variation in clinical drug response.
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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.