ReviewDrug discovery today2011
A conceptual framework for pharmacodynamic genome-wide association studies in pharmacogenomics.
Review in Drug discovery today, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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.
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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.
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Who cites it
9 citing papers in PubMed.
- Review on Databases and Bioinformatic Approaches on Pharmacogenomics of Adverse Drug Reactions.Pharmacogenomics and personalized medicine · 2021Review
- A unified mapping framework of multifaceted pharmacodynamic responses to hypertension interventions.Drug discovery today · 2019Review
- Genetic associations of the response to inhaled corticosteroids in asthma: a systematic review.Clinical and translational allergy · 2019Review
- Mapping genes for drug chronotherapy.Drug discovery today · 2018Review
- Genomewide Association Study Identifies Novel Genetic Loci That Modify Antiplatelet Effects and Pharmacokinetics of Clopidogrel.Clinical pharmacology and therapeutics · 2017Article
- Pharmacodynamic genome-wide association study identifies new responsive loci for glucocorticoid intervention in asthma.The pharmacogenomics journal · 2015Article
- Asthma Pharmacogenomics: 2015 Update.Current allergy and asthma reports · 2015Review
- Genome-wide interrogation of longitudinal FEV1 in children with asthma.American journal of respiratory and critical care medicine · 2014Article
- Stochastic modeling of systems mapping in pharmacogenomics.Advanced drug delivery reviews · 2013Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Genome-wide association studies (GWAS) have emerged as a powerful tool to identify loci that affect drug response or susceptibility to adverse drug reactions. However, current GWAS based on a simple analysis of associations between genotype and phenotype ignores the biochemical reactions of drug response, thus limiting the scope of inference about its genetic architecture. To facilitate the inference of GWAS in pharmacogenomics, we sought to undertake the mathematical integration of the pharmacodynamic (PD) process of drug reactions through computational models. By estimating and testing the genetic control of PD and pharmacokinetic (PK) parameters, this mechanistic approach does not only enhance the biological and clinical relevance of significant genetic associations, but also improve the statistical power and robustness of gene detection. This report discusses the general principle and development of PDs-based GWAS, highlights the practical use of this approach in addressing various pharmacogenomic problems, and suggests that this approach will be an important method to study the genetic architecture of drug responses or reactions.
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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.