ArticleComputational and structural biotechnology journal2020
Pharmacogenomic network analysis of the gene-drug interaction landscape underlying drug disposition.
Article in Computational and structural biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- Bioinformatic challenges for pharmacogenomic study: tools for genomic data analysis.Frontiers in pharmacology · 2025Article
- Shared Genetic Characteristics of Coronary Artery Disease and Peripheral artery Disease: Insights From Integrated Bioinformatics Analysis of RNA-Sequencing Data.Bioinformatics and biology insights · 2025Article
- Profibrotic Inflammatory Cytokines and Growth Factors Are Predicted as the Key Targets ofPharmaceuticals (Basel, Switzerland) · 2024Article
- An Exploratory Application of Multilayer Networks and Pathway Analysis in Pharmacogenomics.Genes · 2023Article
- Use of pharmacogenomics in elderly patients treated for cardiovascular diseases.Croatian medical journal · 2020Review
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent decades the identification of pharmacogenomic gene-drug associations has evolved tremendously. Despite this progress, a major fraction of the heritable inter-individual variability remains elusive. Higher-dimensional phenomena, such as gene-gene-drug interactions, in which variability in multiple genes synergizes to precipitate an observable phenotype have been suggested to account at least for part of this missing heritability. However, the identification of such intricate relationships remains difficult partly because of analytical challenges associated with the complexity explosion of the problem. To facilitate the identification of such combinatorial pharmacogenetic associations, we here propose a network analysis strategy. Specifically, we analyzed the landscape of drug metabolizing enzymes and transporters for 100 top selling drugs as well as all compounds with pharmacogenetic germline labels or dosing guidelines. Based on this data, we calculated the posterior probabilities that gene
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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.