ArticleThe pharmacogenomics journal2022
Development of an extensive workflow for comprehensive clinical pharmacogenomic profiling: lessons from a pilot study on 100 whole exome sequencing data.
Article in The pharmacogenomics journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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
8 citing papers in PubMed.
- Benchmark of Open-Access Star-Allele Callers to Accurately Assess Haplotypes and Phenotypes in Pharmacogenetic Studies.Clinical pharmacology and therapeutics · 2026Article
- Computational variant predictors for pharmacogenomics: from evaluation of single alleles to assessment of adverse drug reactions to antidepressants.The pharmacogenomics journal · 2026Article
- Leveraging long-read sequencing technologies for pharmacogenomic testing: applications, analytical strategies, challenges, and future perspectives.Frontiers in genetics · 2025Review
- Genetic Landscape of VIP Pharmacogenomic Variants in the Kinh Vietnamese Population.Pharmacogenomics and personalized medicine · 2025Article
- PharmVar Tutorial on CYP2D6 Structural Variation Testing and Recommendations on Reporting.Clinical pharmacology and therapeutics · 2023Review
- Pharmacovariome scanning using whole pharmacogene resequencing coupled with deep computational analysis and machine learning for clinical pharmacogenomics.Human genomics · 2023Article
- Toward Integration of Pharmacogenomic Tests into Daily Clinical Practice: A General Survey for Polish Healthcare Workers.Medical science monitor : international medical journal of experimental and clinical research · 2023Article
- Editorial: Integration of computational genomics into clinical pharmacogenomic tests: how bioinformatics may help primary care in precision medicine area.Frontiers in genetics · 2023Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This pilot study is aimed at implementing an approach for comprehensive clinical pharmacogenomics (PGx) profiling. Fifty patients with cardiovascular diseases and 50 healthy individuals underwent whole-exome sequencing. Data on 1800 PGx genes were extracted and analyzed through deep filtration separately. Theoretical drug induced phenoconversion was assessed for the patients, using sequence2script. In total, 4539 rare variants (including 115 damaging non-synonymous) were identified. Four publicly available PGx bioinformatics algorithms to assign PGx haplotypes were applied to nine selected very important pharmacogenes (VIP) and revealed a 45-70% concordance rate. To ensure availability of the results at point-of-care, actionable variants were stored in a web-hosted database and PGx-cards were developed for quick access and handed to the study subjects. While a comprehensive clinical PGx profile could be successfully extracted from WES data, available tools to interpret these data demonstrated inconsistencies that complicate clinical application.
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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 Socratic graph.