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Georgitsi M, Viennas E, Gkantouna V, Christodoulopoulou E, Zagoriti Z, Tafrali C, Ntellos F, Giannakopoulou O, Boulakou A, Vlahopoulou P, Kyriacou E, Tsaknakis J, Tsakalidis A, Poulas K, Tzimas G, Patrinos GP. Population-specific documentation of pharmacogenomic markers and their allelic frequencies in FINDbase. Pharmacogenomics 2011; 12:49-58. [DOI: 10.2217/pgs.10.169] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
Abstract
Aims: Population and ethnic group-specific allele frequencies of pharmacogenomic markers are poorly documented and not systematically collected in structured data repositories. We developed the Frequency of Inherited Disorders Pharmacogenomics database (FINDbase-PGx), a separate module of the FINDbase, aiming to systematically document pharmacogenomic allele frequencies in various populations and ethnic groups worldwide. Materials & methods: We critically collected and curated 214 scientific articles reporting pharmacogenomic markers allele frequencies in various populations and ethnic groups worldwide. Subsequently, in order to host the curated data, support data visualization and data mining, we developed a website application, utilizing Microsoft™ PivotViewer software. Results: Curated allelic frequency data pertaining to 144 pharmacogenomic markers across 14 genes, representing approximately 87,000 individuals from 150 populations worldwide, are currently included in FINDbase-PGx. A user-friendly query interface allows for easy data querying, based on numerous content criteria, such as population, ethnic group, geographical region, gene, drug and rare allele frequency. Conclusion: FINDbase-PGx is a comprehensive database, which, unlike other pharmacogenomic knowledgebases, fulfills the much needed requirement to systematically document pharmacogenomic allelic frequencies in various populations and ethnic groups worldwide.
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Affiliation(s)
- Marianthi Georgitsi
- Department of Pharmacy, School of Health Sciences, University of Patras, Patras, Greece
| | - Emmanouil Viennas
- Department of Computer Engineering & Informatics, Faculty of Engineering, University of Patras, Patras, Greece
| | - Vassiliki Gkantouna
- Department of Computer Engineering & Informatics, Faculty of Engineering, University of Patras, Patras, Greece
| | | | - Zoi Zagoriti
- Department of Pharmacy, School of Health Sciences, University of Patras, Patras, Greece
| | - Christina Tafrali
- Department of Pharmacy, School of Health Sciences, University of Patras, Patras, Greece
| | - Fotios Ntellos
- Department of Pharmacy, School of Health Sciences, University of Patras, Patras, Greece
| | - Olga Giannakopoulou
- Department of Pharmacy, School of Health Sciences, University of Patras, Patras, Greece
| | - Athanassia Boulakou
- Department of Pharmacy, School of Health Sciences, University of Patras, Patras, Greece
| | - Panagiota Vlahopoulou
- Department of Pharmacy, School of Health Sciences, University of Patras, Patras, Greece
| | - Eva Kyriacou
- Department of Pharmacy, School of Health Sciences, University of Patras, Patras, Greece
| | - John Tsaknakis
- Department of Computer Engineering & Informatics, Faculty of Engineering, University of Patras, Patras, Greece
| | - Athanassios Tsakalidis
- Department of Computer Engineering & Informatics, Faculty of Engineering, University of Patras, Patras, Greece
| | - Konstantinos Poulas
- Department of Pharmacy, School of Health Sciences, University of Patras, Patras, Greece
| | - Giannis Tzimas
- Department of Computer Engineering & Informatics, Faculty of Engineering, University of Patras, Patras, Greece
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