BACKGROUND/AIMS: Pharmacogenomics aims to rationalize drug use by minimizing drug toxicity and/or by increasing drug efficacy. A large number of genomic markers have been correlated with variable drug responses and severity of adverse drug reactions. Although a number of these drugs bear pharmacogenomic information in their labels--approved by regulatory agencies--and comprehensive drug/gene lists exist online, information related to the respective pharmacogenomic biomarkers is currently missing from such lists. METHODS: We extracted information from the published literature and online resources and developed DruGeVar (http://drugevar.genomicmedicinealliance.org), an online resource triangulating drugs with genes and pharmacogenomic biomarkers in an effort to build a comprehensive database that could serve clinical pharmacogenomics. RESULTS AND CONCLUSIONS: A user-friendly data querying and visualization interface allows users to formulate simple and complex queries. Such a database would be readily applicable as a stand-alone resource or a plug-in module for other databases.
BACKGROUND/AIMS: Pharmacogenomics aims to rationalize drug use by minimizing drug toxicity and/or by increasing drug efficacy. A large number of genomic markers have been correlated with variable drug responses and severity of adverse drug reactions. Although a number of these drugs bear pharmacogenomic information in their labels--approved by regulatory agencies--and comprehensive drug/gene lists exist online, information related to the respective pharmacogenomic biomarkers is currently missing from such lists. METHODS: We extracted information from the published literature and online resources and developed DruGeVar (http://drugevar.genomicmedicinealliance.org), an online resource triangulating drugs with genes and pharmacogenomic biomarkers in an effort to build a comprehensive database that could serve clinical pharmacogenomics. RESULTS AND CONCLUSIONS: A user-friendly data querying and visualization interface allows users to formulate simple and complex queries. Such a database would be readily applicable as a stand-alone resource or a plug-in module for other databases.
Authors: Konstantinos Mitropoulos; Hayat Al Jaibeji; Diego A Forero; Paul Laissue; Ambroise Wonkam; Catalina Lopez-Correa; Zahurin Mohamed; Wasun Chantratita; Ming Ta Michael Lee; Adrian Llerena; Angela Brand; Bassam R Ali; George P Patrinos Journal: Hum Genomics Date: 2015-06-18 Impact factor: 4.639
Authors: Petr Smirnov; Victor Kofia; Alexander Maru; Mark Freeman; Chantal Ho; Nehme El-Hachem; George-Alexandru Adam; Wail Ba-Alawi; Zhaleh Safikhani; Benjamin Haibe-Kains Journal: Nucleic Acids Res Date: 2018-01-04 Impact factor: 16.971
Authors: Emmanouil Viennas; Angeliki Komianou; Clint Mizzi; Maja Stojiljkovic; Christina Mitropoulou; Juha Muilu; Mauno Vihinen; Panagiota Grypioti; Styliani Papadaki; Cristiana Pavlidis; Branka Zukic; Theodora Katsila; Peter J van der Spek; Sonja Pavlovic; Giannis Tzimas; George P Patrinos Journal: Nucleic Acids Res Date: 2016-10-18 Impact factor: 16.971