DruGeVar: An Online Resource Triangulating Drugs with Genes and Genomic Biomarkers for Clinical Pharmacogenomics

被引：11

作者：

Dalabira, Eleni ^{[1
]}

Viennas, Emmanouil ^{[2
]}

Daki, Elisavet ^{[1
]}

Komianou, Angeliki ^{[1
]}

Bartsakoulia, Marina ^{[1
]}

Poulas, Konstantinos ^{[1
]}

Katsila, Theodora ^{[1
]}

Tzimas, Giannis ^{[3
]}

Patrinos, George P. ^{[1
]}

机构：

[1] Univ Patras, Dept Pharm, Sch Hlth Sci, GR-26504 Patras, Greece

[2] Univ Patras, Fac Engn, Dept Comp Engn & Informat, GR-26504 Patras, Greece

[3] Technol Educ Inst Western Greece, Dept Comp & Informat Engn, Patras, Greece

来源：

PUBLIC HEALTH GENOMICS | 2014年 / 17卷 / 5-6期

关键词：

Databases; Data interpretation; Data querying; Drug; Gene; Pharmacogenomics;

D O I：

10.1159/000365895

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

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. (C) 2014 S. Karger AG, Basel

引用

页码：265 / 271

页数：7

共 8 条

[1]

Bell Michael., 2010, SOA Modeling Patterns for Service Oriented Discovery and Analysis, V1st

[2]

Geogitsi M, 2011, PHARMACOGENOMICS, V12, P49, DOI [10.2217/pgs.10.169, 10.2217/PGS.10.169]

[3] Pharmacogenetics in the evaluation of new drugs: a multiregional regulatory perspective [J].

Maliepaard, Marc ;

Nofziger, Charity ;

Papaluca, Marisa ;

Zineh, Issam ;

Uyama, Yoshiaki ;

Prasad, Krishna ;

Grimstein, Christian ;

Pacanowski, Michael ;

Ehmann, Falk ;

Dossena, Silvia ;

Paulmichl, Markus .

NATURE REVIEWS DRUG DISCOVERY, 2013, 12 (02) :103-115

[4] Developments in FINDbase worldwide database for clinically relevant genomic variation allele frequencies [J].

Papadopoulos, Petros ;

Viennas, Emmanouil ;

Gkantouna, Vassiliki ;

Pavlidis, Cristiana ;

Bartsakoulia, Marina ;

Ioannou, Zafeiria-Marina ;

Ratbi, Ilham ;

Sefiani, Abdelaziz ;

Tsaknakis, John ;

Poulas, Konstantinos ;

Tzimas, Giannis ;

Patrinos, George P. .

NUCLEIC ACIDS RESEARCH, 2014, 42 (D1) :D1020-D1026

[5] Deciphering next-generation pharmacogenomics: an information technology perspective [J].

Potamias, George ;

Lakiotaki, Kleanthi ;

Katsila, Theodora ;

Lee, Ming Ta Michael ;

Topouzis, Stavros ;

Cooper, David N. ;

Patrinos, George P. .

OPEN BIOLOGY, 2014, 4 (07)

[6]

Thorn Caroline F, 2013, Methods Mol Biol, V1015, P311, DOI 10.1007/978-1-62703-435-7_20

[7]

Vogel F., 1959, ERG INN MED KINDERHK, P52

[8] Genomic medicine - Inheritance and drug response. [J].

Weinshilboum, R .

NEW ENGLAND JOURNAL OF MEDICINE, 2003, 348 (06) :529-537

← 1 →